I. ‘ 'g . 'I ”"7195“ ---"III n‘n' ' . .Ir (“flag ",I‘ "IILEJ‘fi‘ .. I. ”HI I “‘11.“. ““1 1 N I. "I 'J I in; l. I» I. .. L' . :I‘Iqll; II'IIJI? I'LL'”: .II ’Iilz‘j' "I' ,‘I-4) of the measure of intrinsic task satisfaction was .77. Means and Standard Deviations Means and standard deviations for the four dependent variables are presented below. The mean performance results for the five experimental conditions are presented in Table 10. In general, performance appeared to steadily improve across the six trials in most of the experimental conditions. The only exception to this generalization was the performance of the individuals in Condition #5 (decreasing frequency of feedback) whose average performance decreased on the sixth and final trial. The mean performance results are presented graphically in Figure 4. As can be seen in Figure 4, mean performance on the sixth trial was lowest in Condition #5 (28.73 correct problem solutions) and highest in Condition #2 (36.53 correct problem solutions). As Figure 4 illustrates, there did appear to be a slight learning-effect with increasing experience on the task. T-tests comparing performance on the firSt trial with performance on the sixth trial were performed for each experimental condition in order to test for this learning effect. All of the resulting T-values were significant (see Table 11). The means and standard deviations for the measure of personal control are presented in Table 12. In this table, an increasing numeric value indicates an increasing perception of personal control. These results are illustrated in Figure 5. Inspection of Figure 5 indicates that perceptions of personal control appeared to change 44 Table 10 Means and Standard Deviations for Performance Across Trials Trial Experimental Condition 1 2 3 4 5 6 l 29.13 31.06 31.81 32.13 32.88 33.88 (7.8) (7.9) (8.0) (7.5) (9.1) (8.6) 2 30.00 31.00 34.00 34.67 35.13 36.53 (7.8) (7.7) (8.6) (7.3) (8.4) (9.1) 3 28.06 31.00 31.88 32.13 32.13 34.00 (8.3) (8.7) (8.5) (7.8) (7.8) (8.7) 4 29.20 31.13 32.27 33.13 33.73 34.07 (6.4) (6.0) (6.8) (6.4) (5.9) . (5.2) 5 23.13 25.87 27.73 28.80 29.33 28.73 (6.7) (5.9) (5.6) (5.8) (5.3) (5.5) Total Samp1e 27.92 30.04 31.55 32.17 32.64 33.46 (7.7) (7.5) (7.7) (7.1) (7.5) (7.9) 45 37 <——-Condition 2 36 35 34 33 32 31 3O 29 28 27 26 25 Condition 4 /°<'—Condition 3 e——Condition l ‘,rCondition 5 24 23 22 Trial Figure 4. Mean performance by frequency of feedback condition across trials Table 11 46 Results of T-tests for Learning Effect Across Feedback Conditions Condition N Trial 6 Trial 1 T l 16 33.88 29.13 3.13** 2 15 36.53 30.00 4.94*** 3 16 34.00 28.06 5.49*** 4 15 34.07 29.20 6.99*** 5 15 28.73 23.13 3.31** Total 77 33.46 27.92 9.83*** * p < .05 ** p < .01 *‘k'k p < .001 47’ Table 12 Means and Standard Deviations for the Personal Control Scale by Frequency of Feedback Condition Trial Experimental Condition 2 4 6 l 20.56 20.25 19.56 (5.2) (5.0) (6.6) 2 22.47 22.53 22.33 (3.1) (2.9) (3.9) 3 21.31 21.75 22.13 (2.6) (4.2) (3.5) 4 22.73 22.53 22.47 (3.2) (3.7) (3.1) 5 21.60 22.40 23.00 (4.1) (2.4) (2.2) Total 21.74 21.87 21.87 (3.8) (3.8) (4.3) 48 24 “(Condition 5 O 23 3:. __ O(Condition 4 22 _____ o“‘Condition 2 o-— ——---0""' '\ ° Condition 3 21 20 o._____________LL~—~_‘-——_‘——O¢/Condition 1 19 18 2 4 6 Trial Figure 5. Mean perception of personal control by frequency of feedback condition 49 very little from the time of trial 2 to trial 6. Participants in Condition #5 (decreasing frequency of feedback condition) reported perceiving the greatest amount of personal control following the sixth trial (23.0) and participants in Condition #1 (feedback at the end of the trial only) on the average perceived that they had the least amount of personal control (19.6). Only the persons in Condition #1 appeared to differ from the other conditions in their perceptions of personal control. The means and standard deviations for the external control scale are presented in Table 13 and are presented graphically in Figure 6. Again, an increasing number in Table 13 indicates an increasing perception of external control. Following the sixth trial, mean perceptions of external control were greatest in Condition #5 (13.0; decreasing frequency condition) and least in Condition #1 (8.81; feedback at the end of the trial only). Inspection of Figure 6 reveals that only participants in Condition #1 appeared to differ to any significant extent in their perceptions of external control. Perceptions of intrinsic task satisfaction were measured by items on the final questionnaire given at the end of the experiment. The resulting means and standard deviations for each experimental condition are presented in Table 14. Once again, increasing satisfaction with the task is indicated by