. .r ,.~wm.m...h...v um. s: ‘\ L ha," .. ‘10:: , .0!— . a, infirm“. 11:51.” A.» . A. > x maxi“. .2 .. "L in. . . .. . . r... , “3.13.. _ _ 7 . ‘ a Eufifi gayfié. n1. :4 cc 4 50§w33”1 LIBFMHUY Michigan State University This is to certify that the dissertation entitled EXPLORING EXPLANATIONS FOR THE ILLUSION OF GROUP PRODUCTIVITY presented by Emest Sunwoo Park has been accepted towards fulfillment of the requirements for the Ph. D. degree in Psychology Major Professor’s/Signature December 9, 2003 Date MSU is an Affirmative Action/Equal Opportunity Institution PLACE IN RETURN BOX to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/01 c;/ClRC/DateDue.p65-p.15 EXPLORIN G EXPLANATIONS FOR THE ILLUSION OF GROUP PRODUCTIVITY By Ernest Sunwoo Park A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Psychology 2003 ABSTRACT EXPLORING EXPLANATIONS FOR THE ILLUSION OF GROUP PRODUCTIVITY By Ernest Sunwoo Park Although brainstorming groups are often used to generate ideas, there is little (if any) empirical evidence to suggest that groups are actually more productive at idea generation than the same number of individuals brainstorming alone. In fact, results from numerous studies have found that interacting groups are actually much less productive in comparison to the combined products of the same number of individual brainstormers (known as nominal group members). It is possible that this seemingly irrational trend of assigning groups for brainstorming purposes is perpetuated by an interesting effect, called the illusion of group productivity. The illusion of group productivity refers to a consistent finding where group members report feeling more satisfied with their personal performance at the task relative to individuals who brainstormed alone, despite the fact that group members are generally being outperformed. The purpose of the current study was to examine possible explanations for this illusion effect, in particular, to examine the potential role of mood influences on performance perceptions. Participants were 231 female undergraduates from Michigan State University. The design was a 2 (group: nominal vs. face-to-face) X 2 (mood: neutral vs. negative) between-subjects factorial. Participants were asked to brainstorm on a topic either as a member of a 3-person nominal or face-to-face group. Mood was then manipulated, and participants were subsequently asked to make judgments about their brainstorming performance. Results show the illusion effect was again replicated. However, there was no evidence for the hypothesis that mood mediates the relationship between group condition and perceptions of performance. Other possible explanations besides mood were examined and are discussed, as are potential implications and future research possibilities. To Norbert Kerr, Lawrence Messé, Gwen Wittenbaum and Richard Lucas for sharing their knowledge and guidance over the years. And, to Kristy Dean, my family, and friends for all of their support. iv TABLE OF CONTENTS INTRODUCTION ............................................................................... l NIETHOD ........................................................................................ 46 RESULTS ........................................................................................ 64 DISCUSSION .................................................................................... 92 APPENDICES .................................................................................. 105 REFERENCES ................................................................................. 129 Introduction Group researchers can attest to the basic notion that groups differ from collections of individuals. This principle is perhaps the foundation or building block for the fascination that has inspired and enthralled group researchers over the years. Being a part of a group, or working within group settings psychologically “feels” different than being or working alone. In some sense, the fact that arousal increases in the mere presence of others helps to support this claim (e. g., Zajonc, 1980a; Carver & Scheier, 1981), as do the numerous surveys (e.g., Stroebe, Diehl, & Abakoumkin, 1992; Paulus, Dzindolet, Poletes, & Camacho, 1993) which show that a majority of people favor working on tasks in groups rather than by themselves. So for whatever reason, being in a group feels different from being alone, and being in a performance group is generally more desired than performing alone. The true significance and implications of this statement however do not fully surface until one begins to consider and incorporate some of the ideas that have been born out of the social cognition area. One major contribution from social cognitive psychologists has been the discovery that affective states influence judgments and information processing (e. g., Bruner, 1957; Zajonc, 1980b; Schwarz & Clore, 1983). To date, a wide range of research has been devoted to understanding how and why feelings affect cognitions (see Eich, Kihlstrom, Bower, Forgas, & Niedenthal, 2000; Forgas, 2001; and Martin & Clore, 2001 for reviews). So building on the assumption that the affective experience differs between people working with others versus working alone, one can conclude that under some circumstances group members are likely to process information differently than people who are by themselves. Therefore, some important questions for group researchers to examine are: l)“What are people feeling when they are in groups?” 2) “How do their feelings affect their cognitions?” 3) “How do their cognitions affect their perceptions?” and 4) “How do their perceptions affect their behavior?” Conveniently, to attempt to get at the heart of many of these questions, one can turn to an interesting effect that has been consistently found in small group research: “the illusion of group productivity.” The illusion of group productivity effect In laboratory studies on idea generation, face-to-face (ftf) groups are consistently outperformed by the same number of individuals working at the task alone (e.g., Diehl & Stroebe, 1987; Stroebe et al., 1992; Paulus et al., 1993). Despite the abundance of empirical research illustrating this effect, the procedure of group brainstorming persists as a popular and widely used technique for problem-solving and idea generation. So why is group brainstorming so common if it generally yields sub-optimal results? One possible explanation may follow from an interesting perceptual effect, a finding which has been aptly dubbed by Diehl & Stroebe (1987), “the illusion of group effectivity (productivity).” Past researchers (e. g., Diehl & Stroebe, 1987; Stroebe et al., 1992; Paulus et al., 1993; Nijstad, 2000) have found that people have a persistent belief that: 1) groups can stimulate creativity, 2) that relative to working alone, working in groups can lead to enhanced personal performance and 3) that groups as a whole are more effective and productive than the same number of people working alone (the latter are commonly referred to as nominal groups). In line with these beliefs, participants who work on a task in a group are generally more satisfied with their personal performance than participants who work by themselves. These beliefs and overestimations in performance are often referred to as the illusion of group productivity because although ftf groups are generally not more productive than nominal groups people believe they are, and although participants feel more satisfied when working in groups compared to working alone, they are actually less productive in group settings (Nijstad, 2000). This is an interesting and consequential effect because the feelings of satisfaction that are experienced by ftf group members may: a) inadvertently lead to poorer performance (Paulus et al., 1993) and, b) may contribute in part to the persistent use of task groups in the work place. Now unfortunately, to date, there have been several discrepancies in how the illusion is defined. In the abstract of their 1992 paper, Stroebe et al. state that, “the illusion of group effectivity refers to the belief, persistent despite contradictory empirical evidence, that groups can stimulate creativity.” However, within the introduction of the same paper, the authors refer to the illusion of group effectivity as a phenomenon where people are more likely to embrace working in groups, “in spite of consistent empirical evidence that people produce many more ideas when they work individually rather than in groups.” This second conceptualization of the illusion effect differs from the first in at least one significant way. The essence of the illusion as defined in their abstract (Stroebe et al., 1992) is based on the notion that groups stimulate creativity. However, in the latter conceptualization of the illusion, productivity and not creativity is what is emphasized. Therefore, there seems to be some ambiguity as to whether the illusion effect refers to perceptions of creativity versus productivity. However, later in the paper when discussing their results, Stroebe et al. (1992) suggest that they have “persuasive evidence for the operation of the illusion of group effectivity,” because: 1) compared to participants who worked individually, group members were more satisfied with their performance and felt more at ease in the brainstorming session despite the usual paradoxical performance effect, and because 2) participants who worked individually believed that they would have had many more ideas if they had been in a group, whereas group members did not believe that they would have done better individually. Given these conclusions offered by the authors, and considering the proposed mechanism that the authors develop to explain the illusion effect (which will be described subsequently), one can only reach the conclusion that the authors are conceptualizing the illusion effect to be one of an overestimation of performance by group members which is based on productivity, and not creativity. Admittedly, Stroebe et al. would be likely to argue that the point is moot, because quantity has been found to be highly correlated with quality (Diehl & Stroebe, 1987). However, I believe the inconsistency should at least be noted because how concepts are operationalized can have profound effects on how one chooses to measure the phenomenon. To further complicate the matter, Paulus et a1. (1993) published a paper outlining a series of studies on the illusion of group productivity. Paulus et al. defined this illusion effect as one where members of ftf groups overestimate their perceptions of efficacy. Paulus et al. demonstrated this effect by showing that participants in ftf brainstorming groups consistently rated “the number of ideas (from very few to very many) that they personally came up with” significantly higher than participants in nominal groups, despite the usual performance differences that favored nominal group members. As one can see, the illusion of group productivity bears a striking resemblance to the illusion of group effectivity. The only apparent difference seems to be in how the illusion is measured. In Stroebe et al. (1992), participants rated how satisfied they were with their performance, whereas in Paulus et al. (1993) participants made ratings on the number of ideas that they personally generated. Now interestingly in 2000, Nijstad, a former student of both Paulus and Stroebe, published a series of studies on brainstorming groups. In his report, Nijstad (2000) states: Most participants working in the laboratory, as well as in organizations, believe that group brainstorming is more effective than individual brainstorming (e.g., Stroebe et al., 1992; Paulus et al., 1993; Paulus, Larey, & Ortega, 1995). This is true even after repeated experiences with group or individual brainstorming. In line with this finding, participants who have worked in groups are generally more satisfied with their performance than participants who have worked individually (e. g., Diehl & Stroebe, 1987). Researchers have called these beliefs the ‘illusion of group effectivity’ (Stroebe et al., 1992) or the ‘illusion of group productivity (Paulus et al., 1993). (pg. 5) From his synopsis, it is evident that Ni jstad assumes that the illusion of group effectivity and productivity are interchangeable concepts, and he assumes that the illusion is both a general belief in the superiority of groups, and an “unwarranted,” and increased sense of satisfaction from ftf group members (or conversely, an “unwarranted” and decreased sense of satisfaction from nominal group members). Curiously, in his empirical studies on the illusion effect, Nijstad (as do Stroebe et al., 1992) concentrates on the “inflated” ratings of satisfaction that are found among the ftf group members, and does not again refer to the illusion in terms of a general belief in the superiority of groups when proposing explanatory mechanisms that possibly underlie the effect. Therefore, the most consistent (and preferred by the author of this study) conceptualization of the illusion of group productivity or effectivity appears to be one where members of ftf groups feel more satisfied with their personal performance compared to members of nominal groups, in spite of the performance superiority of members of nominal groups (oddly, although Paulus et al. (1993) never measured ratings of satisfaction, Nijstad (2000) continually interprets the differences found in Paulus et al. on the “rate the number of ideas generated” measure in terms of differences in “satisfaction”). An additional advantage of using “satisfaction” as a measure rather than the measure used by Paulus et al. (1993), is that satisfaction measures can be applied in studies that use paradigms other than idea generation tasks. However, in the present study, all of the various ways that have been used to define the illusion were considered. Given that the illusion of group productivity has been consistently documented in brainstorming studies and seems robust and replicable, the interesting psychological question that remains to be answered is, “why are people working in groups more satisfied with their performance relative to nominal group members when their actual performance does not reach the standard of those in nominal groups?” Summary of alternative explanations for the illusion of group productivity Misappropriation of ideas. Several researchers have tried to explain the illusion of group productivity. For example, Stroebe, Diehl, & Abakoumkin (1992) suggest that the illusion of group productivity stems. from misappropriating ideas to an incorrect source. In other words, they suggest that ftf group members may be more satisfied with their performance at a brainstorming task because they may be inadvertently taking credit for ideas that were brought up by others in their group. This explanation is based on two assumptions: 1) individuals share a common motivation to see themselves and their own performance in a positive light, and 2) people who generate ideas in groups (which refers to “face-to-face” of ftf groups unless otherwise noted) have difficulty differentiating their own ideas from those ideas generated by other group members. So, because group members are motivated to perceive themselves as performing well and hence, their imperfect recall is biased, they will be more likely to claim ideas that were originally stated by others as their own. This act of misappropriating ideas may therefore lead to enhanced perceptions of personal performance relative to nominal group members, who cannot make such misappropriations. Although the rationale for the misappropriation explanation is plausible, “direct” empirical evidence supporting this hypothesis is sparse and relatively weak. In their study (Stroebe et al., 1992), participants were first asked to take part in a brainstorming task, either individually or in groups of four. They were given the usual brainstorming rules (i.e., the more ideas the better; say anything that comes to mind; improve or combine ideas already suggested; do not be critical, etc; see Osborn, 1957 for a more detailed description) and were then asked to brainstorm on the issue of improving traffic safety in their country. Participants were led to believe that the purpose of the study was to compare the productivity of persons working individually and persons working in groups. All participants were told that for the purpose of such comparisons, the ideas of those working individually would be combined with ideas from the other three participants in their session to form a “nominal” group product. A clip-on microphone was attached to all participants so ideas could be accurately traced to the original source. The brainstorming rules were reiterated, and participants were then given 15 minutes to work on the task. After the task was completed, participants filled out a post-experimental questionnaire that among other things, asked them to estimate the number of ideas produced by their group (nominal or ftf) and the percentage of those ideas that they themselves had generated. Participants were also asked to state how satisfied they were with their personal performance, how at case they had been during the task, and whether they would have had more ideas if they had worked in a group (individual participants) or if they had worked alone (group participants). To score the performance of each group, first the ideas were transcribed from the tape recordings. Each idea was written on a separate card, with the participant number written on the back. Ideas that were generated more than once were not used when calculating the total number of ideas produced by each group. Results from this study show that the number of non-redundant ideas produced by nominal groups (M = 110.83) was significantly higher than the number of ideas produced by ftf groups (M = 84.55). Participants in nominal groups estimated the number of ideas produced by their group to be M = 35.46, whereas those working in ftf groups estimated the total number of ideas to be M = 22.67. This difference was statistically significant, illustrating nominal group participants reported a substantially mgh_e_r estimate of their group’s productivity, in apparent opposition to the illusion of group productivity]. In direct contradiction to the misappropriation explanation, working condition had no effect on participants’ estimates of what percentage of ideas they themselves had come up with (M nominal = 26.74%; M I Admittedly, this is a curious finding. Perhaps, those participants who were assigned to work in ftf groups came to the conclusion after working in their group, that obstacles such as production blocking (Diehl & Stroebe, 1987) exist. If this is true, then one could assume that the belief in the superiority of groups should diminish after one has some direct experience of being in a work group. Regardless, what is of ftf: 24.48%). If anything, this finding demonstrates that nominal participants felt they were generating more ideas than ftf group participants. For example, if nominal participants believed their group came up with 35 ideas, than 27% of that total would be approximately 9 ideas. On average, ftf group participants on the other hand estimated that their group came up with 23 ideas; 25% of that total would be approximately 6 ideas. It should also be noted that participants in both work conditions estimated that they themselves had contributed to approximately 25% of the group product. This is a reasonable and socially appropriate estimate considering that four person groups were used, however again, this finding directly contradicts the misappropriation of ideas explanation. Interestingly, despite the lack of difference in percentage estimates, participants in the ftf group condition were both significantly more satisfied with their personal performance and enjoyed the experience more. In addition, whereas participants working individually felt they would have had many more ideas if they had worked in a ftf group, participants in the ftf group condition did not feel they would have had as many ideas had they brainstormed alone. 2 So to this point in my review, it appears that there is support for the existence of the illusion of group productivity in certain regards, viz. participants in ftf groups were importance for this paper is why people have a greater sense of satisfaction after working in a ftf group compared to a nominal group. 2 The wording from the Stroebe et al. (1992) is somewhat vague; it is unclear as to whether the participants felt that their performance in a nominal group setting would equal their performance in a face—to—face setting, or whether their performance in a nominal group setting would be inferior to their performance in a face-to-face setting. It should also be noted that from their report, the exact nature of the questions that were proposed to the participants could not be determined. In other words, from reading their article, it is unclear as to whether the participants were presented with Likert-scale questions (e.g., “how enjoyable was the experience?”) or with dichotomous-scale questions (e.g., “in which condition would you enjoy the experience more?”). To clarify these issues, I contacted the authors multiple times, however, they never responded. statistically more satisfied with their personal performance, despite the absence of any empirical justification for such perceptions. In addition, and in line with the illusion effect, Stroebe et al. (1992) found that nominal group participants believed they would have been more productive working in a ftf group. To further test their proposed misappropriation explanation, Stroebe et al. (1992) had their participants come back two weeks after their initial brainstorming session. Prior to working on the task, participants were told during Session 1, that the purpose of the study was to compare the productivity of persons working individually versus individuals working in groups. As a cover story, they were then informed that “because experience had shown that people had many ideas only after the end of a brainstorming session, they would be asked to return for a second session where they would be shown the ideas produced by their group and would be asked to list the ideas they had had in the meantime.” Eighty-six of the original 92 participants returned for Session 2. Upon arrival, participants were given the total set of non-redundant ideas generated by their nominal or ftf group, and were asked to assign each idea to one of the following categories: 1) suggested by me; 2) suggested by another group member but had also occurred to me; and 3) suggested by another group member and had not occurred to me. It was emphasized that the “also occurred to me” category should be used only if the idea had occurred to the participant during the first session. Compared to participants in the nominal group condition, ftf group members assigned a significantly lower percentage of ideas to the categories of “suggested by me” and “suggested by another group member and had not occurred to me.” Participants in the ftf group condition however, assigned a significantly higher proportion of ideas to the category of 10 “suggested by another group member but had also occurred to me.” When participants in ftf groups were asked their reasons for not saying an idea, the typical response was that a similar idea had already been suggested. Nominal group participants on the other hand, typically stated that they had thought that the idea was “not original enough to be mentioned.” To test their assumption that ftf group members would be less accurate than members of nominal groups in their recall or appropriation of ideas, Stroebe et al. also measured the number of “hits” and “misses” by each participant. A “hit” was assigned for the ideas that participants actually suggested and identified as having suggested or for those ideas that the participants correctly identified as not having suggested themselves. “Misses” were assigned for ideas that participants actually suggested but later did not identify as having suggested, or for those ideas that participants erroneously identified as having been suggested by themselves. Results show that there was no difference between conditions in bit rates for ideas that they had not suggested, but there was a significant difference in hit rate for the ideas that they had suggested. More specifically, participants who worked in ftf groups claimed fewer ideas as their own, even though they did suggest the ideas in the initial session. Note that this finding also directly contradicts the misappropriation explanation offered by Stroebe et al. (1992). However, Stroebe et a1. argued they had support for their misappropriation hypothesis because they did in fact find that members of ftf groups had less confidence in the accuracy of their assignment of ideas. In addition, when considering the proportion of ideas that participants claimed occurred to them, regardless of whether or not they suggested them, ftf group members asserted that 61% of the total set of ideas occurred to 11 them while nominal group members claimed that only 47% of the total ideas occurred to them. From their report, it is unclear whether this difference is significant3. Stroebe et al. suggest that the failure to directly support their hypothesis was perhaps due to the fairness norms or self-presentation (e.g., modesty) norms that operate in face-to-face groups. In other words, when the source of an idea is not confidently known, or when the idea is redundant, group members are more likely, relative to nominal group members, to give credit to fellow group members rather than to oneself. The authors argue that because these norms are not relevant to the categorization of “suggested by another but also occurred to me,” the results show higher estimates for this category by members of real groups. Unfortunately, Stroebe et al. (1992) do not provide any direct evidence to show these norms affected the way participants made their categorizations. So, Stroebe et al. (1992) demonstrated the illusion of group productivity by showing that ftf participants were more satisfied with their personal performance compared to nominal participants despite actually performing worse, and by showing that most participants felt that they would have been more productive (or at least equally productive) under ftf group conditions. These are fascinating findings given that the empirical results on actual performance contradict these perceptions. Although Stroebe et al. (1992) in many ways pioneered the research on this interesting phenomenon, the empirical evidence in support of their misappropriation explanation is mixed at best. A Social Comparison Explanation. Another explanation for the illusion of group productivity comes from Paulus et al. ( 1993), who explain the illusion using social 3 A test of significance was not conducted because I could not tell from the article, how many participants were in each condition. All that was reported was that 86 of the original 92 participants returned. 