an increasing numeric value in Table 14. On the average, subjects in Condition #2 (feedback at the middle and end of each trial) reported feeling the greatest amount of satisfaction with the task (X = 30.0). Persons Table 13 Means and Standard Deviations for the External Control Scale by Frequency of Feedback Condition Trial Experimental Condition 2 4 1 8.44 9.63 8.81 (3.1) (3.8) (2.9) 2 12.93 12.80 12.73 (2.1) (2.5) (3.5) 3 12.69 11.75 12.25 (3.2) (3.8) (4.0) 4 11.13 12.07 12.07 (2.9) (2.6) (3.2) 5 11.73 12.40 13.00 (4.1) (3.5) (4.2) Total 11.36 11.70 11.74 (3.5) (3.4) (3.8) Table 14 Means and Standard Deviations for Intrinsic Task Satisfaction Scale by Frequency of Feedback Condition Experimental Condition l 2 4 Total X 27.19 30.00 29.13 28.60 S.D. (5.9) (5.5) (5.8) (5.2) 51 14 13 ezz’Condition 5 BIT‘ I 4_._—————"'° Condition 2 ‘\L T ”jg/Condition 3 12 :x‘ ,Ir’“ —-°~'-—— Condition 4 ’/ ‘0» O/ ll 10 9 o/°\9....condition l 8 2 4 6 Trial Figure 6. Mean perception of external control by frequency of feedback condition in the baseline condition (Condition #1) were the least satisfied of the experimental groups (X = 27.19). Test of Hypotheses Analysis of variance. To test the hypotheses of the experiment, two types of analyses were performed. The first of these analyses pertained to the effects of the different experimental conditions on perception of control, task performance, and intrinsic task satisfaction. Two types of analysis of variance were performed. First, a multivariate analysis of variance or MANOVA (Hull & Nie, 1981) was performed using a 5 (feedback conditions) x 3 (repeated measures) design. The measures of personal control and external control collected following the second, fourth, and sixth trials 52 were entered into the MANOVA as dependent variables. Performance (measured by the number of correct problem solutions) for the second, fourth, and sixth trials was also included as a dependent variable in the MANOVA. Because intrinsic task satisfaction was measured only once and because this measurement was separate from the other dependent variables, intrinsic task satisfaction was not included as a dependent variable in the overall MANOVA. Use of MANOVA was based on the assumption that the dependent variables would be moderately intercorrelated. This assumption proved to be justified. Table 15 presents the correlation coefficients for the four dependent variables. The correlations appearing in Table 15 were calculated based on performance during the sixth trial and subjects' perceptions following the sixth trial. Of these four dependent variables, only intrinsic task satisfaction was not included in the overall MANOVA. Table 15 Intercorrelation of the Dependent Variables Variables l 2 3 4 1. Personal control - 2. External control .37** - 3. Performance .27* .07 - 4. Satisfaction .29* .03 .29* - * p < .05 ** p < .01 53 The results of the MANOVA are presented in Table 16. While the multivariate tests for trials and the interaction of feedback condition by trials proved to be nonsignificant, the main effect of feedback condition was significant using Wilks multivariate test of significance (@ F = 5.42, 12 df, p < .001). As the next step of the analysis process, a series of univariate ANOVAs were calculated. The first hypothesis was that frequency of feedback beyond the "desired" level for the task would affect the feedback recipient's perception of control. Univariate F-tests for feedback condition were significant for both the measures of personal control (F = 3.16, p < .015) and external control (F = 9.94, p < .001). As was anticipated from . inspection of Figure 5 illustrating the results for personal control and Figure 6 for perception of external control, post-hoc contrasts showed that persons in Condition #1 (feedback at the end of the trial only) perceived that they had significantly less personal control and external control during the experiment (see Table 17). The second hypothesis was that increasing the frequency with which feedback was given would have a positive effect on task performance. The univariate F-test for feedback condition was significant for task performance (F = 4.73, p < .001). Post-hoc contrasts supported the earlier inspection of mean performance in that performance in Condition #5 (decreasing feedback frequency) proved to be significantly lower than performance in the other four feedback conditions (see Table 18). No a priori hypothesis was made concerning the effect of frequency of feedback on intrinsic task satisfaction. The measure of intrinsic Table 16 54 Multivariate and Univariate Tests of Significance for the Personal Control, External Control, and Performance Measures Multivariate AnalySTs of Variance Using Wilks Multivariate Test of Significance ‘Approx. Hyp. Sign. Effect Value F df of F Condition .750 5.42 12 .001 Trials .961 1.44 6 NS Condition x Trials .971 .27 24 NS Univariate Analysis of Variance for Frequency of Feedback Condition Dependent THyp. Error Sign. of Variable SS SS F F Performance 1023.07 11680.72 4.73 .001 Personal control 193.55 3311.46 3.16 .015 External control 449.50 2441.96 9.94 .001 with (4,216) df 55 Table 17 Results of Post-Hoc Contrasts Between Feedback Conditions for the Personal Control and External Control Scales Personal Control Scale Condition 1 Strd. Sign. of vs. Condition: Coeff. Error T-value T 2 2.319 .812 2.85 .01 1.604 .799 2.01 .05 4 2.453 .812 3.02 .01 5 2.208 .812 2.72 .01 (using simple contrasts) TExternal Control Scale Condition 1 Strd: Sign. of vs. Condition: Coeff. Error T-value T 2 3.864 .698 5.54 .001 3.271 .686 4.77 .001 4 2.797 .698 4.01 .001 5 3.419 .698 4.90 .001 (using simple contrasts) Table 18 56 Results of Post-Hoc Contrasts Between Feedback Conditions for Performance Condition 5 Strd. Sign. of vs. Condition: Coeff. Error T-value T 1 4.554 1.526 2.98 .003 2 6.267 1.550 4.04 .001 3 4.575 1.526 3.00 .01 4 4.978 1.550 3.21 .01 (using simple contrasts) task satisfaction was analyzed using a one-way analysis of variance (ANOVA) SPSS program (Nie, Hull, Jenkins, Steinbrenner, & Bent, 1975) with frequency of feedback condition as the sole independent variable. The results of this ANOVA proved to be nonsignificant (F = 0.632, NS). These results are presented in Table 19. Table 19 Univariate Analysis of Variance Results for Intrinsic Task Satisfaction Scale Sign. Source df SS MS F of F Condition 4 70.48 17.62 .632 NS Error 72 2008.04 27.89 Totals 76 2078.52 57 Correlational Results. The final stage of the data analysis was to conduct a correlational analysis to examine the relationship between the feedback recipients' perceptions of control and the outcome variables of task performance and intrinsic task satisfaction. As the final step in this part of the data analysis, a series of exploratory path analyses were performed in order to gather preliminary data on the potential causal links between these variables. The intercorrelations between these variables were previously presented as Table 15. For the purposes of the correlational analysis, the personal and external control variables in Table 15 refer to the measures of personal control and external control that appeared on the questionnaire completed by participants following the sixth trial. Similarly, “performance" refers to participants' perfbrmance on the sixth trial. The third hypothesis of the present experiment was that there would be a positive relationship between perception of external control and task performance. This hypothesis was not supported. The correlation between participants' perception of external control and their task performance was not significant (r = .07, NS). In contrast, the fourth hypothesis that participants' perception of personal control would be positively related to task performance did receive support in the major experiment. Subjects' perceptions of personal control were significantly related to their task performance (r = .27, p < .05). The fifth and sixth hypotheses of the present study involved the expected relationship between feedback recipients' perceptions of personal control and external control and the outcome variable 58 of intrinsic task satisfaction. The fifth hypothesis was that participants' perceptions of external control would be negatively related to their satisfaction with the task. This hypothesis was not supported by the results of the major experiment. The correlation between perception of external control and intrinsic task satisfaction was not significant at the .05 level (r = .03, NS). The sixth hypothesis pertained to the expected positive relationship between participants' perceptions of personal control and intrinsic task satisfaction. The correlation between perception of personal control and intrinsic task satisfaction was significant (r = .29, p < .05), so the sixth hypothesis was supported. One issue that caused confusion in predicting how increasing frequency of feedback would affect the outcome variables was the relationship between perception of external control and perception of personal control. In the present study, these two types of perception of control were positively related (r = .37, p < .01). However, some caution should be used in generalizing from this finding. Common method variance may explain both the magnitude and direction of the relationship that was found between perceptions of personal and external control. The final step in the correlational analysis stage was to conduct a series of exploratory path analyses. Path analyses were conducted using the path analysis routine from PACKAGE (Hunter, Gerbing, Cohen, & Nicol, 1980). Prior to entering the intercorrelations into the path analysis program, the correlations between the dependent variables were corrected for attenuation due to unreliability in the measure. These corrected correlation coefficients appear as Table 20. 