12 comparison theory. These researchers argue that when people are in novel situations or performing novel tasks, they are uncertain about their relative ability level. Conveniently, one inherent aspect of being in a group setting is the provision for people to have the opportunity to compare their own performance to that of others. Extrapolating from findings from Paulus and Dzindolet (1993) which show that brainstorming group members exhibit a tendency towards uniformly low levels of performance, Paulus et al. (1993) argue that social comparison processes should lead most group members to discover that their own performance level is similar to or better than others’. Consequently, group members may perceive their own performance more favorably than is actually warranted. Paulus et al. argue that this process is analogous to the Goethals and Darley (1987) claim that, “groups of similar people. . .with relatively modest abilities can maintain a positive self-evaluation based on their comparisons with the restricted range of abilities that is represented within their group.” Therefore, Paulus et al. suggest that when an individual can compare her or himself to others, because she/he is likely to find that her/his performance level is equivalent to or better than others (if the socially defined level of performance is below the mean as Paulus et al. suggest), the person will be quite satisfied with her/his performance. In addition, reductions in feelings of uncertainty which result from the opportunity to make ability comparisons may increase perceptions of satisfaction. It should be noted, however, that Paulus et al. (1993) did not explicitly argue that the reductions in uncertainty about one’s relative ability level is what leads to increases in satisfaction. Rather, it is actually in Nijstad’s (2000) summary of Paulus et al.’s (1993) 13 social comparison explanation where this argument is explicitly made. In his synopsis of the social comparison explanation, Nijstad (2000) states: Their central assumption is that people are motivated to compare their performance with that of others (social comparison). This is generally the only possible way to evaluate performance, because no objective standards are present. Group members, who have the opportunity to compare their performance with that of fellow group members, will usually find that their performance is quite similar (also see Paulus & Dzindolet, 1993), which will reduce uncertainty and result in high levels of satisfaction. Individuals, who do not have this opportunity, will be insecure and may presume that they have not done particularly well. (pg. 121) In line with Stroebe et a1. (1992), Paulus et al. (1993) also noted that having the opportunity to compare oneself to others may increase the probability of misappropriating ideas which may increase perceptions of performance. So Paulus et al. argue that the ability to compare oneself to others, which is found only in ftf groups and not nominal groups, is essential for boosting one’s perceptions of performance. However, the exact details of this relationship are left quite vague. In their first study, Paulus et al. presented participants with the traditional brainstorming instructions (e. g., generate as many ideas as possible without concern for their quality; say anything that comes to mind; combine and improve on ideas already generated; and do not criticize) and then asked them to rate the extent to which they would perform better in groups or alone on a hypothetical brainstorming task. So after being given a brainstorming topic, participants were asked to answer, “If you had been 14 asked to brainstorm in a group with three other people on this problem, do you think you personally would have generated more or less ideas than if you were brainstorming alone?” Participants responded to this question and a similar question pertaining to the quality of ideas, using a 9-point Likert-scale ranging from “many more ideas in a group” to “many less ideas in a group.” They were also asked to explicitly indicate how many ideas they thought they could generate in a 15 minute period if they were working alone, as well as if they were working in a group with three other members. And, participants were asked to estimate how many ideas a group of four other individuals at their university could generate. Consistent with previous findings which illustrate a bias in favor of groups, Paulus et al. found that people expected to personally generate more ideas (and better quality ideas) in a group (M = 14.32) compared to when working alone (M = 11.56). Interestingly, results also showed that participants estimated that they would generate more ideas alone than the number of ideas a group of four would generate divided by four (M = 6.74). In addition, in attempts to document a general bias in favor of groups, Paulus et al. also categorized participants into those that favored group brainstorming (less than the midpoint) and those that favored solitary brainstorming (greater than the midpoint). Results showed that 65% of the participants thought they would generate more ideas in a group, while in comparison, only 30% thought they would generate more ideas alone. Fifty-one percent of the participants surveyed thought they would generate better-quality ideas in a group setting, while only 24% thought they would do better alone. 15 In a follow up study (Experiment 3), Paulus et al. (1993) actually had participants work at a brainstorming task. To examine the role of social factors in performance perception, the experimenters manipulated the degree of information provided to the participant concerning one’s partner. After an initial session of brainstorming alone, half of the participants were paired with a partner and asked to continue brainstorming, but this time with the opportunity of sharing ideas with one another via using a common receptacle in which the written ideas were deposited. Participants in this “share” condition used different color pens so that the source of each idea could be identifiable. Using this common receptacle not only provided participants with an opportunity to look over the ideas of one’s partner, but also provided the opportunity to monitor the pace at which one’s partner was working. The other half of the participants were also paired with a partner, however, they were instructed to continue brainstorming without sharing ideas. In other words, they were in the presence of a partner, but after they wrote their ideas down they deposited them in an individual bin, taking away the opportunity to share ideas with one another". In addition, after their initial individual brainstorming session, half of all of the participants were told the number of ideas that they themselves generated and the number of ideas that were generated by their fellow group member during the initial independent brainstorming session. The experimenter presented this information aloud to the participants at the end of the break period which followed the initial independent brainstorming session. The other half of the participants were given no such information. ‘ From the article, is unclear as to whether participants in this condition could see their partner working, and hence, gauge how quickly he/she was depositing ideas in the box 16 This performance feedback manipulation was orthogonal to the idea sharing manipulation previously described. So Paulus et al. suggest that because social comparison information leads to enhanced perceptions of performance, providing performance feedback should lead to positive perceptions. The sharing of ideas should have a similar positive effect on one’s self-evaluation. Paulus et al. do not go on to explain how social comparison processes would lead one to have rnisperceptions concerning not only their personal performance, but their group’s performance as well. This is further support for the argument that the illusion of group productivity should be conceived of in terms of “inflated” perceptions of personal performance rather than “inflated” perceptions on a more global group level (e.g., a general belief in the superiority of groups). Results from Paulus et al. (1993) show that neither the sharing nor information manipulations affected the overall performance of the brainstorming pairs. This finding is not surprising considering that the performance of brainstorming pairs is generally no different from that of nominal groups of two (e. g., Diehl & Stroebe, 1987; Mullen, Johnson, & Salas, 1991). If the opportunity for social comparison increases evaluation apprehension for group members and therefore motivates members to perform well, then one would expect increased performance under conditions of social feedback and sharing. Because these manipulations did not affect overall performance, it is difficult to argue that the illusion effect is driven by a social comparison process that increases motivation and effort. However, when participants were provided with feedback, and therefore knew how well they and their partner performed during Session 1, they gave significantly higher ratings on the number of ideas they personally generated during Session 2 l7 compared to those who received no performance feedback information (M feedback = 5.45; M nofeedback = 4.5). Likewise those who were in the “share” condition, who were sharing a common receptacle and were therefore provided with knowledge of the others’ productivity, reported significantly higher ratings on the number of ideas they personally generated during Session 2 relative to those who used individual receptacles and had no opportunity to compare (M share = 5.5; M no share = 4.6). And, as Paulus et al. would predict, participants who were given both feedback information and who were allowed to share ideas, reported the highest ratings on the “number of ideas” measure relative to the other three conditions (M feeback and share = 5.8; M no feedback_and no share = 4.1; M no feedback and share = 5.2; and M feedback and no share = 5.1). Similarly, participants who were neither given feedback nor the opportunity to share ideas reported the lowest ratings for number of ideas generated. These results support the notion that that being able to compare one’s performance to others is a contributing factor to the illusion of group productivity, however it is still unclear as to why or how. “Gestalt ” of the group product. Paulus, Brown, & Ortega (1999) suggest that one basis for the illusion of group productivity may deal with the “gestalt” of the group product. When people work together in groups, there is a general tendency to focus on the group rather than on individual products. The group product may appear to be quite significant due to its absolute size, and will inevitably be larger than that of individual performers. Paulus et al. (1999) argue that: ...although group members should cognitively divide the performance by the number of group members to determine the efficacy of group performance, they may not 18 appropriately perform this operation. As a result, the mere size of the group contribution may inflate perceptions of both the efficacy of the group’s overall performance and the individual’s judgement [sic] of their contribution. (pg. 162) This explanation is consistent with the previously reported finding from Study 1 of Paulus et al. (1993), where participants reported thinking they would be more productive working in a group (rather than individually), but also reported that they would come up with more ideas brainstorming alone compared to the number of ideas a group of four would generate divided by four. It is also consistent with work conducted by Josephs, Giesler, & Silvera (1994). In their study, Josephs et a1. had participants take part in a proofreading task. In one condition, the sheets of paper that the participants were proofreading were attached to empty cardboard boxes or journals. In another condition, nothing was attached to the sheets of paper. Throughout the task, participants were instructed to stack all of the sheets that they successfully completed proofreading. After the task was completed, participants made assessments of their performance. Those who were in the cardboard box condition (and who’s stacks subsequently appeared larger) rated their performance more favorably than those who had nothing attached to their sheets, even though they did less work. Importantly, when the products were not visible to the participants, no such effects occurred. Experiment 2 of Paulus et a1. (1993) may indirectly speak to this “gestalt” explanation. In this study, participants were asked to perform a brainstorming task either alone or in same-sex groups of four. Half of the ftf groups were instructed to brainstorm using one common microphone and a tape recorder, while participants in the other groups (the other half of the ftf group condition as well as the individual condition) were 19 provided with their own individual microphones and recorders. The authors hypothesized that: 1) participants working in groups would rate their performance more favorably than those working in isolation, and 2) that participants working with a common microphone would perceive their performance more favorably than those in the ftf group/individual microphone condition. The logic outlined by Paulus et a1. follows that if working on a common group product affects perceptions of performance by leading members to focus on the group product rather than their individual contributions, than participants in the common microphone condition should view their performance more favorably. The authors note that even though those in the group/individual microphone condition are also working on a common group product, they should be more attuned to their own personal performance than those in the common microphone condition. Because of an increased sense of accountability by those in the individual microphone condition, the authors also predicted that participants in the group/individual microphone condition would outperform those in the common microphone condition. In their study, participants in the ftf group conditions were seated around a rectangular table, were given the traditional brainstorming instructions, and then brainstormed in their groups of four for 25 minutes. For the common microphone condition, a microphone was placed in the middle of the table. For the individual microphone condition, a small microphone was attached to each participant. Those in the alone condition, also had a small microphone attached to them, however, they brainstormed in isolation. 20 After the brainstorming session was completed, participants were asked to answer several questionnaires. Many questions focused on evaluations of performance, with key phrases underlined to minimize potential confusion about the rating of individual or group performance. All participants were asked, “How would you rate the number of ideas you as an individual were able to generate? I was able to generate: (they responded on a 9-point scale ranging from very many ideas to very few ideas)” A similar question was also asked regarding the quality of ideas mentioned. In addition, ftf group participants were asked, “How would you rate the number of ideas your ggoup was able to generate? Our group was able to generate: (the same 9- point scale ranging from very many ideas to very few ideas was used)” Again, a similar question was asked to ftf group participants regarding the quality of ideas mentioned. th group members were also asked, “If you had been asked to brainstorm plppp on this problem, do you think you would have generated more or less ideas than you did M individual in the group? I would have generated: (they responded using a 9-point scale ranging from many more ideas to many less ideas)” Again, a similar question regarding the quality of ideas was asked. Participants in the alone condition were asked: “If you had been asked to brainstorm in a group with three other people on this problem, do you think you M individual would have generated more or less ideas? I would have generated: (they responded using a 9-point scale ranging from many more ideas to many less ideas)” The same question was asked to alone participants, however regarding the estimated quality of their performance had they brainstormed in a group. 21 All participants were asked to indicate, “How many ideas do you think you a_sp_p individual generated (open-ended)?” th group participants were also asked to answer, “How many ideas do you think the ggoup (including yourself) generated (open-ended)?” and “What percentage of the performance of this group was due to your efforts (with a scale ranging from O to 100 in lO-point intervals)?” At the end of the experiment, all of the tapes were transcribed and the number of ideas from each brainstorming session was recorded. In the usual fashion, overlapping ideas were counted only once when calculating the total number of ideas per session. Results show that on average, nominal groups (M = 68.7) generated significantly more ideas than the common microphone groups (M = 28.8). And, that performance did not differ between individual microphone groups (M = 51.4) and common microphone groups, or individual microphone groups and nominal groups. Importantly, although the nominal groups were most productive (significant only when compared to the common microphone group), participants in this condition gave the lowest ratings on the “number of ideas produced” measure. When asked to answer “How would you rate the number of ideas you as an individual were able to generate? I was able to generate: (they responded on a 9-point scale ranging from very many ideas to very few ideas)” participants in the alone condition (M = 3.7) gave ratings significantly lower than either of the two ftf groups, who did not statistically differ from one another (M individual microphone = 5.2; M common microphone = 4.5). A similar pattern of findings appeared for the quality of ideas measure, however, the effect of condition was only marginally significant (M alone 2 4.4; M individual microphone = 5.3; M common microphone = 5.1). Interestingly, the pattern of findings for the estimated number of 22 ideas generated by individuals did not match either the actual or the rated performance measures. Individual microphone participants reported generating the most ideas (M = 10.4), followed by alone participants (M = 7.1), with common microphone participants reporting the worst performance (M = 4.8). Similar to Stroebe et al. (1992), Paulus et al. found that ftf group participants significantly underestimated their group’s performance (M individual microphone = 39.5; M common microphone = 16.2) when these data were compared with the group’s actual performance. However unlike Stroebe et al., participants from Paulus et al. overestimated their own contribution to their group. Results show that when ftf group participants were asked to estimate what percentage of the performance was due to their own individual effort, participants took credit for 36% of the total product, which is significantly greater than one-fourth of the group performance. Not surprisingly, male participants took more credit for the group product relative to female participants (39.2% vs. 32.9%). Interestingly, no significant differences were found between conditions when participants were asked to consider whether they would have performed better alone or in a group. Recall, ftf group members were asked, “If you had been asked to brainstorm plppp on this problem, do you think you would have generated more or less ideas than you did as an individual in the group? I would have generated: (they responded using a 9-point scale ranging from many more ideas to many less ideas)” And, participants in the alone condition were asked, “If you had been asked to brainstorm in a group with three other people on this problem, do you think you as an individgaj would have generated more or less ideas? I would have generated: (they responded using a 9-point 23 scale ranging from many more ideas to many less ideas)” Answers to these questions were coded so that higher scores would reflect a preference towards working in groups. The mean for the alone condition was 5.9, while the means for the ftf group conditions were 4.8 and 5.2 (for the individual microphone condition and the common microphone condition respectively). Although there was no effect for condition on this “number of ideas I would have produced” measure, a comparison of the mean ratings among the conditions revealed an effect for quality of ideas. Fisher’s LSD post-hoe comparisons indicate that alone participants (M = 5.6) were more positive about generating hi gh- quality ideas in groups compared to participants in the group/individual microphone condition (M = 4.8). Participants in the group/common microphone condition (M = 5.0) did not statistically differ from the other two conditions. To determine the proportion of participants who favored group brainstorming after having direct brainstorming experience, participants who reported scores above and below the midpoint were compared for each of the three conditions. In the alone condition, 66.7% of the participants felt they would have been more productive had they worked in a group, while 23.1% reported feeling they would be more productive brainstorming individually. In the individual microphone condition, 32.5% felt they would have been more productive group brainstorming, while 40% favored individual brainstorming. And in the common microphone condition, 40% believed they would be more productive group brainstorming while 32.5% believed they would be more productive brainstorming individually. This pattern of results is striking because it implies that a_f_tpr_ direct ftf group brainstorming experience, some participants reduce their general bias in favor of the 24 superiority of groups. Again, it may be likely that during their task experience, processes such as evaluation apprehension or production-blocking become salient to ftf members; processes most people would normally be unaware of prior to having a group brainstorming experience. This is perhaps why participants in the alone condition still overwhelmingly expected to generate more ideas under group conditions. This finding contradicts the previously outlined statement from Nijstad (2000) in which he proposed that, “most participants working in the laboratory, as well as in organizations, believe that group brainstorming is more effective than individual brainstorming (e.g., Stroebe et al., 1992; Paulus et al., 1993; Paulus, Larey, & Ortega, 1995). This is true even after repeated experiences with group or individual brainstorming. (pg. 5)” Of course, there is some evidence consistent with Nijstad’s claim, such as findings from Stroebe et al. (1992) where participants continued to exhibit a bias in favor of brainstorming groups, even after direct ftf brainstorming experience. When conducting a log-linear analysis on group preference in terms of the expected quality of ideas produced, Paulus et al. found a significant interaction between group preference and condition. Results show that only in the alone condition was the percentage of individuals favoring group brainstorming greater than that favoring brainstorming alone. In the alone condition, 53.9% of the participants believed they would generate higher quality ideas if working in a group, whereas only 18.0% believed they would come up with higher quality ideas working alone. Fifteen percent of the group/individual microphone participants felt they would generate higher quality ideas in a group setting, whereas 32.5% felt they would generate higher quality ideas brainstorming alone. In the common microphone condition, 25% of the participants felt 25 they would generate higher quality ideas in a group, while 37.5% felt they would generate higher quality ideas alone. Overall, Paulus et al. conclude that their results are generally consistent with previous findings. In their study, nominal participants outperformed common microphone participants, and the performance of individual microphone participants was intermediate. As they predicted, they also found that individuals in ftf groups rated their performance more favorably than isolated performers. However, contrary to their prediction, they did not find that common microphone participants rated their performance more favorably than individual microphone participants. In addition, the proportion of participants favoring group brainstorming was greater than those favoring individual brainstorming only for the nominal group. Again, this finding is interesting, considering the claims of N ijstad concerning the negligible effect of direct experience on the group bias, and considering the opposing finding from Stroebe et al. (1992). It is also curious considering that in the survey study by Paulus et a1. (1993; Study 1), when asked prior to any direct brainstorming experience, the majority of participants felt they would be more productive if working in a ftf, and would come up with higher quality ideas if working in a ftf group. Therefore, there appears to be some evidence that suggests that after direct experience in ftf groups, participants become leg confident about the overall efficacy of group brainstorming, but not in their individual performance ability. The findings of this study indirectly refute the “gestalt” explanation proposed by Paulus et al. If working in a group leads one to focus on the group product rather than one’s own individual contribution, and if the size of the group product inflates the perception of both the efficacy of the group’s overall performance and the individual’s 26 judgment of their contribution, then one should see a greater degree of the illusion in the common microphone condition compared to the individual microphone condition. In their study, Paulus et al. fail to show this. Admittedly, because having a common mike does not produce a larger visible or detectable product, this is a rather weak test of the gestalt explanation. However, if the gestalt explanation requires seeing a visible or detectable product, than this explanation could not explain why the illusion occurs when ideas are recorded via tape recorder. Schemas about groups. In Paulus et al. (1999), the authors suggest another interesting basis for the illusion of group productivity. Presumably individuals have developed various schemas or stereotypes about the effectiveness of groups that are based on their experience and cultural mores. Importantly, these expectations concerning group productivity and teamwork are generally positive. The authors therefore suggest the possibility that such pro-group schemas may influence judgment about group or team performance. This hypothesis is consistent with results from Study 1 of Paulus et al. (1993) which found that most people believed they would be personally more productive in a group setting compared to an individual setting. This explanation can also logically explain why members of nominal groups consistently feel that they would be more productive in a group setting. But Paulus et al. do not explicitly outline how this schema or bias in favor of groups can precisely explain the presence of the illusion effect as defined in this paper. Recall, the illusion has previously been conceptualized as a general belief in the superiority of groups, as well as in terms of an “unwarranted” sense of satisfaction in group member’s perceptions of their individual performance. The schema 27 explanation can help to explain the illusion when referring to it as a general bias in favor of groups, however, it is somewhat unclear how schematic beliefs would lead to inflations in satisfaction concerning one’s ppfiprLal performance? Admittedly, it may be possible that participants with activated pro-group schemas also have expectations they will perform well when working in groups. Therefore, their favorable expectations may be driving their ratings of satisfaction. However if this line of reasoning were true, then it is unclear how the results of Study 2 from Paulus et al. (1993) could be explained. In this study, a large proportion of the ftf participants no longer expressed a pro-group bias after having direct ftf brainstorming experience. Yet, they still reported feeling more satisfied with their performance relative to nominal group members. Search for Ideas in Associative Memory (SIAM). A more recent explanation offered by Nijstad (2000) suggests that the illusion of group productivity stems more from aspects dealing with cognitive activity (given that the act of generating ideas is a cognitive activity, which can be described as a repeated search for ideas) rather than from either a misappropriation or social comparison processs. Ni jstad correctly argues that although the misappropriation and social comparison explanations are plausible, they both fail to address several questions. For example, neither explanation can convincingly explain the consistent finding that people feel facilitated in the presence of group members (e.g., Stroebe et al., 1992; Paulus et al., 1993; Larey & Paulus, 1995). Presumably, Ni jstad is referring to the commonly held belief that hearing ideas from others stimulates creativity. According to Nijstad, it is unclear as to how memory confusion or social comparison would result in this perception. He argues that both 5 It should be noted that his explanation is rather specific to brainstorming or comparable creativity tasks. and may not explain similar misperceptions for other tasks. 