59 Table 20 Intercorrelation of the Dependent Variables After Correction for Attenuation Variables 1 2 3 4 —l 0 Personal control - 2 External control .53 - 3. Performance .29 .09 - 4 Satisfaction .36 .05 .33 - Frequency of feedback condition was dummy-coded so that it could be included in the path analyses and allow for a more complete test of the updated model of the feedback process. The resulting correlations between frequency of feedback condition and each of the four dependent variables are presented in the upper portion of Table 21. As can be seen from the values presented in the Table, the size of the correlations between frequency of feedback conditions and perceptions of personal and external control were generally low. The path coefficients for the five frequency of feedback conditions and the results of the path analyses for each condition are also presented in Table 21. The two "best" path models in terms of minimizing the sum of squared deviations are presented as Figure 7. Both of these models exhibit a direct relationship between personal control, performance, and task satisfaction. The only difference between the two models is the position of the performance and 60 Table 21 Correlations, Path Coefficients, and Results of the Path Analyses for Frequency of Feedback Conditions a Frequency of Feedback Conditions 2 3 4 5 Correlations Personal control -.28 .05 .03 .07 .13 External control -.39 .13 .07 .04 .16 Performance .03 .19 .04 .04 -.3O Satisfaction -.14 .13 -.05 .05 .01 Path Coefficientsb Personal control -.28 .05 .03 .07 .13 External control -.27 .10 .05 .Ol .09 Results Sum of Squared Deviations .04 .07 .03 .03 .14 a = For Condition 1, the path coefficient for the link between personal and external control was .46 rather than .53. b = Values for path coefficients and for the sum of squared deviations were identical for Model A and Model B. 61 Model A * .20 Feedback -------------- -+ Personal -------------- -+-Performance Condition Control L, : “\‘3’5 A25 ‘x 1 \I .’ . * ‘~.‘ .53 : Task Satisfaction s“ + “4 External Control W * Feedback -------------- -+ Personal ----=g§---+-Task Satisfaction Conditiop Control‘ 29 ,1” “~~ ' ~‘s: ’l”025 ‘~.“ E ‘~9Performance * ‘sss““ .53i ‘\ External Control fjggrg_z, Exploratory path models * = Values for these path coefficients are presented in Table 21. 62 intrinsic task satisfaction variables. In other words, some ambiguity remains following the path analyses as to the nature of the relationship between these two outcome variables. In addition, both of the models virtually ignore the external control variable. Only the perception of control variable appears to have any significant impact on the external control variable. The data do not allow for an unequivocal decision as to which of these two models best represents the "true" relationship between the dependent variables. DISCUSSION Overview The discussion is divided into several sections. The first section discusses the implications of the results of the major experiment for the hypotheses of the study. The next section deals with the limitations of the major experiment. This is followed by a section dealing with implications of the present experiment for future studies. The discussion section concludes by examining the implications of the present study for feedback research in general. Implications of Results for Major Hypotheses The first hypothesis for the major experiment was that increasing the frequency of feedback beyond the "desired" level for a task would affect the feedback recipient's perceptions of control. Both perceived external and personal control were measured in the major experiment. The first hypothesis was supported for both measures of perceived control. The univariate ANOVA reported that there was a significant main effect for the frequency of feedback condition on perceptions of both external and personal control. In addition, Corollary A stated that increasing the frequency of feedback beyond the desired level would result in an increasing perception of external control on the part of the feedback recipient. This 63 64 corollary received partial support in the results of the major study. The first preliminary study established that, in general, people performing the Number Facility Task preferred to receive a minimal amount of feedback (usually once per trial). In Condition #1 of the major experiment, the participant