28 explanations would suggest that the perception of facilitation is a consequence (rather than a cause) of satisfaction, and that people erroneously attribute their high level of satisfaction to this perceived facilitation. Ironically, Nijstad himself also neglects to explicitly explain how his explanation (which will be outlined shortly) addresses this finding as well. He also points out that both explanations (misattribution and social comparison) assume that the belief in the relative superiority of group brainstorming over nominal brainstorming is a consequence of the repeated experience of satisfaction with one’s performance after a group brainstorming session. He then raises the important and insightful question of, “why should the experience of a group member that he or she has done relatively well (as, for example, compared to the other group members) be attributed to group interaction, and not to personal abilities?” In other words, although social comparison and the act of misappropriating ideas could theoretically explain why one would feel more satisfied with himself/herself, neither explanation explicitly outlines how such processes would then transfer into a pro-group bias. Instead, Nijstad suggests that it is because communication in brainstorming groups is perceived to be stimulating and facilitating, that the impression of group brainstorming as being highly effective results. Nijstad also claims that the explanations offered by Stroebe et al. (1992) and Paulus et al. (1993) do not address the particular finding that has been consistently demonstrated in previous brainstorming studies (e.g., Diehl & Stroebe, 1991; Stroebe et al., 1992; Paulus et al., 1995) in which group members consistently report enjoying their task experience more than those who worked alone. How would the misattribution or 29 social comparison explanation explain why people enjoy the task more when they are in groups? Nijstad argues, if one perceives communication in groups to be stimulating, then this could explain why group members enjoy their experience more than individuals who do not have the opportunity to communicate. This may be plausible, considering that Diehl & Stroebe (1991) found their participants enjoyed the brainstorming task more when they could overhear each other compared to when no communication between members was possible. Nijstad concludes that, “while social comparisons and memory confusion may play a role in the subjective experience of brainstormers, these explanations must be supplemented by other explanations, taking into account subjectively perceived facilitation as a consequence of communication. (pg. 122)” Nijstad then proposes a cognitive approach to the effects of communication in brainstorming groups. This explanation is one that stresses cognitive activity, more specifically the process of searching for ideas in associative memory (SIAM). According to his SIAM (Search for Ideas in Associative Memory) model, the search for ideas involves two stages. In the first stage, problem relevant knowledge is activated in long- term memory. This information is activated in the form of a fuzzy set of knowledge, which is called an image. During the second stage, the knowledge contained in the image is transformed or combined into (new) solutions for the respective problem. An important and highly plausible assumption of this model is that this search for ideas will not always be successful (i.e., when a new idea cannot be found, or has already been mentioned). Such unsuccessful searches are termed “failures,” while successful searches are labeled as “hits.” As time goes on during a brainstorming task, after more and more ideas have been mentioned, the more likely it is that an old idea will be 30 generated again (a failure). Presumably, failures have consequences for the subjective experience of the individual who is attempting to generate ideas. In particular, the ratio6 between the number of hits and the number of failures is likely to be important. When the number of failures is high relative to the number of hits, then the brainstorming individual is apt to conclude that he or she is not performing well. This should lead to lower ratings of satisfaction. In addition, if the number of failures is high, the session is likely to be less stimulating, and ratings of enjoyment are likely to be low as well. Therefore, in general, more failures should lead to lower satisfaction and enjoyment. How does this relate to group brainstorming and the illusion of group productivity? N ijstad proposes that ftf or other collaborative (e. g., computerized brainstomring) group members will inherently experience fewer failures than nominal group members. First of all, people who brainstorm individually will start more searches than people who brainstorm in groups. This will eventually lead to more failures for nominal brainstormers. In addition, when people brainstorm in groups (especially if they don’t have anything to say), they have the luxury of sitting and listening to the other group members generate ideas whereas individuals are forced to fill the entire session themselves. Since group members have the opportunity to just sit and listen to those around them, they reduce the number of cognitive searches they perform. Because group members are most likely to sit and listen when they themselves cannot generate a new idea, it is the number of potential failures they experience in particular that should be reduced. Individuals who cannot come up with new ideas, on the other hand, are likely to continue their attempts to generate ideas because to isolated individuals, “long silences 6 Nijstad does not specify whether he is referring to the current, or final ratio 31 can be both boring and painful.” Because individuals will not always be able to generate hits during their periods of silence and are more likely to generate failures, unlike interacting ftf group members, any “down” time is likely to be attributed to personal failures. Consequently, the process of idea generation will not always seem easy for individuals, while it should seem much easier for group members. This in turn, will lead group members to evaluate the process more favorably, and will lead to higher ratings in satisfaction and enjoyment. In his study of brainstorming groups, Nijstad (2000) found some evidence to support his conjectures. Under the traditional brainstorming guidelines, participants brainstormed on a given topic (“how the number of tourists coming to Utrecht can be increased”) as individuals, or either in groups of two, four, or six people. All groups were homogeneous with regard to gender. After the brainstorming instructions were read to participants, they were informed that the study would consist of two different tasks and that the experiment would take a total of two hours. Unlike the previous brainstorming studies that implemented a set period of time for the task, participants in this study were informed that they had to decide themselves when to end the first task. Participants were instructed to end the session only after they felt it was a good time to stop. They were led to believe that everyone would eventually spend two hours in the laboratory because the duration of the second task would be dependent on the time remaining after the first task. In actuality this was not true, however, the instructions were presented to participants in such a manner to reduce any effects of time constraints. However, it may be possible that in designing the study as he did, Ni jstad unintentionally created a possible confound. For example, if nominal group participants expected that the second task would be more 32 enjoyable than brainstorming alone, they may have quit the first task earlier, or lowered their ratings of enjoyment of the nominal task in contrast to that of the anticipated second task. After all of the instructions were read, and after any questions were answered, participants were divided into their groups and were then placed in separate rooms. Every room was equipped with a table that contained a microphone (which was connected to a recorder located in the experimenter’s room) that was placed in the middle of the table. In addition, every room contained a small device (with a light and a button) that was connected to the experimenter’s room. Participants were instructed to begin brainstorming when the light turned on, and were instructed to push the button when they felt it was a good time to stop. After the task was completed, participants made assessments of their level of enjoyment (using a 9-point scale ranging from “very much” — “not at all”), satisfaction with their own performance (using a 9-point scale ranging from “not satisfied” - “very satisfied”), and other various measures that were intended to represent the degree of failures that occurred during the cognitive search process. For example, participants were asked (using a 9—point scale) to state how difficult it was to generate ideas (“very difficult”-“not at all”), how often it had happened that they were unable to come up with 9’ ‘6 a new idea (“very often never”), and how often they had internally generated ideas which had already been mentioned (“very often”-“never”). These last three questions were combined to form a composite measure of the relative level of failures in one’s history of cognitive searches. Note, that the wording of the last question may be 33 perceived as inapplicable to nominal group participants. This issue will be addressed in more detail later in this paper. As expected, group members enjoyed the brainstorming session significantly more than individuals (M individual = 6.50; M dyad = 7.33; M 4 person = 7.36; M 6 person = 7.28). A post-hoc test illustrated that individuals differed significantly from group members while the three group conditions did not differ from one another. Group members were also significantly more satisfied with their performance relative to individuals (M individual = 5.15; M dyad = 7.17; M 4 person = 6.47; M 6 person = 6.50). Again, a post-hoe analysis showed that individuals differed from group members while the three group conditions did not differ from one another. In support of the failures explanation, results also indicated that individuals experienced significantly more failures than group members irrespective of group size. On the failures index (higher scores indicate fewer failures), individuals scored 10.08 on average, while dyads scored 12.94, 4 person groups scored 14.57, and 6 person groups scored 13.78. A post-hoe test shows that individuals differed from group members, while the three group conditions did not differ from one another. According to Ni jstad’s predictions, the failures scale should mediate the relation between group size and satisfaction and enjoyment. The difference between group members and individuals in satisfaction and enjoyment should disappear (or at least be reduced) when the analysis controls for failures. In accordance to Baron and Kenny (1986), a series of regression analyses were performed. To suggest mediation, first, it must be demonstrated that type of setting (e. g., group or individual) affects satisfaction and enjoyment. Then, it has to be shown that type of setting affects failures (the 34 mediating variable). Finally, the direct effect of type of setting on satisfaction and enjoyment should disappear when the analysis corrects for failures. Nijstad proceeded to effect-code type of setting and entered this variable in a regression of enjoyment and satisfaction. He found that the effect of type of setting on enjoyment was significant (Beta = .247), as was the effect of type of setting on satisfaction (Beta = 0.308). Type of setting was also shown to significantly affect the mediator (failures) (Beta = 0.371). When type of setting and failures were simultaneously entered in a regression of enjoyment, the effect of type of setting was no longer significant (Beta = 0.146), while failures had a significant effect (Beta = 0.267). Similarly, when type of setting and failures were entered in a regression of satisfaction, the effect of type of setting was shown to be only marginally significant (Beta = 0.171), while failures had a significant effect (Beta = 0.366). Therefore, Nijstad concludes that his analyses suggest that the failures-scale mediated the effect of type of setting (group vs. individual) on enjoyment and satisfaction. In a test of alternative explanations, task enjoyment was tested as a mediator of the effect of type of setting on failures and on satisfaction. The effect of enjoyment on failures was significant (Beta = 0.244), however, enjoyment could not account for the effect of type of setting on failures because this effect remained significant when enjoyment was controlled for (Beta 2 0.312). In addition, enjoyment could not explain the effect of type of setting on satisfaction. Despite the fact that the effect of enjoyment on satisfaction was significant (Beta = 0.200), the effect of setting remained significant even when enjoyment was controlled for7 (Beta = 0.426). Therefore, Nijstad argues that 7 It is unclear as to whether these effects were less strong, because no Sobel test was reported. 35 how much the participants enjoy the task cannot explain the effects of type of setting on failures or satisfaction. Importantly for the purposes of the current study, it is not clear whether Nijstad’s enjoyment measure is a measure of mood per se, or a measure of task evaluation. To test the alternative explanation proposed by Paulus et al. (1993), Nijstad also conducted the following analysis. Theoretically, it is possible that group interaction led to increased feelings of satisfaction (e.g., because group members could compare their performance and find that they performed quite well). This, in retrospect, could have caused a positive evaluation of the brainstorming session (e. g., high levels of enjoyment and few failures). Therefore, Nijstad tested this assumption by using feelings of satisfaction as a mediator between type of setting and both failures and enjoyment. His results show that when failures were regressed on type of setting and satisfaction, the result was a significant effect of satisfaction on failures (Beta 2 0.348). However, the effect of type of setting on failures remained significant (Beta = 0.265). Satisfaction, however, could account for the effect of type of setting on enjoyment, because the effect of satisfaction on enjoyment was significant (Beta = 0.442), and the effect of type of setting on enjoyment ceased to be significant when setting and satisfaction were simultaneously entered in a regression on enjoyment (Beta = 0.111). Given these trends, Nijstad argues that the most likely possibility is that failures mediate the relationship between type of setting and satisfaction, and type of setting and enjoyment. Unfortunately though, Nijstad did not conduct any analyses that could rule out mood as a proximal mediator of the illusion of group productivity. Although he did 36 test whether his failures-scale mediated the relation between group size and satisfaction, he did not test whether mood mediated the relation between failure and satisfaction. Mood as an explanation for the illusion of group productivity. Although the various theories that have been proposed to explain the illusion of group productivity are generally plausible, only two (the social comparison explanation and SIAM) seem to have any convincing empirical support. In addition, all of the outlined theories can explain why the illusion of group productivity would exist in idea generation scenarios, however, only the social comparison explanation offered by Paulus et al. (1993) can theoretically address why the illusion effect would occur in a group context other than that of an idea generation paradigm. Unfortunately though, the way in which Paulus et a1. measured the illusion was in comparisons between conditions on the number of ideas generated, which is also specific to brainstorming tasks. Consider the fact that a study by Hinsz and Nickell (in preparation) found that group members were more satisfied with their performance at a card-sorting task compared to individuals who worked at the task alone, despite no empirical difference in performance between the two conditions. Although not identical to the illusion but along a similar vein, in a study by Park, Levine, Harms, & Ferrara (2002), interacting groups of three to six members were compared in deception detection accuracy to individuals working on the same task. There was no difference in deception detection ability when comparing group judgments to judgments of individuals working at the task alone. However, interacting group members were significantly more confident in their decisions compared to individuals. So given that the illusion of group productivity has in a sense been demonstrated even in tasks that do not involve idea generation (such as the card- 37 sorting task), then it must be presumed that there are still other more parsimonious explanations besides the misappropriation and SIAM explanation for the effect. It may be possible that social comparison processes can explain the illusion of group productivity; however, it is also possible or even likely that other mechanisms may still be involved. As Paulus et al. (1999) have alluded, one factor that may be facilitating the illusion of group productivity is mood. It has been consistently shown across all of the previously outlined studies that group members generally enjoy their experience and tend to be more satisfied with their performance when working in groups. In addition, most of the participants in these studies stated a preference for working in groups rather than alone. So if this is the case, then it is quite likely that those working in groups are generally in better moods than isolated individuals. Now although Ni jstad’s (2000) study appeared to rule out the role of task enjoyment as a sole mediator for the illusion, his measures did not capture mood per se. Although it is likely that the more one enjoys a task the more positive he or she will feel, but this is not necessarily the case. In addition, because Ni jstad measured task enjoyment and not mood, his analyses could not rule out the possibility that mood was the proximal mediator for the illusion effect. Therefore, there does not seem to be enough evidence to conclusively rule out the role of mood as an underlying factor behind the illusion of group productivity. In fact, results from other studies indirectly bolster the likelihood that mood does play a role in the illusion effect. For example, in a study by Forgas (1990), participants were induced with either a positive, negative, or neutral mood, and subsequently worked at a task in either an individual or group context. Participants were 38 asked to rate nine person categories along various dimensions. Forgas found that individual judgments were biased in a mood-consistent manner relative to the control condition. Interestingly though, the effect of being in a group was to accentuate the bias of positive moods (such that positive participants made even more positive judgments), but to attenuate the bias of negative moods (such that negative participants made less extreme negative judgments). Similarly, previous research on mood in groups (Hinsz, Park, & Sjomeling, 2003) demonstrated that positive moods were sustained longer after induction when participants subsequently entered group settings compared to individual settings, and negative moods were diminished more quickly after participants entered group settings compared to individual settings. These effects are consistent with the notion that non-threatening groups serve as a positive mood induction, and lends credence to the presumption that positive perceptions will be intensified in group settings. Furthermore, if performing in groups is generally preferred and if positive mood is generally induced in such contexts, then it is also likely that many of the previous brainstorming studies (e. g., Stroebe et al., 1992; Paulus etal., 1993; and Nijstad, 2000) inadvertently induced an increase in positive mood in their ftf group participants (or conversely a negative mood in their nominal participants). Because in these studies participants were likely to deduce that there were two group conditions (nominal or ftf), a process analogous to anticipatory interaction effects (Hinsz, 1992) may have affected mood. For example, if participants in a study were aware that they could be assigned to either a nominal or group condition, such as in Stroebe et al. (1992) where participants were given directions for the task and were then separated into rooms where they worked alone or in a group, mood for participants could potentially be altered. More specifically, 39 if participants enjoy group interactions and then get assigned to a nominal condition, they may feel disappointed. Or, if they get assigned to a ftf group condition, they may feel excited or relieved. Therefore, across studies it is plausible that mood differed between the individual and group conditions. In addition, although the previous explanations for the illusion effect have demonstrated some support for their claims (specifically the social comparison and SIAM explanations), none of the previously offered explanations can conclusively rule out the role of mood on participant perceptions. So, how might mood contribute to the illusion effect? According to Clore, Schwarz, and Conway (1994), “one of the most reliable findings regarding the interplay of affect and cognition concerns the impact of mood on evaluative judgments.” Targets have consistently been found to be evaluated more favorably when the judge is in a positive, rather than negative mood (Forgas, 1992; Morris, 1989; Schwarz, 1990; see Schwarz & Clore, 1988, for reviews). For example, participants rated consumer goods (Isen, Shalker, Clark, & Karp, 1978), other people (Forgas & Bower, 1987), selected activities (Carson & Adams, 1980), or past life events (Clark & Teasdale, 1982) more favorably when in a more positive mood. Therefore, it does not seem unreasonable to assume that mood will not only affect judgments of a target, but also judgments of personal performance as well. Research by Forgas & Bower (1987), Clark & Isen (1982), and Schwarz & Clore (1996) all suggest that people are more likely to make mood-consistent judgments rather than inconsistent judgments. Why? One explanation posits that people are using mood as information. For example, if I am in a good mood after working in a group (presumably because being a part of a group enhances positive mood), that positive mood 40 will lead me to infer that the experience must have been a positive one. If the experience was not positive, then it does not make intuitive sense why I would be feeling so good. In other words, it is conceivable that individuals undergo a misattribution process in which they make causal associations between their current mood state and their current experience, overlooking the fact that mood and the assessment of their experience may be unrelated. Mood-consistent judgments can also be explained by findings that show people are more able to recall and recognize mood-consistent details better than inconsistent details (Forgas & Bower, 1987). So, mood may affect judgments by increasing the likelihood that one will think about or recall information that is mood-consistent rather than inconsistent. In the brainstorming context then, it is plausible the illusion occurs because those working in groups are in a more positive mood, and are therefore more likely to think about and recall positive instances in which they and/or others performed well rather than those negative instances in which they could not generate ideas. If mood has differential effects on what people recall, then one could predict that mood would also affect people’s retrospective judgments about their personal performance. Another way in which positive mood may lead to the illusion of group productivity is through the increased likelihood of heuristic processing. Bodenhausen, Kramer, and Stisser (1994) found that when participants were induced with a positive mood, they were more likely to exhibit stereotypic judgments. In study 1, Bodenhausen et al. had participants act as student members of a peer disciplinary review panel. After reviewing a case, participants were then asked to report the likelihood of the accused student’s guilt. In this study, half of the participants were given a case in which the 41 accused student was a member of a group stereotypically associated with the alleged offense. Results of their study show that when given this information, participants produced significantly more stereotypic judgments (i.e., were more likely to assume guilt) when they were induced with a happy mood relative to a neutral mood. Similarly, a study by Bless, Clore, Schwarz, Golisano, Rabe, and Wolk (1996) found that participants in a positive mood were more likely to rely on scripts or heuristics when making recall judgments. In their study, participants were presented with a tape recorded story entitled, “Going out for dinner.” The story included information that was typical, atypical, or irrelevant with respect to participants’ restaurant script. After listening to the story, participants were then asked to judge whether an item had previously been presented to them in the story or not. Results from their study show that participants who were in a more positive mood were more likely to recall a “typical” item as having been previously presented, even though it was not. This finding supports the assumption that happy people are more likely to rely on general knowledge structures than sad people. In addition, previous research demonstrates that people do have scripts concerning groups (e.g., Paulus et al., 1993; Hertel & Kerr, 2001). For example, Hertel and Kerr were able to successfully prime participants with social scripts revolving around “loyalty” to one’s group. So if people have a general belief or script that groups are more effective or productive than individuals, as Paulus et al. (1993) presume and have shown, then positive mood should lead to an increased reliance on those expectations when making judgments about performance. Because participants are in a performance setting, those scripts concerning group performance should be most accessible. 42 Because there are several theoretical reasons for why mood might affect performance judgments or perceptions, it is important to better understand the possible contributing role of mood to the illusion of group productivity. Psychological mechanisms that give a central role to mood might also have greater generality because they can also be applied to group contexts other than idea generation tasks. To reiterate, the general line of reasoning that I am proposing is as follows. Because most people enjoy interactive group experiences more than isolated individual ones, they will be in a more positive mood when they are in a group setting compared to when they are alone. Mood in turn, will affect how evaluative judgments are made, such that perceptions will be mood congruent rather than incongruent. Therefore, when participants are asked to assess their performance, people in ftf groups will be more satisfied with their performance because their positive mood will influence their judgments. To empirically test this notion, the present study manipulated both working condition (nominal vs. face-to—face) and mood (neutral vs. negative). By creating negative and neutral mood conditions, the potential impact of mood on perceptions of performance could be examined directly. For the purposes of efficiency, a positive mood condition was not used in this study. It was expected that participants in the neutral conditions, particularly those in the ftf group condition, would have a more positive mood than those in the negative mood conditions. Therefore, the impact of positive mood could still be assessed without experimentally inducing positive mood. Given that most people enjoy group experiences, the ftf/neutral mood condition should essentially represent a positive mood condition. One advantage of this design is that by using a 43 neutral condition for comparison rather than an induced positive mood condition, several of the previous findings on the illusion of group productivity could be replicated, and the relative validity of alternative explanations further assessed. The only effect that would be expected if a positive mood condition were actually included would be an even stronger degree of the illusion of group productivity. Although this effect could serve as evidence to bolster my hypothesis, for the sake of efficiency, this positive mood condition was not used in the current study. So, the design of this study is a 2 (condition: nominal vs. face-to-face group) X 2 (mood: neutral vs. negative) between—subjects factorial. The hypotheses are as follows: 1) replicating the findings of Paulus et al. (1993), prior to any actual brainstorming experience in the study, the majority of participants will demonstrate a pro-group preference and report a belief that ftf brainstorming groups are more productive than nominal brainstorming groups. Similarly, most participants will report (prior to any direct experience) that they personally, would be more productive in ftf group settings compared to nominal group settings. 2) Nominal groups will outperform ftf groups at the brainstorming task; 3) despite this outcome, a main effect for mood and a main effect for group are expected. More specifically, ftf participants are expected to feel more satisfied with their performance, as are neutral mood participants. Admittedly, it is unclear how the mood manipulation will combine with the work condition in determining current mood state. Regardless, a mood explanation would predict that any mood effect, whether induced by work condition or other situational factors, would be paralled by a comparable illusion effect. For example, if ftf participants induced with a negative mood feel less negative than nominal participants induced with a negative mood, ratings of 44 satisfaction should reflect this difference in mood state if the mood explanation is correct. And finally, 4) after their brainstorming session, participants in the nominal group conditions will report that they would have personally performed better if they had worked in a ftf group rather than a nominal group. 45 Method Participants Participants were two hundred and thirty-one female undergraduate students who were all enrolled in introductory psychology courses at Michigan State University. All participants voluntarily signed up to take part in this study in exchange for course credit. Design The design of this study was a 2 (work group condition: nominal vs. ftf group) X 2 M: neutral vs. negative) between-subjects factorial. Participants were asked to brainstorm in either nominal or ftf work groups of three people, and were then asked to answer various questions concerning their brainstorming experience. After the brainstorming task was completed, participants were asked to participate in a second “unrelated” study. In this supposedly unrelated study, the mood induction took place. Participants were either induced with a neutral mood (in which they were asked to write about and reflect on a mundane or everyday event from their life), or they were induced with a rigative mood (in which they were asked to write about and reflect on a sad event from their life). Procedure Groups were randomly assigned to a condition prior to the arrival of the participants for a given session. However, if less than three people showed up for a session, the participants were automatically randomly assigned to one of the two nominal group conditions. In such cases, the nominal group was completed when another session with less than three people occurred. For example, if only two participants signed or showed up, they were assigned to a nominal group condition. If another session occurred 46 where only two participants signed up or showed up, one of the participants would be used to complete the previous nominal group of two, while the other participant would be used to complete the next nominal group of two. When less than three participants arrived, they were led to believe that other sessions were also being conducted elsewhere, and that they were still in a nominal group of three despite the fact less than three people were present during their session. Prior to the arrival of the participants, all materials were unobtrusively labeled on the bottom right corner of the back page with the participants’ subject number so that data could be tracked to the appropriate source. The index cards that would be used during the brainstorming task were assembled into stacks 1 1/2” high. This was done so that all participants would have the same size stack of index cards, thus, judgments of performance would not be differentially affected by the amount of index cards that remained after the task was completed. When participants were tested in ftf groups, they were given a single stack of index cards three times the height of the ones given to nominal group participants. All participants were first asked to meet at a predetermined location outside of the lab room where the brainstorming task was to take place. Once they all arrived, they were escorted into the lab room and were asked to take off their watches and to put them either in their pockets or on a table in the lab room. They were also asked to leave all their coats and belongings on the table in the lab room as well. Participants were then asked to have a seat at one of the three cubicles. The cubicles were formed by putting a removable divider (which was partitioned into three separate sections) that stood approximately 4’ high on top of a long table. Participants were all seated next to each 47 other facing in the same direction. When the divider was in place, participants could only see each other from a side view, and definitely could not see what was in front of the person next to them. These cubicles therefore prevented the participants from seeing how the others answered questions, and prevented participants from being able to monitor each other’s performance during the brainstorming task. Once participants were seated in their cubicle, they were given a consent form to read over and sign. Everyone who arrived agreed to take part in the study. After the consent forms were signed and collected, the experimenter announced to the participants that they would be working on a series of tasks. They were told that the tasks that they would be working on were actually from two unrelated studies. Participants were led to believe that because each of the studies did not require a lot of time, the experimenters combined the studies for the sake of efficiency. This deception was necessary so that participants would not psychologically connect the mood induction to the brainstorming task in any way. The experimenter told the participants that the first task that they would be working on was an idea generation task, in other words, a brainstorming task. Participants were explicitly told that the purpose of the brainstorming task was to come up with as many ideas as possible (see Appendix A for a verbatim copy of the experimental script and instructions). They were specifically told that gu_antity and not gr_rali_ty was desired in such type of tasks. The experimenter proceeded to explain that brainstorming could be conducted in either nominal or face-to-face group conditions. Participants were told that brainstorming in nominal groups occurred when individuals brainstormed on a given task in isolation. They were told that individuals in nominal 48 groups do not communicate with one another, instead they simply brainstorm on the topic alone. They were further told that these are called brainstorming “groups” because at the end of the session, all of the ideas that are generated by each of the individuals are all added together to form a group product. Participants were told that ideas that were mentioned multiple times, in other words, by more than one individual, would only be counted once when calculating the group product. The experimenter explicitly explained that the group product for a nominal group would be the total number of non-redundant ideas that were generated by all of the individuals who brainstormed in isolation. Furthermore, consistent with Osbom’s (1957) traditional brainstorming instructions, participants were told that in nominal groups, combining and improving on ideas that have already been generated was encouraged, and again, quantity and not quality was what was emphasized in brainstorming tasks. After the experimenter outlined nominal group brainstorming, she/he asked the participants if they had any questions about nominal group brainstorming or how the product of a nominal group would be assessed. If any questions were asked, the experimenter clarified the dynamics of nominal group brainstorming until all the participants sufficiently understood the nature of nominal group brainstorming. The experimenter then proceeded to explain how brainstorming was traditionally conducted in ftf groups. Participants were told that in ftf group brainstorming, members are allowed and encouraged to talk and interact with one another. The experimenter also explained that in ftf groups, one member is assigned the role of the recorder for the group. The role of the recorder is to record all of the ideas that are being generated by the group. The experimenter stressed to the participants that the recorder is also allowed to 49 generate and contribute ideas, with the only difference being that the recorder has the responsibility of writing down each of the ideas that are mentioned by the other members. Participants were told that the group product for ftf groups would be all of the ideas that are generated by the group at the end of the session. The experimenter explained that ideas that are mentioned more than once are only counted once. So, similar to nominal groups, the group product for a ftf group would be the total number of non-redundant ideas that are generated by everyone in the group. Following Osbom’s (1957) suggestions, participants were told that in ftf group brainstorming tasks, criticism of ideas is prohibited. In addition, similar to the directions for nominal groups, combining and improving on ideas that have already been generated is encouraged, and again, quantity rather than quality is what is emphasized. After the dynamics of ftf group brainstorming were explained, the experimenter asked the participants if they had any questions concerning ftf group brainstorming or how the product of a ftf group is assessed. Again, if any participants had questions, the experimenter addressed their questions until everyone sufficiently understood the nature of ftf group brainstorming. All participants, regardless of condition, were informed about both types of brainstorming contexts (nominal and ftf) so that pre-task questions (see Appendix B) that assessed expectations concerning nominal and ftf group brainstorming could be answered. After nominal and ftf group brainstorming was outlined by the experimenter and understood by the participants, the experimenter handed each of the participants their first questionnaire (see Appendix B for a full copy of the pre-task questionnaire). This questionnaire was answered individually by all of the participants, while they were seated 50 in their individual cubicles. The purpose of this questionnaire was to assess general beliefs and preferences about brainstorming groups pr_io_r to any direct brainstorming experience. To answer the questions, participants were asked to imagine that the president of their university wanted a council of students to generate ways to increase student satisfaction concerning campus life. They were told to imagine that they, along with a number of other students were asked to come up with as many ideas as possible to increase satisfaction among students. Given this, participants were instructed to indicate which type of group would be more likely to generate the most ideas. Participants answered this question using a 9-point Likert-scale, with the anchors being nominal group and face-to-face group. Using the same scale, participants were also asked to rate: 1) in which type of group they personally would generate more ideas, and 2) in which type of group they would prefer to work in. Several other questions were included in this measure to assess participants’ expectations about their work under various group conditions (nominal vs. ftf). After participants completed their first questionnaire, the experimenter collected their answers and informed them that they would be working on a brainstorming task. Participants in the nominal condition were told that the study was designed to examine how people brainstorm under nominal conditions. To avoid any potential negative affect stemming from disappointment, participants were not told that the study design also included a ftf group condition, but instead were led to believe that the study was about examining nominal groups. After participants learned they would be brainstorming in a nominal group, they were asked if they had any questions about nominal groups. If 51 participants had any questions, or needed clarification, the experimenter addressed their concerns at this time. After all questions were answered, the experimenter proceeded to hand out a pre- measured stack of index cards and a large envelope to each of the participants. Participants were told that they were to write down one idea per card, and were told that throughout the task they would be allowed to look over their own cards in order to combine ideas or to improve on ideas that had previously been written down. Participants were asked to express their ideas clearly, but were told not to worry about proper grammar or writing in complete sentences. When the time for the task was up, participants were told that they would be asked to place all of their completed index cards into the folder that was provided to them. After the instructions were understood, participants were given their brainstorming topic. They were told to think about all of the practical benefits and difficulties that would arise if everyone were to have an extra thumb on each hand. The experimenter again stressed that quantity and not quality would emphasized, and that they were free to combine and improve on ideas that had already been generated (Osborn, 1957). After these directions were given, the experimenter proceeded to turn on a video camera that was situated directly in front of the participants, and then left the room for a period of 8 minutes. Participants assigned to the ftf group conditions were given slightly different instructions. These participants were told that the study concerned how people brainstorm in ftf groups. They were asked if they had any questions regarding ftf groups. If participants had any questions, they were answered by the experimenter. After all 52 questions were addressed, the experimenter removed the barrier that separated the participants, and placed it aside. After the temporary barrier was removed, participants were able to see one another, although they still sat side by side. The experimenter then handed a pre-measured stack of index cards (three times as large as one of the stacks given to a nominal group participant) and a folder to the participant in the middle seat and told her that she had randomly been chosen to be the group recorder. She was told that it would be her responsibility to write down all of the ideas that were generated by her group. Again, it was stressed that she could also contribute ideas, but that it ultimately was her responsibility to record all of the ideas. Similar to the instructions given to nominal group members, these participants were told to write down one idea per card. They were also told that during the task, they could look over any of the cards to combine ideas or to improve on ideas. They were also told that they could communicate with one another during the task. th group participants were also asked to express their ideas as clearly as possible, however to not worry about proper grammar or writing in complete sentences. When time for the task was up, participants were told they would be asked to place all of the cards into the folder that they were given. Participants in the ftf group brainstorming conditions were given the same brainstorming topic as those in the nominal group conditions. They were also told to emphasize quantity and not quality, were told that criticism of ideas was prohibited, and were also told to feel free to combine and improve on ideas that had already been generated (Osborn, 1957). Once the topic and directions were provided to the group, the experimenter turned on the video camera and left the room for 8 minutes. 53 After the 8 minute period, regardless of condition the experimenter came into the lab room and told the participants to finish up the idea that they were working on and to then stop working at the task. The experimenter then stopped the video recording, and proceeded to tell the participants that they would be working on another short task. At this time, participants were led to believe that they would be taking part in another study that the experimenter agreed to run, and were then given another consent form to read over and sign. This second consent form was used to increase the likelihood that participants would not connect the brainstorming task to the following mood induction task. After the second consent form was signed and collected, regardless of condition, participants were moved to another lab and were each escorted to an individual room where they were isolated from the other participants. In each of the rooms, materials for the mood induction were already in place. Participants from the same session all received the same mood induction instructions. In other words, participants in the same ftf or nominal group all received either the neutral or negative mood induction. After the participants were all seated, they were asked to look over the sheet of paper in front of them. They were all told to read over and follow all of the instructions that were provided. Once the instructions were read and understood, participants began working at the task. Participants in the neutral mood condition were informed that the Department of Psychology was developing a questionnaire to assess life events in a systematic and reliable manner. They were told in order to construct such a questionnaire it was necessary to first collect a large sample of positive, negative, and neutral life events from 54 which to choose the appropriate materials. Therefore, it was their task to recall, re- experience and to write about only the mundane (or everyday) events of their previous day (see Appendix C for both mood inductions). Participants in the neutral mood condition were told that the events that they were to write about should not be particularly positive or negative, but rather neutral. The instructions further gave participants examples of appropriate topics to write about, such events as going to class, or going to the store to buy groceries. Before writing, participants were instructed to take a moment to think about the events that they would describe on the paper provided to them. They were told that because no one besides the experimenter would read their descriptions, and because their descriptions wouldn’t be matched to their identity in any way, it would be appreciated if they answered as truthfully as possible. In actuality, participants’ answers could be matched to their subject number because each participant was escorted into a particular room systematically by the experimenter, in a manner such that her identity and answers could be paired. Participants were told that they could have as much paper as necessary, and were told that they would have ten minutes to complete this task. A period of ten minutes was used for this mood induction for all conditions (similar to Bodenhausen et al., 1994), to minimize the chance that the participants would finish the task early, and to minimize inadvertently induced with feelings of boredom. Instructions for participants in the negative mood condition were similar to those of the neutral mood condition with the following exception. Rather than asking participants to recall and write about an everyday life event, participants in the negative mood condition were asked to recall, re-experience, and write about a personal life event that made them sad. Before writing about the sad life event, they were instructed to think 55 about how they felt at the time of the event, were asked to focus on concrete and vivid aspects of the event rather than on an abstract or objective assessment of it, and were also instructed to provide an account of how the event happened to come about (Strack, Schwarz, & Gschneidinger, 1985). Prior to completing the mood induction task, participants were reinforced with notions that their answers for the task would be kept confidential. After the ten minute period of writing, participants were given a version of the PANAS (Watson, Clark, & Tellegen, 1988) to assess their current mood state (See Appendx D). Instructions asked participants to rate on a 1 to 5 Likert-scale (“very slightly/not at all” to “extremely”), how they were feeling at the present moment along various positive and negative affect dimensions. Participants were also asked to answer an additional question about their general current mood state using a l to 9 point Likert- scale (“very negative” to “very positive”). After the PAN AS was completed, all participants were led back to the original lab room where they first completed the brainstorming task and were seated in their original chairs. For participants in the ftf group conditions, the removable barrier was put back into place so that the remaining questionnaires could be completed in isolation. Once participants were seated, they were instructed to “switch gears” and to take some time to think about the brainstorming task that they previously completed. Participants were asked to close their eyes, take a deep breath, and think about how they performed at the brainstorming task. They were asked to reflect on their brainstorming experience for a period of two minutes. During this two minute period of reflection, the experimenter left the room. After the reflection period was over, the experimenter returned to the lab and 56 handed each participant a packet of questionnaires that were to be answered individually. Participants were explicitly instructed not to interact or communicate with one another while answering this series of questionnaires. The first post—task questionnaire (see Appendix E) was designed to assess perceptions of performance at the brainstorming task. The first question asked participants to indicate how satisfied they were with their personal performance at the task, using a 1 to 9 Likert-scale ranging from “not at all satisfied” to “extremely satisfied.” The second question was an open-ended question, which asked participants to explain why they chose the satisfaction rating that did. The next question, similar to the measure used in Paulus et al. (1993), asked participants to rate the number of ideas that they personally were able to generate using a l to 9 Likert-scale ranging from “very few ideas” to “very many ideas”. And the fourth question (open-ended) asked participants to estimate how many ideas they thought they generated during the brainstorming task. In this questionnaire, participants were also instructed to imagine that they had been asked to work on the same brainstorming problem under the other type of group condition (nominal or face-to-face), and were then asked to answer whether they thought they as individuals, would have generated more or less ideas (using a 1 to 9 Likert—scale with 1 being “many less ideas”, 5 being “the same amount of ideas,” and 9 being “many more ideas”). In other words, participants in the nominal group conditions were asked to imagine that they worked on the same task, but in a face-to-face group and vice versa for those in the ftf group conditions. They were then asked to answer whether they would have been more or less productive under face-to-face group conditions, compared to the nominal group condition in which they had previously performed and vice versa for those 57 in the ftf group conditions. Participants were also asked to answer “which type of group do you think would come up with more ideas?” using a 1 to 9 Likert-scale (with 1 being “nominal group would come up with many more ideas,” 5 being “both groups would come up with the same amount of ideas,” and 9 being “face-to-face group would come up with many more ideas”). Similar to Stroebe et al. (1992), participants in the ftf group conditions were asked: 1) “Out of the total number or non-redundant ideas from your face-to-face group, what percentage do you think were suggested by you?” 2) . .what percentage do you think were suggested by others (and not mentioned by you), but also occurred to you?” and, 3) . .what percentage do you think were suggested by others, and did not occur to you?” Participants in the nominal group conditions were asked similar questions, however, they were asked to make assessments concerning their nominal group and were not asked the second question listed above concerning ideas that were suggested by others but also occurred to the participant. Similar to Nijstad (2000), all participants in the ftf group conditions were asked to answer the following three questions using 9 point Likert-scales: 1) “During the brainstorming task, how difficult was it to generate ideas? (“not at all difficult” to “extremely difficult”), 2) “During the brainstorming task, how often were you unable to come up with a new idea? (“not very often” to “very often”), and 3) “During the brainstorming task, how often had you internally generated an idea which had already been mentioned? (“not very often” to “very often”).” However, unlike Nij stad (2000), participants in the nominal group conditions were only asked the first two questions in this series of three measures, because at the time of questionnaire construction for this 58 study, the third question did not seem applicable to the nominal group brainstorming experience. Initially it was unclear how nominal participants would respond to that third question because it was originally interpreted as meaning, “How often had you internally generated ideas which had already been mentioned by others?” Because it was not until after the data were collected that I realized the question could be in reference to “mentioned by oneself,” the measure was excluded from the questionnaire provided to nominal group participants. Therefore, the test of the SIAM explanation for this study could only be done using a composite measure that was comprised of only two of Nijstad’s three original questions. This omission in retrospect should have been avoided, however, it does seem understandable in some regards especially considering that several of the reviewers of the current study also interpreted the term “had already been mentioned” as being inapplicable to nominal brainstormers. To test the social comparison explanation provided by Paulus et al. (1993), all participants were asked to answer how they thought they personally, relative to other students at MSU, performed at the brainstorming task. Participants used a l to 9 Likert- scale ranging from “not well at all” to “extremely well” to answer this question. A follow up question was also administered, which asked participants to rate from 1 to 9, how certain they were of their answer (from “not certain at all” to “extremely certain”). All participants were also asked to provide ratings concerning the level of effort that they put into the task, how motivated they were to perform well, the amount of pressure they felt to come up with ideas, the level of difficulty they had concentrating while trying to generate ideas, and how much enjoyment they felt during the task. Participants were also asked to rate how creative they felt their own ideas were, and how 59 they felt about the quality of their own ideas. Participants were also asked to answer whether they thought the quality of their ideas would have been better or worse if they had been in the other type of working condition. After participants completed the performance assessment questionnaire, they completed a questionnaire designed to assess their general preferences and beliefs about the various type of work groups (nominal and ftf) (See Appendix F). Using a 1 to 9 Likert-scale, participants were asked to rate whether they disagreed or agreed with the claim that in brainstorming tasks, face-to—face groups generate more ideas than nominal groups (with 1 being “I disagree completely” and 9 being “I agree completely”). They were also asked to provide confidence ratings for their answer. Using the same scale as mentions above (“I disagree completely” to “I agree completely”), participants were also asked “For most types of tasks, face-to-face groups are more likely to do a better job than nominal groups.” In this questionnaire, participants were also asked to estimate how many ideas they would produce in a 5 minute period, if they worked in a face-to-face group, and also in a nominal group (open-ended). All the measures that asked participants to make comparisons between nominal and face-to-face groups were counterbalanced to minimize any order effects. For example, with this series of questions, half of the participants were asked to first estimate how many ideas they would produce if working in a ftf group, and then were asked to estimate how many ideas they would produce if working in a nominal group. The other half of the participants were first asked how many ideas they would produce if working in a nominal group, and then were asked to estimate how many ideas they would produce if working in a ftf group. 