received feedback about his or her performance only at the end of each trial. The results of the post-hoc contrasts showed that persons in Condition #1 reported perceiving significantly less external control than persons in the other four frequency of feedback conditions. However, a glance at Figure 5 reveals that increasing violation of the "desired" level for feedback frequency did not translate into a linear increase in perception of external control. The results for the measure of personal control show that persons who received feedback at the "desired" frequency level perceived that they had significantly 1e§§.personal control than did individuals who received more frequent feedback. The measures of personal control and external control that were used in the major experiment had a relatively high positive intercorrelation (r = +.37, p < .05; corrected for unreliability, r = +.53). The second hypothesis was that increasing frequency of feedback levels would lead to increases in task performance. This hypothesis received some support in the major experiment. The univariate ANOVA reported that there was a significant main effect for frequency of feedback condition for performance. However, mean performance was not highest in the condition that received the most frequent feedback (Condition #3). Instead, the highest average performance was found in the group that received feedback only twice per trial 65 (Condition #2). It is possible that the more frequent feedback messages in Condition #3 interfered with subjects' concentration on the task. This potential problem with frequent feedback messages was cited by several of the participants in the first preliminary study as the reason for their low level of "desired" feedback while a trial was in progress. In addition, significantly lower performance was found in the condition in which feedback frequency was reduced as the experiment progressed (Condition #5). The third hypothesis was that there would be a positive relationship between perceptions of external control and performance on the task. This hypothesis was based on the assumption that the demand characteristics of the laboratory situation would increase compliance with external attempts to control the participant's behavior. This hypothesis was not supported by the results of the major experiment. The correlation between perception of external control and performance was in the correct direction but was not significantly different from zero (r = .07, NS). The fourth hypothesis was that there would be a positive relationship between perception of personal control and task performance. This hypothesis was supported by the results of the major experiment. The correlation between personal control and performance was significantly different from zero (r = .27, p < .05). This supports the findings of Fisher (1978) that personal control is positively related to performance. The fifth hypothesis dealt with the relationship between perception of external control and intrinsic task satisfaction. 66 Based on Cognitive Evaluation Theory (Deci, 1975) and Mossholder's (1980) arguments about the relationship between measures of intrinsic motivation and measures of task satisfaction, the fifth hypothesis proposed that persons who thought that they were being externally controlled should have reported less satisfaction with the task. This did not prove to be the case in the major experiment. Participants' perceptions of external control were not significantly correlated with their perceived task satisfaction (r = .03, NS). The final hypothesis concerned the relationship between perception of personal control and intrinsic task satisfaction. Again based on the arguments of Deci (1975) and Mossholder (1980), the sixth hypothesis for the major experiment was that there would be a positive relationship between participants' perceptions of personal control and their intrinsic satisfaction with the task. The results of the major experiment supported this hypothesis. There was a significant positive correlation between perceived personal control and the intrinsic task satisfaction scale (r = .29, p < .05). Limitations of the Study There are a number of limitations to the generalizability of the present study. The first such limitation is the type of task used. While addition problems possessed a number of desirable characteristics for the theoretical purposes of the present study, the external validity of any of the results of the study are limited by the use of such a task. Future studies examining the effects of feedback dimensions on the various process and outcome variables might wish to employ tasks which more closely simulate tasks that are performed in the regular work environment (e.g., data entry or judgemental tasks). 