60 To get a sense of the participants’ general beliefs about working groups, all participants were asked the following using a continuous 9 point scale: 1) “Regardless of the nature of the task, I am generally more satisfied with my personal performance when I work. . .(“1 = alone to 9 = in a face—to-face group”), 2) “For problem-solving tasks, I am more satisfied with my personal performance when I work. . .(same scale as above)” 3) “In general, I am more creative when I work. . .(same scale as above)” and 4) “I enjoy myself more when I work. . .(same scale as above)” After completing the general beliefs questionnaire, all participants were given a measure to assess their level of extraversion (See Appendix G). Participants were provided with ten statements, and were instructed to rate how accurately each statement described them. They were told to provide ratings based on how they are generally in the present, not how they wish to be in the future. They were also instructed to describe themselves honestly, and in relation to other people they know who are the same sex, and roughly the same age. Participants were provided with a 5 point scale to make their assessments, with 1 being “very inaccurate”, 3 being “neither inaccurate nor accurate,” and 5 being “very accurate.” Participants were asked to give ratings on the following statements: 1) “Am the life of the party,” 2) “Don’t talk a lot,” 3) “Feel comfortable around people,” 4) “Keep in the background,” 5) “Start conversations,” 6) “Have little to say,” 7) “Talk to a lot of different people at parties,” 8) “Don’t like to draw attention to myself,” 9) “Don’t mind being the center of attention,” and 10) “Am quiet around strangers.” After the extraversion measure was completed, participants completed a manipulation check measure (See Appendix H) which asked them (open-ended) to write 61 and explain in detail if: 1) there was anything unusual about-the first part of the study (where they brainstormed), and 2) the second part of the study (where they wrote about a life experience). Participants were also asked to explain what they thought was the purpose of the study. After the manipulation check was completed, the experimenter collected all of the questionnaires. Once the forms were collected, the experimenter announced to all participants that they would be receiving an email sometime in the near future. Participants were told that the subject heading for the email would say “MSU Psychology Study.” They were also told that the email would contain a quick survey concerning the study. After the announcement was made, participants were debriefed and given credit for their participation. After a period of fourteen days (similar to the length of time between session 1 and 2 from Stroebe et al. (1992)) from the initial date of their experiment session, all participants received an email from the experimenter. The email message contained the following paragraph: “A few weeks ago, you participated in a study called “Idea Generation Task.” In this study you were asked to brainstorm about the benefits/difficulties that would arise if everyone were to have an extra pair of thumbs. Listed below are all of the ideas that were mentioned by your group. We are interested in people’s memory concerning their brainstorming experience. So, next to each idea, please answer by using the following number system: 1 = I thought of this idea and mentioned it 2 = I thought of this idea but did not mention it 3 = I did not think of this idea, nor did I mention it” The email message listed all of the ideas that were generated from the participants’ group, in a random order. Participants were asked to provide one of the three ratings shown above next to each one of the ideas that were listed, and were then asked to reply 62 and send the email back to the experimenter. Using a l to 9 point Likert-scale (ranging from “not at all satisfied” to “extremely satisfied”), participants were also asked to rate how satisfied they were with their personal performance at the brainstorming task that they completed two weeks before. 63 RESULTS Manipulation and Suspicion Checks The last questionnaire that was completed by participants asked them to make note of any unusual aspects concerning the study. The most common response noted by participants dealt with the nature of the brainstorming topic. Some participants stated that they could not understand why they were asked to brainstorm on an odd topic such as how the world would change if people had additional thumbs. Because the participants who felt the topic was odd were randomly distributed across conditions, and because the nature of the voiced suspicion should not have affected the results of the study, data from all participants were included in the analyses. Participants were also asked to state what they perceived was the purpose of the study. Importantly, none of the participants believed the purpose was to examine the role of mood on perceptions of performance. A manipulation check was also performed to assess the effectiveness of the experimental mood induction. To test the relative effectiveness of this manipulation, the PAN AS was administered immediately after the time for the experimental induction ended. To properly analyze the results, first, intraclass correlations for data from participants in the ftf group conditions were calculated for each of the twenty—one items on the mood assessment questionnaires. The purpose behind these calculations was to identify the occurrence of any violations of independence (Kashy & Kenny, 2000). Following the suggestions outlined in Kashy & Kenny (2000), a liberal test (alpha = .20) of nonindependence was used. 8 Intraclass correlations were calculated for all post-brainstorming task measures to assess for violations of independence. Group was used as the unit of analysis when violations of the independence assumption occurred. Therefore, all subsequent measures that used individual as the unit of analysis showed no evidence of interdependence. 1101 det cal Of the twenty-one dependent measures, eight showed evidence of nonindependence. These eight items were: upset, strong, irritable, alert, ashamed, determined, attentive, and current mood state. The effect of the mood induction was calculated for these eight measures, using group as the unit of analysis. In this study, there were a total of 37 three-person groups in the neutral mood conditions, and a total of 40 three-person groups in the negative mood conditions. Results from 2 X 2 ANOVA tests show the following significant and relevant findings. A main effect for mood (M neutral = 1.35; M negative = 2.32) in the expected direction was found on the “upset” item, F (1, 73) = 39.37, p < 0.001. There was no main effect for group (M nominal = 1.92; M ftf = 1.74), F (1, 73) = 1.34, p = 0.25, and the interaction of group and mood failed to reach significance, F (1, 73) = 1.37, p = 0.25 (See Appendix 1, table 1 for condition means). On the 9-point “current mood state” question, negative mood participants reported feeling significantly less positive than those in the neutral mood condition (M = 5.21 and M = 5.99, respectively), F (1, 73) = 9.76, p = 0.003. The main effect for group was not significant (M nominal = 5.43; M ftf = 5.77), F (1, 73) = 1.91, p = 0.17, nor was the interaction effect. Participants in the negative mood conditions (M = 2.0) also reported feeling more irritable than neutral participants (M = 1.66), F (1, 73) = 5.68, p = 0.02 and more ashamed (M negative = 1.54; M neutral = 1.15), F (l, 73) = 9.96, p = 0.002. The main effect for group (M nominal: 1.46; M ftf = 1.24) on the ashamed measure was marginally significant, F (1, 73) = 3.11, p = 0.08. A main effect for mood was found on the “strong” item (M neutral = 2.24; M negative = 2.67), however in the opposite direction as would be expected, F (1, 73) = 5.21, p = 0.025. One plausible post-hoe explanation that could account for this finding would be if 65 participants in the negative mood condition wrote about negative life experiences in which they asserted themselves (e.g., ended a relationship). The main effect for group (M nominal = 2.29; M ftf = 2.63) was marginally significant, F (1, 73) = 3.53, p = 0.06. There were no significant main effects or interactions on the items “alert,” “determined,” or “attentive.” For the remaining single item measures from the mood assessment questionnaire, individual was used as the unit of analysis in the following 2 X 2 ANOVA tests. Again, only significant and relevant findings are reported. A main effect for mood was found such that negative participants felt significantly more distressed than those in the neutral conditions (M = 2.34 and M = 1.73 respectively), F (1, 227) = 16.78, p = 0.001 (See Appendix 1, table 2 for condition means). Interestingly, a main effect for group was also found illustrating that nominal participants (M = 2.17) felt more distressed than ftf participants (M = 1.88), F (1, 227) = 4.14, p = 0.043. Negative mood participants reported feeling more guilty than neutral mood participants (M = 1.64 and M = 1.24 respectively), F (1, 227) = 10.43, p = 0.001; more scared (M = 1.57 and M = 1.19 respectively), F (l, 227) = 12.60, p = 0.001; more hostile (M = 1.54 and M = 1.14 respectively), F (1, 227 ) = 9.78, p = 0.002; less enthusiastic (M = 1.70 and M = 2.16 respectively), F (l, 227) = 10.83, p = 0.001; and more afraid (M = 1.47 and M_= 1.13 respectively), F (l, 227) = 10.99, p = 0.001. There was a marginal main effect for group on the nervous measure (M nominal = 1.79; M ftf = 1.54), F (1, 227) = 3.31, p = 0.07, such that nominal participants were reporting more nervousness than ftf participants. And there were no significant main effects or interaction effects on the items: “interested,” “excited,” “proud,” “inspired,” “jittery,” or “active.” 66 Two composite measures were also created to assess the relative effectiveness of the mood manipulation. One composite measure consisted of the ten positive affect items, while the other consisted of the remaining ten negative affect items. Using the positive affect composite measure as the dependent variable, no differences between the two mood conditions were found (M neutral = 23.54; M negative = 23.05), F (1, 227) = 0.22, p > 0.05, nor was any group effect found (M nominal = 23.59; M ftf = 23.02), F (l, 227) = 0.271, p > 0.05. Because there was evidence of nonindependence for the negative affect composite measure, group was used as the unit of analysis in the 2 X 2 ANOVA. With group as the unit of analysis, a significant difference was found in the expected direction, such that those in the negative mood conditions felt significantly more negative than those in the neutral mood conditions (M = 18.18 and M = 13.97 respectively), F (1, 73) = 28.02, p < 0.01. Interestingly, a significant main effect was also found for the group variable (M nominal = 16.85; Mftf= 15.28), F (l, 73) = 3.85, p = 0.05, demonstrating that nominal participants felt more negativity than ftf participants. There was no interaction effect between group and mood on the negative composite measure. Because differences were found on many of the negative but not positive measures (which makes sense because the mood induction manipulated negative mood and not positive mood), there is evidence to support previous claims (e. g., Costa & McCrae, 1980; Diener & Emmons, 1985; Watson & Tellegen, 1985) that negativity and positivity are orthogonal dimensions rather than opposite ends of the same continuum. Given this, then the results imply that mood differences between the group conditions under the contexts of this study are essentially occurring along the negativity dimension rather than the positivity dimension. In other words, nominal participants feel more negative than ftf 67 participants, however, ftf participants feel no more positive than nominal participants. Despite the group main effect on the negative composite measure (and the distress measure), it should be noted that the mood manipulation effects were stronger and more frequent than the work condition effects. Hence, at this point, it appears that current mood state was more strongly determined by the recent mood manipulation than the prior work condition, although some traces of influence from the latter still existed. To further specify what the participants in the negative mood conditions were feeling after the mood induction, t-tests were conducted to see what the participants were feeling most strongly. Results show that means for the items “upset” and “distress” were significantly higher than any of the means for the other negative affect ratings. The mean for “distress” (M = 2.33) did not significantly differ from the mean for “upset” (M = 2.32), t (119) = 0.05, p > 0.05. Given all of these results, it appears that the mood manipulation successfully induced those in the negative mood conditions with negative affect, in particular with feelings of distress and succeeded to make participants feel upset. Conveniently, these are the kinds of moods that would presumably facilitate a misattribution process concerning performance assessments, and therefore offer a valid test of the mood explanation. General beliefs and expectations concerning groups Previous studies (e.g., Stroebe et al., 1992; Paulus et al., 1993) have found that prior to any immediate brainstorming experience, most people generally believe that ftf brainstorming groups are more productive than nominal groups, and that they personally would be more productive at a brainstorming task if they were in a ftf group compared to a nominal group. For example, Stroebe et al. (1992) found that 80% of their participants 68 thought that a person working in a ftf group would be more productive than an individual working in a nominal group. Paulus et a1. (1993) showed that individuals expected to generate more ideas (M = 14.32) in a ftf group setting, compared to in a nominal group setting (M = 11.56), p < 0.05 (one-tailed). Results from this study also illustrate a biased belief in favor of ftf brainstorming groups. Prior to the brainstorming task, when participants were asked to answer the following question using a 9-point scale, “Which type of group is more likely to generate the most ideas (1 = nominal group, 5 = same, and 9 = ftf group)?” the average response was 6.79 (N = 229). This mean response was significantly higher than the scale midpoint, t (228) = 9.67, p < 0.01, which suggests that on average participants believed that ftf groups would generate more ideas. Results from a 2 X 2 ANOVA show no main effect for group or mood, which demonstrates that as expected, there were no condition differences on this pre-task measure. Using the same 9-point scale, participants were also asked to answer, “In which type of group would you personally generate more ideas?” The mean response was 5.50, which was also significantly higher than the scale midpoint, t (229) = 2.32, p = 0.021. Again, 2 X 2 ANOVA results showed there was no significant interaction or main effects. Along similar lines (using a 9-point scale ranging from “not many ideas at all” to “very many ideas”), participants were asked to answer the following questions: 1) if you were given 10 minutes to complete the brainstorming task, how many ideas would you, personally, come up with under nominal group conditions, and 2) if you were given 10 minutes to complete the brainstorming task, how many ideas would you, personally, come up with under face-to-face group conditions. There were no interactions or main 69 effects for either of these measures. For the first measure, the grand mean response was 5.78 (SD = 2.37). For the second measure, the grand mean response was 5.73 (SD = 1.35). Results from a paired sample t-test indicate that these two means did not differ, t (227) = -0.300, p = 0.74. Given that there has been a substantial amount of evidence from this study as well as previous studies (e.g., Stroebe et al., 1992; Paulus etal., 1993) suggesting that a pro-group biases exists, particularly before direct group brainstorming experience, this finding was unexpected and suggests that perhaps the framing of the question affects the nature of the responses. For whatever reason, it seems that the illusion effect becomes more consistent and pronounced when the framing of the question is broad (e. g., ratings of satisfaction) rather than specific (e. g., how many ideas do you think you would come up with). For the item, “In which type of group would you prefer to work in?” the mean response was 6.44, which was also significantly higher than the scale midpoint, t (229) = 7.38, p < 0.001. No main effects or interactions were found. Therefore, analyses from these pre-task measures generally show: 1) there were no mood condition effects prior to working on the brainstorming task, 2) prior to direct brainstorming experience, participants expected that ftf groups would be more productive than nominal groups, 3) participants expected they personally, would be more productive in ftf groups instead of nominal groups, and 4) participants had a preference for working in ftf groups over nominal groups. Performance and perception results Consistent with findings from previous studies (e.g., Diehl & Stroebe, 1987; Stroebe, et al., 1992; Paulus et al., 1993), nominal groups outperformed ftf groups at 70 approximately a 1:1.5 ratio (see Table 3, Appendix I for results by condition). The mean number of nonredundant ideas generated by nominal groups (n = 39) was 38.40 (SE = 1.34), while the mean number of ideas generated by ftf groups (n = 38) was 23.05 (SE = 1.36). Redundant ideas, which were only found among nominal groups, were only counted once towards the overall group product. Ideas were labeled as redundant only if they suggested identical concepts, and were not labeled redundant if they were variations of one another. For example, if two group members submitted the idea “will be harder to play instruments,” their nominal group would be credited with one idea. However, if one member suggested “will be harder to play instruments,” and another member suggested “will be harder to play the trumpet,” the group was credited with two ideas. 2 X 2 ANOVA results of the number of ideas at the group level show this main effect was significant, F (1, 73) = 65.09, p = 0.001. Because performance was completed prior to the mood manipulation, no main effect for mood or interaction was expected, and neither was found. Interestingly, when participants were instructed to assess their perceptions of their performance at the brainstorming task, results differed depending on how the question was asked. Similar to Stroebe et al. (1992) and Nijstad (2000), when participants were asked to rate how satisfied they were with their personal performance at the task, participants from ftf groups were significantly more satisfied than participants from nominal groups (M = 6.14, SE = 0.166 and M = 5.40, SE = 0.164 respectively), F (1, 227) = 10.08, p = 0.002. This result from the 2 X 2 ANOVA confirms the interesting pattern where participants in ftf groups report feeling more satisfied, despite having performed worse relative to those who brainstormed individually (see Appendix I, Table 4 for 71 condition means). The main effect for mood and the interaction effect were not significant, F (1, 277) = 1.16, p = 0.28, and F (1, 227) = 0.03, p = 0.85, respectively. To directly test whether mood mediated the relationship between satisfaction and group, a series of regression analyses were conducted in accordance with the guidelines suggested by Baron and Kenny (1986). When using the single item, “upset,” from the PAN AS, the test of mediation could not be performed because although the relationship between group and satisfaction were significant (Beta = 0.205) the relation between the “upset” measure and group condition, and “upset” and perceptions of satisfaction were not significant (Beta = -0.096 and 0.075 respectively). Similarly, when using the PANAS item “distressed,” the test of mediation could not be performed because “distressed” was not significantly correlated with group (Beta = -0.123, p = 0.06), or satisfaction (Beta = - 0.067, p = 0.30). When using the ten-item negative mood composite measure from the PANAS, group and negative mood scores were not significantly related (Beta = -0.184, p = 0.10), nor was the relationship between negative composite scores and satisfaction (Beta = 0.706, p = 0.51). Because mood was manipulated in this study, the mood condition (neutral vs. negative) was also simultaneously entered into the following regression analyses with group, to parcel out any influence the mood condition could have had on the associations between group and the mediator and dependent variable. When conducting the regression analyses in this manner, the following results were found. When distress was used as the mediator, and was regressed on group condition and mood condition that were entered simultaneously, a significant association was found between group and distress (Beta = -0.127, p = 0.047) such that participants in the nominal groups reported higher levels of distress. When satisfaction was regressed on group and the mood condition, the relationship between group and satisfaction was significant (Beta = 0.206, p = 0.002). However, when satisfaction was regressed on group, mood condition, and distress, the relationship between distress and satisfaction was not significant (Beta = - 0.052, p = 0.44), so the prerequisite conditions for the test of mediation were not present. Similar results were found when the PANAS negative composite measure was used as a potential mediator between the relationship of group and satisfaction. When the negative composite measure was regressed on group and the mood condition, the relationship was significant (Beta = -0.191, p = 0.05), again demonstrating that nominal participants felt more negative than ftf participants. The relationship between group and satisfaction was significant, however, when satisfaction was regressed on group, mood condition, and the negative composite scores (all entered simultaneously), the relationship between negative composite scores and satisfaction was not significant (Beta = 0.112, p = 0.41). To test the mood hypothesis with participants that most resembled those from previous studies where mood was not manipulated, tests of mediation were performed selecting only those participants in the neutral mood conditions. For the following analyses, distress was tested as a potential mediator between the relationship of group and satisfaction. Although the correlations between group condition and satisfaction (Beta = 0.187, p = 0.049) and group condition and distress (Beta = -0.215, p = 0.023) were significant, the association between satisfaction and distress was not significant (Beta = - 0.141, p = 0.14) when satisfaction was regressed on group and distress (which were entered simultaneously). When group and distress were entered simultaneously, the relationship between group and satisfaction was also no longer significant (Beta = 0.157, 73 p = 0.104). Even though the relation between satisfaction and distress was not significant (p = 0.14), a Sobel test was conducted to examine whether the reduction in the strength of the association between group and satisfaction was significant. Results indicate the reduction was not significant (Sobel 2 test statistic = 1.24, p = 0.21). Again selecting only participants in the neutral mood conditions, the PAN AS negative composite measure was tested as a potential mediator between group and satisfaction. When the negative composite measure was regressed on group, the association was only marginally significant (Beta = -0.307, p = 0.06) (in the expected direction). When satisfaction was regressed on group, the relationship was significant (Beta = 0.187, p = 0.049). When satisfaction was regressed on the negative composite measure and group (which were entered simultaneously), the relationship between satisfaction and negativity was significant (Beta = 0.38, p = 0.026), as was the relationship between group and satisfaction (Beta = 0.369, p = 0.029). So, in this set of analyses using only neutral participants, distress was related to satisfaction however in the opposite direction as predicted. In other words, results show that the more distressed participants were, the more satisfied they reported feeling. Interestingly, when the effect of negativity was controlled for, the relationship between group and satisfaction actually seemed to increase, but not significantly (Sobel 2 test statistic = -1.48, p = 0.14). To examine the multiple hypotheses concerning satisfaction ratings, the two independent variables were combined to form one four-level variable so that an ANOVA and subsequent contrasts could be conducted. First, the One-Way ANOVA was significant, F (3, 227) = 3.75, p = 0.012. Similar to the 2 X 2 ANOVA results, a main effect for work condition was found, t (227) = -3.175, p = 0.002, however no main effect 74 for mood and no group x mood interaction was found; t (227) = 1.075, p = 0.28 and t (227) = 0.185, p = 0.853 respectively. In the closest approximation of and replicating the findings from Stroebe et al. (1992) and Nijstad (2000), a planned contrast shows ftf/neutral participants (M = 6.24) were more satisfied with their performance compared to nominal/neutral participants (M = 5.54), t (227) = — 2.073, p = 0.039. Interestingly, ftf/negative participants (M = 6.03) were not significantly more satisfied than nominal/neutral participants, t (227) = -1.50, p = 0.14. This at best, indirectly suggests that simply being in a ftf group will not necessarily lead to the illusion effect, and that other factors, such as the presence of negative moods could minimize the magnitude of the illusion. However this conclusion may be erroneous because when post-hoe comparisons on negativity were conducted between ftf/negative and nominal/neutral participants, results show that ftf/negative participants actually felt more upset (M = 2.32) than nominal/neutral participants (M = 1.53), F (1, 37) = 11.80, p = 0.01, and scored higher on the negative composite index (M ftf/negative = 17.48, M nominal/neutral = 14.82), F (l, 37) = 4.74, p = 0.036. 80, despite feeling more negative than nominal/neutral participants, ratings of satisfaction did not differ between ftf/negative and nominal/neutral participants. If the absence of negativity was a determining factor in producing the illusion effect, then nominal/neutral participants should have been more satisfied than ftf/negative participants. Furthermore, post—hoe analyses also show that ftf/negative and nominal/negative participants did not differ in any of the measures of negativity, yet ftf/negative participants (M = 6.03) were more satisfied than nominal/negative (M = 5.25) participants, t (227) = - 2.42, p = 0.016. 75 Basis of satisfaction ratings. After participants were asked to make satisfaction ratings, they were asked (open-ended question) to write out why they chose the response that they did. To analyze the results for this question, answers were number coded in accordance with the following classification system. Responses were designated to one of the following categories: 1) “came up with many ideas,” 2) “came up with good/creative ideas,” 3) mentioned both “many and good/creative ideas,” 4) “couldn’t come up with many ideas,” 5) “couldn’t come up with good/creative ideas,” 6) mentioned both “couldn’t come up with many ideas and with good/creative ideas,” 7) “other,” and 8) “was the recorder for the group.” For nominal participants, the most frequent response (24.8%) was “came up with many ideas,” followed by (22.2%) “couldn’t come up with many ideas (presumably from participants who were not particularly satisfied)” Therefore, 47% of the total responses were in reference strictly to quantity. A similar pattern was seen among ftf participants; the most frequent response (31.6%) was “came up with many ideas,” followed by (23.7%) “other” and then (13.2%) “couldn’t come up with many ideas.” Therefore, 44.8% of the responses from ftf participants referred strictly to quantity. Conversely, 26.5% of the responses from nominal participants made reference to strictly to quality, while 13.2% of responses from ftf participants made reference strictly to quality. Post-task responses from participants imply that ratings of satisfaction were not driven primarily from ratings of quality. Interestingly however, post-hoe analyses offer evidence to the contrary. After the brainstorming task and mood induction procedure, participants were asked to assess, “How creative do you think your ideas were from the brainstorming task (using a 1 to 9 Likert—scale ranging from “not at all creative” to 76 “extremely creative”)?” They were also asked to rate, “How do you feel about the quality of your ideas from the brainstorming task (using a 1 to 9 Likert-scale ranging from “very poor quality” to “extremely high quality”)?9” A 2 X 2 ANONA was conducted on ratings of creativity. There was no main effect for mood (M control = 6.46; M negative = 6.02), however, a main effect for group was found, F (l, 137) = 8.75, p = 0.004. Participants from ftf groups (M = 6.8, SE = 0.35) rated their ideas as being more creative than participants from nominal groups (M = 5.68, SE = 0.152). There was no interaction between group and mood. Similarly, a 2 X 2 AN OVA was conducted on ratings quality. Again, there was no main effect for mood (M control = 5.54; M negative = 5.49), however, a main effect for group was found, F (1, 137) = 17.11, p = 0.001. Participants from ftf groups (M = 6.22, SE = 0.31) rated their ideas as being higher in quality than participants from nominal groups (M = 4.81, SE = 0.14). Again, no interaction between mood and group was found. Do determine whether perceptions of creativity and quality influenced ratings of satisfaction (despite the experimental instructions which informed participants that the goal of the task was to come up with as many ideas as possible), creativity and quality were tested separately as potential mediators between the relationship between group and ratings of satisfaction. First, when creativity was regressed on group, a significant relationship was found (Beta = 0.22, p = 0.01). Group influenced creativity such that ftf participants felt more creative. Next, when satisfaction was regressed on group, the relationship was significant (Beta = 0.205, p = 0.002). Again, indicating that ftf 9 Due to a clerical error, data from only 24 ftf participants was collected on these two questions. Data from 117 nominal participants was collected 77 participants felt more satisfied with their performance. When satisfaction was regressed on group and ratings of creativity (which were entered simultaneously), the relationship between satisfaction and creativity was significant (Beta = 0.346, p = 0.001), and the relationship between satisfaction and group ceased to be significant (Beta = 0.118, p = 0.14). Results from the Sobel z-test show that the influence of group on satisfaction was significantly reduced when controlling for ratings of creativity, Sobel 2 statistic = 2.27, p = 0.02. Because it is theoretically possible that feelings of satisfaction influenced ratings of creativity, satisfaction was entered as a potential mediator between group and creativity. To test this alternative explanation, satisfaction was first regressed on group. This relationship was significant (Beta = 0.205). When creativity was regressed on group, the relationship was significant (Beta = 0.22). And, when creativity was regressed on group and satisfaction, the relationship between creativity and satisfaction was significant (Beta = 0.34), and the relationship between group and creativity remained significant (Beta = 0.15, p = 0.05). Therefore, it seems more likely that ratings of creativity partially mediate the relationship between group and satisfaction, rather than satisfaction mediating the relationship between group and creativity. Similarly, a test of mediation was conducted using ratings of quality as a potential mediator between group and satisfaction. When quality was regressed on group, a significant relationship was found (Beta = 0.33, p = 0.001) such that ftf group members felt their ideas were higher in quality. When satisfaction was regressed on group, the relationship was significant (Beta = 0.205, p = 0.002). When satisfaction was regressed on group and quality, the relationship between quality and satisfaction was significant 78 (Beta 2 0.398, p = 0.001), however, the relationship between group and satisfaction was no longer significant (Beta = 0.065, p = 0.43). Results from a Sobel z-test show that the influence of group on satisfaction was significantly reduced when controlling for ratings of quality, Sobel z statistic = 3.12, p = 0.002. Again, because it is theoretically possible that feelings of satisfaction could influence assessments of quality, satisfaction was tested as a potential mediator between group and quality. When satisfaction was regressed on group, the relationship was significant (Beta = 0.205, p < 0.05). When quality was regressed on group, the relationship was significant (Beta = 0.326, p < 0.05). And, when quality was regressed on satisfaction and group, the relationship between satisfaction and quality was significant (Beta = 0.370, p < 0.05), and the relationship between group and quality remained significant (Beta = 0.254, p = 0.001). Therefore, it seems more likely that assessments of quality influence ratings of satisfaction, rather than feelings of satisfaction influencing ratings of quality. These tests of mediation suggest that assessments of creativity and quality each partially mediate the relationship between group and satisfaction. These patterns of results are in line with findings from previous literature (e.g., Stroebe et al., 1992) that show that participants expect to generate better quality ideas in ftf group settings. A test of mediation using ratings on the number of ideas generated was not conducted because there were no differences between groups on this measure. These results all imply that the illusion of group productivity may be driven by participants’ expectations that they will be more creative and come up with better quality ideas when working in a ftf group. Despite the experimental instructions that emphasize quantity, participants seem to be 79 basing may ii of per than 5 numh many with ll chose consic ratings diretti perfor the Sn menr gTOUp WhCT from and j mood COndr Palllcj basing their ratings of satisfaction on their assessments of quality and creativity. This may in part speak to why the illusion effect is most likely to be found when perceptions of performance are assessed using broad measures such as ratings of satisfaction, rather than specific measures which are designed to assess quantity (such as ratings of the number of ideas or open-ended questions which prompt participants to estimate how many ideas they themselves had generated). Although these conclusions are inconsistent with the analyses from the open-ended responses from participants concerning why they chose the satisfaction rating that they did, the inconsistencies could be explained by considering that participants may not be able to accurately report why they chose the ratings the did, and by considering that participants may have simply been reiterating the directions in which they were asked to come up with as many ideas as possible. An alternative measure to ratings of satisfaction. Unexpectedly, when measuring performance perceptions similar to Paulus et a1. (1993), a different pattern of results from the satisfaction ratings was found. When Paulus et al. (1993) asked participants to “rate the number of ideas you as an individual were able to generate,” participants in the ftf group condition gave higher ratings than participants in the nominal group condition. When participants in this study were asked the same question, no differences were found from the 2 X 2 ANOVA between the two group conditions (M nominal = 5.59, SE = 0.16 and M ftf = 5.58, SE = 0.16), F ( 1, 227) = 0.002, p = 0.962. Similarly, no main effect for mood or group x mood interaction was found, p > 0.05 (see Appendix I, Table 5 for condition means). The following question was included in the e mail message that was sent to participants two weeks after their brainstorming session: “How satisfied were you with 80 your personal performance during the brainstorming exercise?” Participants answered this question using a 1 to 9 Likert-scale that ranged from “not at all satisfied” to “extremely satisfied.” If mood is the primary factor behind the illusion of group productivity, then there should be no differences between conditions on this measure (given the assumption that mood would be similar across conditions two weeks after the experimental session)”. If there are no differences between conditions, it is somewhat unclear how alternative explanations, in particular the misappropriation explanation, could account for any lack of difference on ratings of satisfaction. Admittedly, if no differences in satisfaction are found between conditions this would only indirectly support the mood explanation. It is possible that participants will not have perfect recollection of social comparison information, therefore analyses on delayed ratings of performance perception may not speak to the validity of the social comparison hypothesis. However, if the misappropriation explanation is correct and the illusion is due to memory confusion, then one would expect the illusion to be even stronger after an extended period of time. Since participants are given all of the ideas from their group in the body of the e mail message, a misappropriation explanation would predict that participants would inadvertently take credit for ideas that were not their own, and hence, ratings of satisfaction should be elevated. But because it is speculative to make conclusions based on null results and because possible confounds concerning who replied to the message may exist, the findings from this analysis should be interpreted cautiously. ’0 It is possible that a memory of mood could exist which would produce an effect, and it is possible that participants could simply remember and reiterate the satisfaction rating that they provided earlier. However, because the mood induction was not particularly extreme, and because the e mail was sent two weeks after the session, it seems rather unlikely that either situation would occur. 81 One hundred and eighteen participants responded to the e mail message (51.08% of the original sample). More specifically, 54.39% (n = 31) of the nominal/neutral participants replied, 50% (n = 30) of the nominal/negative participants replied, 44.44% (n = 24) of the ftf/neutral participants replied, and 55% (n = 33) of the ftf/negative participants replied. Results from the 2 X 2 AN OVA show there were no main effects for group or mood (p = 0.18 and 0.60 respectively) and no interaction effect (see Appendix I, Table 6 for condition means). Test of previous explanations Social comparison. Recall, according to Paulus et a1. (1993), the illusion of group productivity is in part driven by social comparison processes. They argue that because ftf group members are likely to find that they are similar to or better than others in ability, they will perceive their own performance more favorably than is actually warranted. Note that in Paulus et al. (1993), there is no mention of uncertainty leading to insecurity, this was later added in a summary of the social comparison explanation from Nijstad (2000). Because Ni j stad has collaborated closely with Paulus, it may be possible that what Nijstad is claiming is what Paulus et al. actually intended. If this is indeed the case, then the social comparison explanation can be tested by comparing certainty ratings in ability across conditions. In the current study, participants were asked to answer the following question using a 1 to 9 point Likert-scale (1=”not well at all” and 9 = “extremely well”): “How well do you think you personally, relative to other students at MSU, performed at the brainstorming task?” After providing an answer, participants were then asked a follow 82 up question which stated (using a 1 to 9 point Likert-scale from “not certain at all” to “extremely certain”) “How certain are you of your answer (to the previous question)?” 2 X 2 ANOVA results show that participants in the ftf group conditions (M = 5.63, SE = 0.12) did not differ in their assessment of relative performance compared to participants in the nominal group conditions (M = 5.39, SE = 0.12), F (1, 227) = 1.99, p = 0.16 (See Appendix I, Table 7 for condition means). This seems to contradict the explanation offered by Paulus et al. that would suggest that ftf group participants would feel more able than nominal group members. Participants in the two group conditions also did not differ in their certainty ratings (M ftf = 5.66, SE = 0.19; M nominal = 5.55, SE = 0.18), F (1,227) = 0.17, p = 0.68, which also contradicts the social comparison explanation as interpreted by Nijstad (See Appendix I, Table 8 for condition means). No significant main effects or interactions were found for either 2 X 2 ANOVA. SIAM. N i jstad (2000) proposed that the illusion was due to a relative increase in failures during the search for ideas in associative memory among nominal participants compared to participants working in ftf groups. Nij stad found support for his conjecture by comparing nominal and ftf participants on his “failures” index. Recall, his failures index included the following three questions which were answered using a 9-point scale: 9, 6‘ “rate how difficult it was to generate ideas (very difficult-not at all), rate how often it had happened that you were unable to come up with a new idea (very often-never)” and “rate how often you had internally generated ideas which had already been mentioned (very often-never)” Although this three item composite measure seems valid as a failures index for the participants in the ftf condition, it was unclear at the time of questionnaire construction for this study how the same three items could be applicable to 83 participants in the nominal condition. In particular, it was unclear how nominal participants would be able to answer the last question that asked them to rate how often they generated ideas that had already been mentioned. I originally presumed that since participants in the nominal condition worked individually, they would most likely respond “never” to this question. If this was the case, then it could be possible that the difference between group conditions in Nijstad’s failure index was due in part to this one question that was not applicable to nominal participants and that his three item index was functionally just a restatement of the work condition treatment. So in the current study, the same three questions were asked to ftf participants, however, for nominal participants, only the first two questions were asked. The third question was not included in the questionnaires for nominal participants because it was presumed to not be applicable, and presumed that participants would not know how to respond to such a question. Therefore, the failures index for the current study consisted of only the first two items that were asked by Nijstad. Using this failures index, the results of Nijstad were not replicated. 2 X 2 ANOVA results show no main effect for group, F (1, 227) = 0.86, p = 0.36 (See Appendix I, Table 9 for condition means). Tests of mediation were not conducted because the relationship between scores on the failures index and group were not significant (Beta = -0.063, p = 0.34). Similarly, when selecting only participants in the neutral mood conditions, tests of mediation were not conducted because scores on the failures index and group were not related (Beta = -0.02, p = 0.83). Ni j stad could argue that the failure to replicate his effect was due to the fact that the same three items were not included in the current analysis. However, if no difference was found using the two-item composite measure (M nominal = 10.75 vs. M ftf_ = 10.36), 84 then presumably what was driving his effect were the responses from the omitted question. If this is the case, then it is odd that Nijstad never used or justified that single item as his measure of failures, and therefore is damaging for his theoretical explanation of the illusion effect. Misappriation of ideas. Similar to the procedure used in Stroebe et al. (1992), participants in this study were presented with a list of all of the ideas that were generated by their group. Unlike the participants in Stroebe et a1. (1992) who returned to the lab in person, participants in this study were given this list via e mail, two weeks after their brainstorming session. Participants were instructed to look over the list of ideas, and then next to each idea, respond by entering a number which corresponded with one of the following options: “I thought of this idea and mentioned it,” “I thought of this idea but did not mention it,” or “I did not think of this idea, nor did I mention it.” Recall, a total of 118 participants responded to the email message. In the Stroebe et al. (1992) study, participants in the ftf groups assigned a significantly lower percentage of ideas to the categories “suggested by me,” and “suggested by another group member and had not occurred to me.” Only the first result was replicated in the current study. The percentage data from the current study were calculated by dividing the number of items in each category by the total number of ideas. Using this procedure ensured that the category percentages for each participant summed to 100%. Participants in the ftf group conditions (n = 57) reported that 36.62% of the ideas were “mentioned by me,” while participants in the nominal group conditions (n = 60) reported that 43.27% of the ideas were “mentioned by me” (See Appendix I, Table 10 for condition means). 2 X 2 ANOVA results show a main effect for group, illustrating 85 that the previous finding was significant, F (l, 114) = 6.84, p = 0.01. Participants in the ftf group conditions also reported that 36.9% of the ideas were “suggested by another group member and had not occurred to me,” while participants in the nominal group conditions reported that 44.66% of the ideas were “suggested by another group member and had not occurred to me.” Again, 2 X 2 ANOVA results show this main effect for group was significant, F (1, 114) = 6.54, p = 0.012 (See Appendix I, Table 11). In the Stroebe et al. (1992) study, participants in the ftf group condition reported a significantly higher percentage to the category “suggested by another group member but had also occurred to me,” compared to those in the nominal condition. This finding was also replicated in the current study (See Appendix I, Table 12). Participants in the ftf group conditions reported that 25.53% of the ideas were “mentioned by another group member but had also occurred to me,” while nominal participants reported that 12.03% of the ideas were “mentioned by another group member but had also occurred to me.” 2 X 2 ANOVA results show the main effect for group was significant, F (1, 114) = 30.96, p = 0.01. Stroebe et al. (1992) argue that they have support for their misappropriation explanation, because if one compares the two group conditions in terms of the proportion of ideas that participants claimed to have had during their brainstorming session, regardless of whether they mentioned the idea or not, ftf group participants report that 61% of the ideas at least occurred to them, while only 47% of the total ideas at least occurred to nominal participants. This effect was replicated in the current study. After combining the percentages from the first two categories that were outlined in the e mail (“. . .mentioned by me” and “mentioned by another but occurred to me”), participants in 86 the ftf group conditions reported that 62.15% of the total ideas at least occurred to them, while only 55.30% of the total ideas at least occurred to nominal group participants, t (116) = 2.20, p = 0.03. Therefore, if one agrees with the validity of the approach used by Stroebe et al. (1992), then the results of this study provide evidence in support of the misappropriation explanation. However, other possible tests of the misappropriation explanation seem to be less supportive. After the mood induction task (which occurred after the brainstorming task), participants were asked to estimate how many uses they personally generated (open- ended). Results from a 2 X 2 ANOVA show a main effect for group in direct contradiction to the misappropriation explanation, F (1, 221) = 28.34, p = 0.001, such that nominal group participants (M = 12.14) estimated a higher number of ideas than ftf participants (M = 7.82) (See Appendix I, Table 13 for condition means)". The main effect for mood was marginally significant, F (l, 221) = 3.28, p = 0.07, such that negative participants (M = 10.71) estimated a higher number of ideas than control mood participants (M = 9.24). The interaction between group and mood was not significant, p = 0.69. Although these results suggest there is no evidence from direct tests of the misappropriation explanation, it is true that these results could reflect the “modesty” norm process proposed by Stroebe et al. (1992). In other words, ftf participants could be claiming a fewer number of ideas in accordance with social norms. And if the normative response is to claim little credit, then it could be reasonable that negative mood participants would be less likely to be led reflexively by normative behavior (e.g., Hertel et al., 2001), therefore taking more credit than neutral mood participants. ” 2 participants from the nominal/neutral, l participant from the nominal/negative. 2 participants from the ftf/neutral and l participant from the ftf/negative did not answer this question, 87 Since the brainstorming sessions were videotaped, ideas from ftf group participants could be traced back to their original source. One research assistant viewed the ftf sessions (since nominal participants deposited their ideas in their own individual envelopes, a tally of how many ideas each nominal participant generated could be kept) and recorded who said what idea. Prior to the arrival of participants, all materials were labeled with subject numbers. Subject numbers were always designated in a systematic fashion, such that the far right seat (when facing the participants) was always the lowest number of the session. Subject number always increased from right to left. Therefore, when viewing the tapes, as long as the session number was known (and therefore the three possible subject numbers were known), the subject number of each participant could be deduced based on their position at the table. Ideas were credited to whoever vocalized the idea first. When variations of an idea were mentioned, whoever suggested the variation received credit for the idea. There were no instances in which the same idea was mentioned simultaneously by multiple group members. 2 X 2 ANOVA results show a main effect for group on the average number of ideas that were mentioned by each participant, F (1, 227) = 122.30, p = 0.001, such that nominal group participants (M = 13.91) generated significantly more ideas than ftf participants (M = 7.65). Because this task occurred prior to the mood induction, no mood effect was expected, and no effect was found, p = 0.64 (See Appendix I, Table 14 for condition means). By taking the number of ideas that were actually generated by each participant, and subtracting that number from the number that the participant estimated she generated, a test of the misappropriation explanation could be conducted. 