67 A second limitation of the study was that only one of the three proposed process variables (informational, motivational, and perception of control) was actually measured during the course of the experiment. As a result, one must resort to subjective observation of the way that people reacted during the experiment in order to infer whether or not the feedback messages impacted on the other two process variables in addition to affecting perception of control. Based on this type of informal observation of participants' behavior, it can be argued that some of the decline in performance in Condition #5 was due to a lack of information and/or a decline in motivation to perform the mundane task. There is little doubt on the part of this experimenter that the feedback messages were having either a motivational or an informational effect on many of the participants in the experiment. Many of these persons seemed to "get into" the competitive aspects of the task by using the previous trial's performance as a self-set goal and using the feedback messages during the next trial as a means of monitoring performance in relation to that goal. However, it is impossible to tell from these informal observations whether the feedback message itself was motivating these individuals or was simply serving to inform them about their performance in relation to a self- set specific goal (see Locke et al., 1981). A third limitation of the present study involves the measures of personal control, external control, and task satisfaction. Even though there was some amount of change in participants' perceptions of control during the course of the experiment, the true purposes of the questionnaires may have been perceived by the participants. One would also expect to find that the correlations between these three variables were inflated to a certain extent due to common method bias. 68 However, while this explanation might account fbr part of the moderate correlation between the measures of perception of personal control and external control (r = .37), it does not account for the fact that the external control measure was not significantly related to the measure of intrinsic task satisfaction (r = .03) while the personal control measure had a moderate correlation (r = .30) with the measure of task satisfaction. The relatively low level of internal consistency—for the external control measure may also have seriously affected the size of any intercorrelation between this variable and the other dependent variables. Implications for Future Studies Frequency of feedback did not have the expected effect on perceptions of external control. However, Ilgen et al.'s (1979) argument that frequency of feedback would increase perception of external control was based on the assumption that, in an industrial setting, monitoring of performance would have to be increased in order to increase frequency of feedback. This change in the level of monitoring of behavior did not occur in the present experiment. Monitoring of behavior was constant in all of the frequency of feedback conditions. Future experiments which alter the level of surveillance in addition to frequency of feedback might find more support for a relationship between frequency of feedback and perception of external control. Previous researchers have tended to assume that an increase in perceived external control would result in a decrease in perceived personal control. However, the measures of personal and external control used in the present study were positively correlated with one 69 another (r = .37). This finding has two potential implications for the measurement of perception of control. First, the size and direction of the intercorrelation between the measures of perceived personal and external control suggests the possibility of combining these two scales into a single measure of the construct of perceived control. If, however, personal control and external control represent separate constructs, then more effort is required to develop better measures of these constructs. This suggests that more effort needs to be placed on validating the constructs and measures of perceived personal control and perceived external control. Future studies are also needed that examine the effects of withdrawing feedback. The post-hoc contrasts confirmed that perfbrmance was significantly worse in the condition in which feedback decreased in frequency during the course of the experiment (Condition #5). In addition, this feedback condition was the only one in which performance declined rather than increased on the final trial. An article by Salmoni, Schmidt, and Walter (1984) suggests that the difference between performance on a task when feedback from an