2 X 2 ANOVA results show a main effect for group, F (1, 221) = 7.39, p = 0.007, such that nominal participants 88 (M = -1.76) actually came up with more ideas than they estimated, while ftf group participants (M = 0.17) were rather accurate in their assessments. This again, directly refutes the misappropriation explanation and to some degree, the modesty explanation which was offered by Stroebe et al. to explain their results. No significant main effect for mood was found, p = 0.11, and no interaction was found (See Appendix I, Table 15 for condition means). Additional Analyses Expectations about performance in groups. After the brainstorming task was completed, participants were asked to hypothetically imagine that they were to brainstorm on the same problem, but in a different group setting. For example, nominal group participants were asked to imagine brainstorming in a ftf group, while ftf group participants were asked to imagine brainstorming in a nominal group. Participants were then asked to assess whether they would have generated more or less ideas relative to the amount of ideas that they had just come up with. When ftf group participants were asked to answer using a 9-point scale, “If you were asked to brainstorm in a nominal group (consisting of the same number of people as in your ftf group) on the same problem, do you think you as an individual would have generated more or less ideas (1 = many less, 5 = same amount and 9 = many more)” the mean response was 4.63. This value was significantly lower than the scale midpoint, t (113) = -2.3, p = 0.02, which shows that ftf participants felt that they would be more productive in a ftf group setting. Comparisons between the two ftf group conditions illustrate that mood had no effect on responses to this question (M ftf/neutral = 4.76 and M ftf/negative = 4.52), F (1, 112) = 0.59, p = 0.45. When nominal group participants were asked a similar question using the same scale, “If 89 you were asked to brainstorm in a ftf group (consisting of the same number of people as in your nominal group) on the same problem, do you think you as an individual would have generated more or less ideas?” the mean response was 5.83, which was significantly higher than the scale midpoint, t (116) = 6.39, p < 0.01. Again, comparisons between the two nominal group conditions show that mood did not affect responses to this question (M nominal/control = 5.75 and M nominal/negative = 5.90), F (1, 115) = 0.313, p = 0.58. Overall, these results suggest that even after brainstorming, participants in both group conditions felt they would be more productive in ftf group settings. A 2 X 2 ANOVA was not performed on these measures because nominal and ftf group participants were asked separate questions that were specific only to their group condition, furthermore, the scales that were used could not be transformed to make the responses across group conditions compatible. Extraversion measure. After participants completed the mood induction and their performance assessment measures, they were also asked to complete an extraversion scale. The ten items on this scale were combined to form a composite index of extraversion (some items were recoded so that higher scores were more indicative of being more of an extravert). The median score for this composite measure was 35. Participants were classified as low in extraversion if they scored below 35 (n = 98), while participants were classified as high in extraversion if they scored above 35 (n = 112). Participants who scored 35 (n = 21) were not included in the analyses. Exploratory analyses were conducted to examine whether extraversion, which has been associated with feelings of positivity (Lucas & Fujita, 2000; Church & Burke, 1994), is related to perceptions of satisfaction. Only participants in the neutral mood conditions were used 90 for the following analyses. First of all, participants high in extraversion (M = 2.88) reported feeling more interested than participants low in extraversion (M = 2.44), F (1,99) = 6.37, p = 0.013; more enthusiastic (M high = 2.47, M low = 1.90), F (l, 99) = 6.60, p = 0.01; more alert (M high = 3.36, M low = 2.54), F (1, 30) = 6.72, p = 0.015; and more active (M high 2 2.63, M low = 2.08), F ( 1, 99) = 6.48, p = 0.012. Participants high in extraversion also rated their current mood state as more positive (M = 6.43) compared to participants low in extraversion (M = 5.85), F (1, 30) = 3.48, p = 0.07, however the difference was only marginally significant. When high and low extraverts were compared on scores from the positive PAN AS composite measure, the difference was significant (M high 225.59, M low = 21.66), F (1,99) = 6.10, p = 0.015, thereby replicating previous findings which illustrated the association between extraversion and positivity. Interestingly, high and low extraverts did not differ along any of the negative affect measures. Despite the differences in positivity, high and low extraverts in the neutral mood condition did not differ in ratings of satisfaction (M high = 6.14, M low = 5.70), F (1, 99) = 1.40, p = 0.24. 91 DISCUSSION In this study, as in the previously outlined studies (e. g., Stroebe et al., 1991; Paulus et al., 1993; Nij stad, 2000), nominal groups outperformed ftf groups at the brainstorming task. Also consistent with previous research, participants in the ftf groups felt more satisfied with their personal performance, illustrating that this is quite a robust effect. So why does the illusion occur? There is no direct evidence from this study to suggest mood affects or mediates the relationship between group condition and perceptions of satisfaction. Results did show that nominal group participants did feel more distressed and negative than participants in the ftf group conditions, however satisfaction was not associated with these mood measures. So why was there no support for the mood explanation? One reason may have been because participants did not assess perceptions of performance until approximately five minutes after they completed the mood assessment questionnaire. It is therefore possible that the mild negativity that participants in the nominal groups or negative mood conditions were feeling was no longer potent enough to influence perceptions of performance at the time of judgment. Perhaps, if a manipulation was included to sustain negativity until the time of judgment, distress would be negatively related to satisfaction. So for example, if negative mood inducing music was present when participants in the negative mood condition assessed their performance (and neutral mood inducing music was played for neutral participants), the likelihood that participants in the negative conditions would feel negatively would be increased. In addition, it is quite possible that participants in the negative mood conditions were able to attribute their negative mood to the mood induction task, and therefore did not attribute their feelings of negativity to 92 their brainstorming performance. Again, a more indirect and diffuse mood manipulation (e. g., background music) might provide a test of this possibility. It could also be possible that perceptions of satisfaction are influenced by the mood of participants during the task, rather than during the time of judgment. If we presume that participants feel less negative while they are in a ftf group situation compared to working alone, than this could explain why ftf group members reported feeling more satisfied. Apart from inducing mood after the task rather than during the task, one possible reason the test of mediation did not appear significant could be because the mood was assessed approximately 15 minutes after brainstorming was completed. Therefore, even if nominal participants felt more negative immediately after the task than ftf participants, their negative mood may have diminished or dissipated by the time mood was assessed which would reduce the relationship betWeen satisfaction and negativity. This could be why the test of mediation using only neutral participants failed to reach significance. However, the hypothesis that satisfaction is influenced by mood during the time of the task rather than mood during the time of judgment making would have to be based on the assumption that participants are recalling how they felt while they worked at the task. To be consistent with the pattern of results, this would have to be true unless, participants assess their performance during or immediately after the task and mood influences judgments at that point in time. Then, it would have to be presumed that when participants are later asked to assess their performance, they anchor around the initial assessment that they made right after brainstorming. Because it is possible that participants naturally assess their performance after completing a task, or that they recall how they were feeling, the role of mood state during the task (as well as during the time 93 of judgment) should be explored. This could be done in a study much like the current study if mood was also assessed immediately after the brainstorming session. Could the illusion be driven by positivity amongst interacting group members, rather than negativity by nominal group members? This speculation is unlikely because results of this study show that groups did not differ along measures of positivity, yet, ftf group members still reported feeling more satisfied. Furthermore, participants high in extraversion reported feeling more positive, yet they were no more satisfied with their performance compared to participants low in extraversion. Comments on other eflects and previous explanations Failure to replicate the illusion using the “rate the number of ideas ” measure. Unexpectedly, in this study the four conditions did not differ on the Paulus et al. (1993) measure of, “How would you rate the number of ideas that you as an individual were able to generate?” This was a curious finding because in Paulus et al., ftf group members gave higher ratings on this measure than nominal members. Because the instructions for this study emphasized quantity as a basis for performance evaluation numerous times, it was presumed that in the mind of the participant, satisfaction ratings would be driven by how many ideas the participant came up with. In this study, although the ratings of satisfaction were significantly positively correlated with the “number of ideas generated measure” (Pearson ’s r = 0.48, p = 0.017), in retrospect, it is quite plausible however though, that participants were basing their satisfaction rating on multiple dimensions, or dimensions other than assessments of productivity. For example, despite knowing the instructions, participants may have been basing ratings of satisfaction on not only how many ideas they came up, but also on the perceived quality or creativeness of the ideas 94 generated, or any mood which couldn’t be simply attributed otherwise (e.g., to the mood manipulation). In fact, post-hoe tests of mediation suggest that participants’ ratings of satisfaction were indeed influenced by their assessments of creativity and quality. Since “number of ideas generated” was positively correlated with satisfaction, it is likely that satisfaction ratings were in part driven by perceptions of productivity. So, why were differences between the nominal and ftf group participants present in satisfaction ratings but not in the “number of ideas generated” measure? In agreement with Paulus et al. (1993), it is possible that social comparison processes led to such effects. Recall, participants in both type of work conditions had similar ratings on how many ideas they felt they generated. Therefore as Paulus et al. would suggest, the work condition that participants were in most likely affected how they interpreted these productivity assessments. From observing members in their interactive group, ftf group participants probably reached the conclusion that they performed either similarly to or better than others. This type of conclusion could very well lead to higher ratings of satisfaction. Nominal group participants on the other hand, would have no basis for comparison and would therefore have no information that could serve to bolster their perceptions of satisfaction. So, a social comparison process explanation could explain why there were no differences in the “number of ideas generated” measure while there were differences in satisfaction. However, if one interprets the social comparison explanation as summarized by Ni jstad, then there is no support that shows the illusion effect can be completely explained by social comparison processes because there were no differences between conditions in ratings of how certain participants were of their relative ability level. 95 Another possibility could be that ftf participants in this study gave lower ratings on the “number of ideas” measure due to the operationalization of the fairness/modesty norm proposed by Stroebe et al. (1992). If this is the case, then why didn’t ftf participants in the original Paulus et al. (1993) study also lower their ratings in accordance with such norms? It could be because Paulus et al. used both males and females as participants, while the current study only recruited females. Previous research has shown that women have traditionally been socialized to express positive emotions about the successes of others, while being modest about their own achievements (Stoppard & Gruchy, 1993; Rudman, 1998). So, female participants should be most likely to adhere to such norms. Interestingly, Stroebe et al. (1992) only used female high school students in Germany as participants. Admittedly, it is unclear as to why no differences between groups were found in this study using the Paulus et al. measure (“rate the number of ideas generated”), unless one accepts the operation of a fairness/modesty norm amongst female participants. The illusion effect has been consistently shown across studies only on the satisfaction variable (e. g., Stroebe et al., 1992; Nijstad, 2000; and the current study). In the outlined studies, participants also express a belief that ftf groups would outperform nominal groups, and that they personally would perform better in ftf groups, however this is consistently shown only when asked prior to brainstorming experience. So if anything, what this suggests is that how the illusion is measured may be relevant, and if one decides to test for the illusion effect, for whatever reason it may be more likely to be found with ratings of satisfaction rather than with ratings of the “number of ideas generated,” (particularly if using participants who are socialized to be modest). 96 SIAM. In this study, no support was found for the SIAM explanation proposed by Nijstad (2000). This lack of support should be accepted with some caution however, because the same measures that were used in the N i jstad failures index were not used in this study. The failures index for this study was comprised of two of the original measures, however the third (“Rate how often you had internally generated ideas which had already been mentioned (very often-never)”) was purposefully omitted when the materials for the current were designed. The rationale behind this omission was that it was unclear whether the question was meaningful to nominal participants. In other words, the third question was originally interpreted as meaning, “How often had you internally generated ideas which had already been mentioned by others?” But it is at least possible that the question could be in reference to “mentioned by oneself.” Even though only two of the original three items were included in the failures index, if the SIAM explanation were correct then failures should have still mediated the relationship between group condition and satisfaction, unless the effect of failures all hinged on the third item which was omitted. Regardless of this omission, Nijstad’s hypothesis still does not seem to be the strongest or most predictive explanation available because again, his explanation is only sufficient when examining the illusion effect in idea generation contexts. Misappropriation explanation. The results from the current study replicated many of the original findings of Stroebe et a1 (1992). th group participants compared to nominal participants, claimed a fewer percentage of the group’s ideas were “mentioned by me,” however, reported that a higher percentage of ideas at least occurred to them. Although these results appear to contradict the misappropriation explanation, Stroebe et 97 al. do provide a reasonable hypothesis for why support for the misappropriation explanation cannot be found using “direct” measures. In their defense, Stroebe et al. (1992) argue that: For members of real groups, the main difference between claiming to have suggested an idea and claiming merely to have had that idea without verbalizing it is that the first claim is exclusive and the second is not. Members of real groups who claim to have suggested an idea imply at the same time that other members did not suggest it. Like any distribution task, this type of distribution is likely to be affected by fairness considerations. . .For members of nominal groups, the claim to have verbalized an idea is much less exclusive. These subjects brainstormed individually and can therefore assume that the same idea might have been reported by several members of their nominal group. . .The failure to find an overestimation effect for subjects’ own contribution to the group product for members of real groups is therefore likely to be due to the differential operation of a fairness norm. Whereas members of real groups were restrained from making this claim, members of nominal groups were not. . .Faimess considerations are less relevant to the claim by subjects that an idea suggested by another subject also occurred to them even though they did not verbalize it. . .Thus, when both groups were unrestrained by fairness norms, members of real groups showed a much stronger overestimation effect than members of nominal groups. (pg. 648) So, Stroebe et al. seem to be suggesting that ftf group members are taking sole credit for a fewer percentage of contributions than nominal members because when the same ideas (or even similar ideas) are mentioned by multiple members, ftf group members are more 98 1F reluctant to take credit for the ideas due to normative pressures. Importantly, they also argue that when ftf group members are unrestrained from normative pressures, such as when they are asked to think about how many ideas occurred to them, they overestimate their contributions. Especially because participants in the Stroebe et al. study and the current study were all females, the likelihood of being influenced by fairness norms cannot be ruled out. In addition, several of the results from this study could also indirectly be explained by the differential Operation of fairness/modesty norms. For example, when participants were asked to estimate how many ideas they personally had generated during the brainstorming task, ftf group participants estimated a fewer number of ideas than nominal participants. Negative mood participants also estimated generating more ideas than neutral mood participants. The operation of fairness norms would predict both of these results (the latter would be predicted given that negative mood reduces the likelihood of normative or scripted behavior). Furthermore, no differences between groups were found in this study when using the “rate the number of ideas” measure used by Paulus et al. (1993), despite the fact that Paulus et al. found that ftf group members gave higher ratings than nominal members. The differences between these studies on this measure is difficult to explain unless one incorporates the operation of a fairness norm, and considers the fact that participants in the current study were all female while Paulus’ participants were either male or female. However, the fairness/modesty norm mechanism for the misappropriation BXplanation should be accepted with caution because to date, researchers have not explicitly shown that the norm is in operation in the experiment context. In addition, it 99 must be assumed that a fairness norm would be influential and in operation, despite self- enhancement motives, even when participants know: 1) they will not see their fellow group members again; 2) their fellow group members will not see their responses; and 3) they will not see the experimenter again. Social Comparison. Although the current study cannot rule out the role of social comparison information, this study did find that no differences between groups existed when participants were asked to assess how certain they felt about their ability estimates. This contradicts the implied role of social comparison processes as outlined by Nijstad. However, because Paulus et al. gave no mention to the influence of uncertainty on perceptions of satisfaction, it is still possible that social comparison processes influence performance perceptions, just not via uncertainty in ability leading to lower assessments of performance. Future directions and concluding remarks The results of the current study do not support a mood explanation or unequivocally any of the other previous explanations for the illusion of group productivity. However, the role of mood in generating the illusion of productivity should not be entirely discounted because it seems likely that this effect would exist in contexts other than idea generation tasks. A mood explanation would be a parsimonious theory to explain the effect across contexts, something only a social comparison explanation could do as well (to date). Furthermore, a mood explanation should not be ruled out at this point because the placement of the mood induction may matter, something that has yet to be explored. Future research should attempt to vary the placement of the mood induction (e. g., before or during the task) to examine, for example, if mood during the time of 100 performance is what influences judgments. A study in which the task is varied could also be conducted to explore the relative generalizability of the illusion effect. Results from such a study should shed light on the strength of some of the previously proposed explanations. Post-hoe analyses from this study show that assessments of creativity and quality each partially mediate the relationship between group and satisfaction. These are the first results to date to hint that the illusion may be driven by perceptions along these dimensions. Because people often feel that working in groups stimulates creativity (e.g., Nijstad, 2000), it is possible that participants in ftf groups are reporting more satisfaction because they expect that their ideas will be more creative and of higher quality. Although they are specifically instructed to emphasize productivity (i.e., quantity), it is possible that they are inherently considering quality in their assessments of performance as well. Future research should attempt to better understand the potential role of ratings of quality and creativity towards the illusion effect, and should attempt to investigate whether “illusions of group creativity” exist, and if so, why. Because the misappropriation and social comparison explanations could not be ruled out from the results of the current study, both explanations need to be scrutinized in more detail. One possible method of examining the misappropriation explanation would be do conduct a study using participants who will not be as likely to adhere to fairness/modesty norms (e. g., males), or to manipulate the norms experimentally. If the same pattern of results occur, despite the manipulation of norms (for example), then it would be difficult to accept the misappropriation explanation given that ftf participants 101 take less credit for ideas rather than more credit. This would be especially true if the illusion is found to exist in contexts other than idea generation tasks. A direct test of the social comparison explanation could also be conducted by designing a study in which the level and nature of social comparison information is varied. For example, participants could be asked to work on an electronic brainstorming task. In one condition, participants could be instructed to generate as many ideas as possible while being provided with no social comparison information. In a second condition, participants would work on the same task, however, they would be provided with information on their computer which informs them how many ideas they have come up with, as well as how many ideas others in their session had come up with. The nature of this information could be manipulated such that some participants would learn they were performing much worse than others, some would learn they were performing about equally, while others would learn they were performing much better than others. By manipulating the nature of the information that is provided to participants, we can better attempt to understand how social comparison information might influence perceptions of performance. For example, if providing information, even if it indicates poor performance, leads to higher ratings of satisfaction compared to participants who are given no information, than support for the hypothesis that uncertainty about one’s ability level leads to negative perceptions would be supported. However, if this pattern does not occur, than it must be assumed that providing information alone is not sufficient to lead to illusory perceptions, and that feelings of uncertainty are not what lead people to perceive their performance negatively. One advantage of having participants working individually at the task is that any potential effect of social comparison information can 102 be isolated from any other potential influences that usually reside in group contexts. Therefore, if differences are found, then the implication is that the illusion is driven by the information that is generally gained in group contexts, and not by other factors that may be present while people interact or work in groups. The purpose of this study was to both examine mood as a potential explanation for the illusion effect, and to further test the explanations that have been previously ' offered. The results of this study suggest that mood at the time of judgment is not a t- feasible explanation for the illusion effect. This study also found no support for the failures explanation offered by N ijstad. The social comparison explanation cannot be ruled out, however, it is unlikely that social comparison processes lead to the illusion via the reduction of uncertainty in ability. Similarly, the misappropriation explanation cannot be discounted, however, again there was no direct evidence to support this hypothesis. So, explanations for the illusion of group productivity cannot be offered conclusively from this study, but results'do shed light on what factors are unlikely to explain the effect. Furthermore, the notion that assessments of quality and creativity mediate the illusion effect introduces an optimistic avenue to pursue in the future. There are several interesting findings from the current study that need to be examined in more detail in the future. Returning to the initial question that was posed in the introduction about the nature of groups, why do participants in ftf groups feel less distressed? Participants whose mood was not manipulated (neutral mood participants) felt less distressed and less negative overall after working in a group compared to working alone. Interestingly, participants in ftf groups did not feel more positive, rather they felt less negative. Why? Are these affective differences due to the fulfillment of 103 particular social needs (e. g., need to belong and need for affiliation) or do they result from aspects of the group interaction (e. g., social validation)? Would merely identifying with a group, without social interaction, also decrease negative affect? Why people feel differently when they are in groups compared to being alone is still a fascinating mystery. The current study has in some ways addressed what people feel when they are in groups, and has in some ways addressed how those feelings lead to interesting outcomes. Hopefully in the near future, many of the questions that have been proposed can be answered so that not only a better understanding of group dynamics can be obtained, but also a better understanding of humans as social animals. 104 Appendix A: Experimenter Script Experim enter Script Before the study: 1) set up dividers in room 441 2) check CONDITION SHEET to determine which condition (FTF vs. Nominal) (Negative vs. Control) should be run 3) In rm 441, place consent form 1 and pens in each cubicle. In room 439, place pens and appropriate storytelling instructions in each cubicle 4) label subject number, group number, date and session time on back of each consent form and all of the materials 5) make sure you have pre-measured stacks of index cards After sutiects arrive: I) escort subjects to Rm 441. Ask them to take off their watches and to put them in their pockets or bags. They can leave their coats and belongings on the table next to the door. 2) ask them to have a seat in one of the cubicles, and ask them if they want to participate. If so, ask them to please sign the consent form 3) If only 1 or 2 participants arrive, run them in a nominal condition. Make sure to change all of the labels on their materials, and make sure to make a note in the log book 4) After the consent forms are signed, collect them and put them in the folder labeled “COMPLETED CONSENT FORMS." 5) Tell the participants the following: “Today you will be working on a series of tasks. The tasks that you will be participating in are actually from two unrelated studies. Because each of these studies do not require a lot of time, the experimenters have combined them for the sake of efficiency.” “The first task that you will be working on is an idea generation task. This procedure is commonly known as brainstorming. The purpose of brainstorming is to come up with as many ideas as possible. It is actually quantity, and not quality that is desired in brainstorming tasks. Brainstorming can be conducted in several ways. Some people design brainstorming tasks to be done by nominal groups. Brainstorming in nominal groups is when individuals brainstorm on a given topic in isolation. In other words, the individuals in nominal groups do not see each other or communicate with one another. They simply brainstorm on the topic alone. They are called groups because at the end of the brainstorming session, all of the ideas that are generated by each of the individuals are all added together to form a group product. Ideas that are mentioned multiple times, in other words, by more than one individual, are only counted once. So, the group product for a nominal group is the total number of non-redundant ideas that are generated by all of the individuals who brainstormed in isolation. In nominal groups, combining and improving on ideas that you have already mentioned is encouraged. Again, it is quantity rather than quality which is emphasized. Does anyone have any questions about what a nominal group is or how the product of a nominal group is assessed?” 105 “Brainstorming can also be conducted using face-to-face groups. In FTF group brainstorming, group members are allowed and encouraged to talk and interact with one another. In FTF groups, one member is assigned the role of the recorder. So this person records all of the ideas that are being generated by the group. The recorder is also allowed to generate and contribute ideas, the only difference between the recorder and the other group members is that the recorder has the responsibility of writing down each of the ideas that are mentioned. At the end of the brainstorming session, all of the ideas that are generated by the group are counted up. Ideas that were mentioned more than once are only counted once. Therefore, the group product is the total number of non-redundant ideas that are generated by everyone in the group. In FTF groups, criticism of ideas is prohibited. Just like nominal groups, combining and improving on ideas that are already mentioned is encouraged. Again, it is quantity rather than quality which is emphasized. Does anyone have any questions about what a FTF group is or how the product of a F'I‘F group is assessed?” “If there are no (more) questions at this time, please answer the following questionnaire.” Experimenter passes out “PRE-TASK QUESTIONNAIRE.” When participants complete this form, experimenter collects it and puts it in the folder marked “COMPLETED PRE-TASK Q.” Experimenter starts video camera. “Now you are going to be asked to brainstorm on a given task.” FOR NOMINAL CONDITION: “This study concerns how people brainstorm in nominal conditions. Previously, I defined what a nominal group is. Does anyone have any questions about nominal groups at this time?” Experimenter hands out pre-measured stacks of index cards and large envelope to participants. “1 am handing each of you a set of index cards and a folder. You are to write down one idea per card. You may look over your own cards to combine ideas or to improve on ideas that you already wrote down. When writing your ideas, express them clearly, but do not worry about proper grammar, or writing in complete sentences. When time is up, place all of your completed index cards in the folder. Remember, only write down one idea per card. When I tell you to begin, you will brainstorm on the following topic: Your topic is to think about all of the practical benefits and difficulties that would arise if everyone were to have an extra thumb on each hand. Remember, quantity and not quality is what is emphasized. And, feel free to combine and improve on ideas that you already mentioned. If there are no further questions, you may begin brainstorming now.” Experimenter leaves the room and times for 8 minutes. After eight minutes is up, the experimenter says, “FINISH UP THE IDEA THAT YOU ARE WORKING ON NOW AND THEN STOP” and then 106 collects each of the folders which contains the index cards. Collect the folders from left to right so that it is possible to track which subject came up with which set of ideas. Place the folders down in order. FOR FTF CONDITION: “This study concerns how people brainstorm in FTF group conditions. Previously, I defined what a FTF group is. Does anyone have any questions about FTF groups at this time?” Experimenter removes the barriers and hands out a stack of index cards and a large envelope to the participant sitting in the middle. To the participant in the middle: “You have randomly been chosen to be the group recorder. It is your responsibility to write down all of the ideas that are generated by your group. You may also contribute ideas, but remember, it is ultimately your responsibility to record the ideas from your group. You are to write down one idea per card. You all may look over the cards to combine ideas or to improve on ideas. You may also communicate with one another during the task. When writing your ideas, express them clearly, but do not worry about proper grammar, or writing in complete sentences. When time is up, place all of your completed index cards in the folder. Remember, only write down one idea per card. When I tell you to begin, you will brainstorm on the following topic: Your topic is to think about all of the practical benefits and difficulties that would arise if everyone were to have an extra thumb on each hand. Remember, quantity and not quality is what is emphasized. Criticism of ideas is prohibited. And, feel free to combine and improve on ideas that you already mentioned. If there are no further questions, you may begin brainstorming now.” Experimenter leaves the room and times for 8 minutes. After eight minutes is up, the experimenter says, “FINISH UP THE IDEA THAT YOU ARE WORKING ON NOW AND THEN STOP” and then collects each of the folders which contains the index cards. ALL CONDITIONS: Experimenter stops the video camera. “Now, you will be working on another short task. This task is part of another study which we have agreed to run, so please look over and sign the following consent form for this next task.” Experimenter hands out Consent form 2. Waits for participants to sign it, and then collects it and puts it in the envelope labeled Completed Consent forms. When all consent forms are completed, experimenter says, “Ok, now we will move on to the next study, so please come with me at this time.” Experimenter escorts participants to room 439. Assigns one participant to each cubicle (and one in the hallway). Directions for appropriate condition of STORYTELLING EXERCISE should be in place. 107 Experimenter says to all participants: “In front of you, there should be a sheet of paper. Please read all of the instructions on the sheet of paper, and follow the directions. When you are done reading the instructions, you may begin working at the task.” Experimenter times for 9 minutes. During this 9 minute period, experimenter goes back and labels the index cards. For the FTF group, an index card with the subject numbers and session time is put on the top of the set of ideas. A rubber band is put on the stack of ideas, with the subject number label on top, and then the ideas are put into the folder labeled “INDEX CARDS.” For the nominal group, a separate subject label card which includes the subject number and session time, is attached to each set of cards. The experimenter also puts the dividers in room 441 back up. After the nine minute period, the experimenter goes to room 439 with an empty folder labeled “COMPLETED ST” and collects the storytelling forms. Do not look over the forms, or it may make the participants feel awkward. When all of the forms are collected, the experimenter asks the participants to fill out the mood assessment questionnaire. After the mood assessment questionnaire is complete, the experimenter collects them and puts them in the folder labeled “MA” and then asks the participants to come back to room 441 and asks them to sit where they sat before. The experimenter then says the following: “OK, now I’d like you to switch gears and take some time to think about the first brainstorming task that you all previously completed. Close your eyes, take a deep breath, and think about how you performed at the task. Keep reflecting on your experience until I tell you to stop.” Experimenter leaves the room and comes back after 2 minutes. When the 2 minute period is up, experimenter hands out the final questionnaire packet which includes, the performance assessment form, the global beliefs form, the extraversion measure, and then the manipulation check. After handing out the packet, experimenter says, “While answering the following questionnaires, please do not interact or communicate with one another.” After participants all finish, the experimenter collects the forms, and then says the following: “In the near future, you will be sent an e mail message concerning this study. The subject heading will be labeled, “MSU Psychology Study.” This message will contain a very quick survey, which should take no longer than two minutes to complete. When you get this message, please take the time to answer the survey and send it back electronically. When all of the data is collected, one participant will be randomly chosen to win 50 dollars. Only participants who send back the survey will be eligible, so please make sure we have your e mail address, which should be on your consent form, and please make sure you send back the message after it is sent to you.” Experimenter hands out the debriefing form and gives participants credit. 108 Appendix B: Pre-task Questionnaire Imagine that the President of the University would like a council of students to generate ways to increase student satisfaction concerning campus life. Imagine that you, along with a select number of other students are asked to come up with as many ideas as possible. 1) Which type of group is more likely to generate the most ideas? (place a check in the space provided to indicate your answer) nominal group: _ : _ : _ : _ : _ : _ : _ : _ : _:face-to-face neither 2) How confident are you in your answer? (please circle a number) 1 = not at all confident 2 3 4 5 6 7 8 9 = extremely confident 3) In which type of group would you personally generate more ideas? (place a check in the space provided to indicate your answer) nominal group: _ : _ : _ : _ : _ : _ : _ : _ : _:face-to-face neither 4) How confident are you in your answer? (please circle a number) 1 = not at all confident 2 3 4 5 6 7 8 9 = extremely confident 5) In which type of group would you prefer to work in? (place a check in the space provided to indicate your answer) 109 nominal group: _ : _ : _ : _ : _ : _ : _ : _ : _:face-to-face neither 6) Please explain why you chose your answer for the previous question? 7) How do you think you personally, relative to other students at MSU, would perform at the brainstorming task under nominal group conditions (e.g., working individually and then adding up your performance with the performance of all of the others’ in your nominal group) 1 = not well at all 2 3 4 5 6 7 8 9 = extremely well 8) If you were given 10 minutes to complete the brainstorming task, how many ideas would you, personally, come up with under nominal group conditions? 1 = not many ideas at all 2 3 4 5 6 7 8 9 = very many ideas 9) Out of the total number of non-redundant ideas from a nominal group (e.g., all of the ideas suggested, counting ideas mentioned more than once ONLY once), what percentage do you think would be suggested by you? 10) Out of the total number of non-redundant ideas from a nominal group, what percentage do you think would be suggested by others, and would not have occurred to you? 110 11) Under nominal group conditions, what percentage of the total ideas from all group members do you think would be redundant (mentioned more than once)? 12) How do you think you personally, relative to other students at MSU, would perform at the task under face-to-face group conditions? (please circle a number) 1 = not well at all 2 3 4 5 6 7 8 9 = extremely well 13) If you were given 10 minutes to complete the brainstorming task, how many ideas would you, personally, come up with under face-to-face group conditions? 1 = not many ideas at all 2 3 4 5 6 7 8 9 = very many ideas 14) Out of the total number of non-redundant ideas from a face-to-face group (e.g., all of the ideas suggested, counting ideas mentioned more than once ONLY once), what percentage do you think would be suggested by you? 15) Out of the total number of non-redundant ideas from a face-to-face group, what percentage do you think would be suggested by others (and not mentioned by you), but would have also occurred to you? 16) Out of the total number of non-redundant ideas from a face-to-face group, what percentage do you think would be suggested by others, and would not have occurred to you? 17) Under face—to-face group conditions, what percentage of the total ideas from all group members do you think would be redundant (mentioned more than once)? lll Appendix C: Mood Induction Instructions Neutral instructions: The Department of Psychology is currently developing a questionnaire to assess life events in a systematic and reliable manner. In order to construct this questionnaire, we need to first collect a large sample of positive, negative, and neutral life events from which to choose appropriate materials. So at this time, we would like you to recall, re-experience, and write about the mundane (or everyday) events of the previous day. In other words, write about the normal, everyday events that occurred yesterday. The events that you describe should not be particularly positive or negative, but rather neutral. For example, you may choose to write about going to class, or going to the store to buy groceries. Please take a moment now to think about the events that you will describe. Because no one except for the experimenter will read your description, and because your description will not be matched with your personal identity in any way, we would appreciate it if you would answer as truthfully as possible. Please use as much space (including the back of the paper) as you feel necessary, and write as neatly as possible. You will have about ten minutes to complete this task. You may begin now. Negative instructions: The Department of Psychology is currently developing a questionnaire to assess life events in a systematic and reliable manner. In order to construct this questionnaire, we need to first collect a large sample of positive and negative life events from which to choose appropriate materials. So at this time, we would like you to recall, re-experience, and write about a personal life event that made you particularly sad. Please take a moment now to think about the sad life event that you will describe. When you write about the life event, think about how you felt at the time of the event, and please try to focus on concrete and vivid aspects of the event rather than on an abstract or objective assessment of it. Because we are interested in collecting in-depth information, please include in your account, how the event happened to come about. Because no one except for the experimenter will read your description, and because your description will not be matched with your personal identity in any way, we would appreciate it if you would answer as truthfully as possible. Please use as much space (including the back of the paper) as you feel necessary, and write as neatly as possible. You will have about ten minutes to complete this task. You may begin now. 112 Appendix D: Mood Assessment (PANAS) We would like you to please answer the following questions. No one besides the experimenter will see your answers, so please answer as honestly as possible. The following scale consists of a number of words that describe different feelings and emotions. Read each item and then mark the appropriate answer in the space next to that word. Indicate to what extent you feel this way right now, that is, at the present moment. Use the following scale to record your answers. 1 = very slightly or not at all 2 = a little 3 = moderately 4 = quite a bit 5 = extremely _interested __irritable _distressed _alert _excited _ashamed _upset _inspired _strong _nervous _guilty _determined _scared _attentive _hostile __jittery _enthusiastic _active _proud _afraid Now, please answer the following questions using the following 1-9 point scales: Please rate your current mood state 1: very negative 5=neutral 9=very positive 113 Appendix E: Post-Brainstorming Task Questionnaire (Nominal Version) The following questions concern the Brainstorming Task (the “thumbs” problem) that you previously completed: 1) Using a 1 to 9 scale, please indicate how satisfied you are with your performance at the Brainstorming Task? (circle a number) 1 = not at all satisfied 2 3 4 5 6 7 8 9 = extremely satisfied 2) Please explain why you chose your answer for question #1. 3) Using a 1 to 9 scale, please rate the number of ideas you as an individual were able to generate. I was able to generate: (circle a number) 1: very few ideas 2 3 4 5 6 7 8 9 = very many ideas 4) In the space provided, please indicate how many uses you think you as an individual generated during the Brainstorming Task? (open-ended) 114 5) If you had been asked to brainstorm in a face-to-face group (consisting of the same number of people as in your nominal group) on the same problem, do you think you as an individual would have generated more or less ideas? I would have generated: (circle a number) 1: many less ideas = the same amount of ideas OO\IO\UI-hb-IN 9 = many more ideas 6) On a brainstorming task, which type of group do you think would come up with more ideas? (circle a number) 1: nominal group would come up with many more ideas 2 3 4 5 = both groups would come up with the same amount of ideas 6 7 8 9 = face-to-face group would come up with many more ideas 7) Out of the total number of non-redundant ideas from your nominal group (e. g., all of the ideas suggested, counting ideas mentioned more than once ONLY once), what percentage do you think were suggested by you? 8) Out of the total number of non-redundant ideas from your nominal group, what percentage do you think were suggested by others, and would not have occurred to you? 9) How much effort did you put into the brainstorming task? (circle a number) 1: no much at all 2 3 4 5 6 7 8 9 = very much 115 10) How much pressure did you feel to come up with ideas? (circle a number) 1: not much at all 2 3 4 5 6 7 8 9 11) How difficult was it to concentrate while trying to generate new ideas? (circle a number) 1: not difficult at all 2 3 4 5 6 7 8 9 = very difficult 12) How do you think you personally, relative to other students at MSU, performed at the brainstorming task? (circle a number) 1: not well at all 2 3 4 5 6 7 8 9 = extremely well 13) How certain are you of your answer (to the previous question)? 1: not certain at all 2 3 4 5 6 7 8 9 = extremely certain ll6 14) How much did you enjoy the Brainstorming task? (circle a number) 1: not much at all 2 3 4 5 6 7 8 9 = enjoyed very much 15) During the brainstorming task, how difficult was it to generate ideas? (circle a number) = not at all difficult l 2 3 4 5 6 7 8 9 = extremely difficult 16) During the brainstorming task, how often were you unable to come up with a new idea? 1: not very often 2 3 4 5 6 7 8 9 = very often 17) How creative do you think your ideas were from the Brainstorming Task? (circle a number) 1: not creative at all 2 3 4 5 6 7 8 9 = extremely creative 117 18) How you feel about the quality of your ideas from the Brainstorming task? (circle a number) 1: very poor quality 2 3 4 5 6 7 8 9 = extremely high quality 19) If you had been asked to brainstorm in a face-to-face group (consisting of the same number of people as in your face-to-face group) on the same problem, do you think you as an individual would have generated better or worse quality ideas? I would have generated: (circle a number) = much worse quality ideas 1 2 3 4 5 - the same quality ideas 6 7 8 9 = much better quality ideas 20) Relative to other students at MSU, how well do you think you performed at the Brainstorming Task? I expect that I performed better than of the students. a) 10-19% b) 20-29% c) 30-39% (1) 40-49% e) 50-59% 1) 60-69% g) 70-79% h) 80-89% 1) 90-99% j) 100% (I performed better than any other MSU student) 21) How motivated were you to perform well during the brainstorming task? 1: not at all motivated 2 3 4 5 6 7 8 9 = extremely motivated 118 Appendix F: Group Beliefs Questionnaire This questionnaire is designed to assess people’s general working styles and preferences. The term “interactive group” (also known as a face-to-face group) which you will see below, refers to a group in which the members talk and interact with one another. The term “nominal group” refers to a group in which members work individually and do not communicate. The group product for a nominal group is generated by summing up all of the individual contributions from the nominal group members. Please take your time and answer every question. Thank you. 1) When it comes to brainstorming (i.e., generating ideas), interactive groups (also known as face—to-face groups) generate more ideas than nominal groups (where members work individually and whose individual products are added together). (circle a number) 1 2 3 4 5 6 7 8 9 I disagree completely (1) I agree completely (9) 2) How confident are you in your answer (to the previous question)? (circle a number) 1 2 3 4 5 6 7 8 9 not at all confident (l) extremely confident(9) 3) If I worked on a brainstorming task (i.e., the thumbs problem) in an interactive groap, I would probably produce ideas in a 5 minute period. (Fill in the blank) 4) Excluding myself, the average member of my interactive group would probably produce ideas in a 5 minute period. (Fill in the blank) 5) If I worked on a brainstonning task (i.e., the thumbs problem) in a nominal ggoup, I would probably produce ideas in a 5 minute period. (Fill in the blank) 6) Excluding myself, the average member of my nominal group would probably produce ideas in a 5 minute period. (Fill in the blank) 7) Regardless of the nature of the task, I am generally more satisfied with my personal performance when I work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group(9) 119 8) For problem-solving tasks, I am more satisfied with my personal performance when I work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 9) For most types of tasks, interactive groups are more likely to do a better job than nominal groups. (circle a number) 1 2 3 4 5 6 7 8 9 I disagree completely (1) I agree completely (9) 10) I feel anxious when working with other people. (circle a number) 1 2 3 4 5 6 7 8 9 I disagree completely (1) I agree completely (9) 11) If the task is important to me, I generally prefer to work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 12) If the task is important to me, I generally do a better job when I work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 13) If the task is apt important to me. I generally prefer to work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 14) If the task is apt important to me, I generally do a better job when I work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 15) I enjoy myself more when I work 1 2 3 4 5 6 7 8 9 alone (1) in an interactive group (9) 120 16) In general, 1 am more creative when I work 1 2 3 4 alone (1) 121 8 9 in an interactive group (9) Appendix G: Extroversion Measure On the following pages, there are phrases describing people's behaviors. Please use the rating scale below to describe how accurately each statement describes you. Describe yourself as you generally are now, not as you wish to be in the future. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are, and roughly your same age. So that you can describe yourself in an honest manner, your responses will be kept in absolute confidence. Please read each statement carefully, and then in the space provide, write in an answer that corresponds to the number on the scale. Response Options : Very Inaccurate : Moderately Inaccurate : Neither Inaccurate nor Accurate : Moderately Accurate : Very Accurate UlhbJNt-t 1. __ Am the life of the party. 2. __ Don’t talka lot. 3. __ Feel comfortable around people. 4. __ Keep in the background. 5. _ Start conversations. 6. __ Have little to say. 7. _ Talk to a lot of different people at parties. 8. __ Don’t like to draw attention to myself. 9. _ Don’t mind being the center of attention. 10. __ Am quiet around strangers. 122 Appendix H: Manipulation Check Today you took part in several tasks. 1) Was there anflhing unusual about the first part of the study (where you brainstormed)? If so, please explain in detail. 2) Was there anflhing unusual about the second part of the study (where you wrote about a life experience)? If so, please explain in detail. 3) What do you think was the purpose of this study? 123 Table 1 Appendix 1: Condition means Mean Ratings of Upset (Group level) By Condition Condition n Mean Rating SE Nom-neutral 19 1 .53 0. l4 Nom-negati ve 20 2.32 0. 18 th-neutral 18 1.17 0.08 th-negative 20 2.32 0.18 Table 2 Mean Ratings of Distress By Condition Condition n Mean Rating SE Nom-neutral 57 1.95 0.15 Nom-negative 60 2.40 0. 16 th-neutral 54 1.50 0.12 th—negative 60 2.25 0. 15 Table 3 Mean Number of Nonredundant Ideas Generated By Condition Condition n Ideas per group SE Nom-neutral 19 38.00 1.91 Nom—negative 20 38.80 1.87 th—neutral 1 8 22.00 1 .97 th—negative 20 24. 10 1 .86 124 Table 4 Mean Ratings of Personal Performance Satisfaction By Condition Condition n Mean Rating SE Nom-neutral 57 5.54 0.23 Nom-negative 60 5.25 0.23 th-neutral 54 6.24 0.24 th—negative 60 6.03 0.23 Table 5 Mean Ratings of Number of Ideas Generated By Condition Condition n Mean Rating SE Nom-neutral 57 5.49 0.23 Nom-negative 60 5.68 0.22 th-neutral 54 5.52 0.24 th-negative 60 5.63 0.22 Table 6 Mean Ratings of Personal Performance Satisfaction After 2 Weeks Condition n Mean Rating SE N om-neutral 31 5.52 0.28 Nom-negative 30 5.40 0.32 th-neutral 24 5.67 0.35 th-negative 33 6.12 0.34 125 Table 7 Perceived Ability Relative to Other MS U Students Condition 11 Mean Rating SE Nom-neutral 57 5.47 0. 17 Nom-negative 60 5.30 0. 17 th-neutral 54 5 .70 0.18 th-negative 60 5.56 0.17 Table 8 Certainty Ratings For Perceived Ability Condition n Mean Rating SE Nom-neutral 57 5.54 0.26 Nom-negative 60 5.57 0.26 th—neutral 54 5.44 0.27 th-negative 60 5.88 0.27 Table 9 Two-item Failures Index Scores Condition n Mean Rating SE Nom-neutral 57 10.60 0.42 Nom-negative 60 10.90 0.41 th—neutral 54 10.48 0.43 th—negative 60 10.24 0.41 126 Table 10 Percentage of Ideas Thought of By Me and Mentioned by Me Condition n Mn PerceLtage SE Nom-neutral 3 1 43 .39 2.00 Nom-negative 30 43.14 2.15 th-neutral 24 35.69 2.89 th-negative 33 37 .29 3.14 Table 11 Percentage of Ideas Thought of By Others and Did Not Occur to Me Condition n Meapr Percentage SE Nom-neutral 3 1 44.95 2.07 N om-negative 30 44.37 2.66 th—neutral 24 37.77 3.60 th-negative 33 36.27 3.41 Table 12 Percentage of Ideas Mentioned By Others But Also Occurred to Me Condition n Mean Percentage SE Nom-neutral 31 12.99 1.87 Nom-negative 30 1 1.05 1.76 th—neutral 24 26.36 3.20 th-negative 33 24.93 2. 80 127 Table 13 Estimated Number of Ideas Personally Generated (Open-Ended) Condition n Mean Number SE Nom-neutral 55 l 1 .56 0.89 Nom-negative 59 12.71 1.07 th-neutral 52 6.92 0.50 th—negative 59 8.71 0.61 Table 14 Actual Number of Ideas Personally Generated Condition n Mean Number SE Nom-neutral 57 14.02 0.56 N om-negative 60 13.82 0.68 th—neutral 54 7.28 0.49 th—negative 60 8 .02 0.51 Table 15 Actual Number of Ideas Generated Subtracted From Estimated Condition n Mean Number SE N om-neutral 55 -2.38 0.78 N om-negative 59 -1. 14 0.90 th—neutral 52 -0.35 0.51 th-negative 59 0.68 0.54 128 References Baron, R. 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