external source is present and when it is withdrawn represents a measure of learning for the task. According to Salmoni et a1. (1984), if external feedback is given too frequently, the individual may not learn the informational cues that are provided by the task itself. These findings highlight the need to more closely examine the impact of withdrawal of feedback on recipients' perceptions and performance. Salmoni et a1. (1984) argue that experiments which use external feedback should include a minimal feedback condition in order to monitor the "true" level of learning and performance for the task. 70 In the case of the present experiment, this would suggest the addition of a seventh trial in which all participants received feedback at only the end of the trial. In the future, studies should also attempt to include measures of all three of the process variables shown in Figure 2 (i.e., informational, motivational, and controlling). For example, in a recent study using addition problems, Matsui, Okada, and Osamu (1983) suggested that feedback may only have motivational or controlling effects for persons who are not making adequate progress towards some goal. Matsui et a1. (1983) measured motivation by asking subjects how hard they intended to work on the second half of a trial based upon their first half performance. This study illustrates one rather simple method of operationalizing the motivational process variable. It might be possible to measure the informational process variable in a similar manner by asking participants to respond to simple objective questions regarding their performance both at the middle and end of one or more trials. For example, subjects in the present experiment might have been asked whether their performance on the present trial was worse than, the same, or better than their performance at the same point in the previous trial. Understanding of the outcomes of the present experiment would have been increased if data had been collected on the informational and motivational value of the feedback. Without this information, one was forced to rely on subjective impressions gathered during the course of running subjects rather than on hard data. However, it should be kept in mind that the present study represents the first attempt to directly measure the effects of frequency of feedback on the process variable of perception of control. 71 Studies which examine the effects of the other dimensions of feedback on specific process variables might also prove fruitful. The updated model of the feedback process presented in Figure 2 can act as an aid in generating testable hypotheses involving the other dimensions of feedback. For example, the dimensions of prescriptiveness and evaluativeness might be perceived as either informational or externally controlling by a feedback recipient. The quantity of feedback that is received at one time might be expected to affect the informational value of feedback. Using the model provided in Figure 2, future studies should attempt to evaluate which dimensions of feedback have the greatest impact on the process variables. The effects of the "desired" frequency of feedback level on perceptions of personal and external control are worthy of future study. Persons in the "desired" frequency of feedback condition (Condition #1) reported perceiving low levels of both personal and external control. The reasons for the low level of perceived personal control in this condition merit closer attention. Implications for Feedback in General The major implication of the study is that changes in the dimensions of feedback may have effects on perceptions of control. This supports the notion that we can increase our understanding of how feedback affects outcome variables by studying intervening perceptual process variables. How the feedback message is perceived ultimately determines its impact. The significant correlations that were found between perception of personal control and the measures of 72 performance and intrinsic task satisfaction support the merits of the inclusion of perceptual variables in studying the effects of feedback on performance. However, this may not be a one-way process. To a certain extent people who are able to perform well on a task may feel that they have more personal control than do lesser performers. The effects of the frequency of feedback conditions on performance did not support the notion that more feedback is always better. In this case, the group that received slightly more feedback than was originally desired (i.e., two times per trial) proved to have the best performance. As was noted previously, this effect may be due to the amount of interference that the more frequent messages caused. However, persons in the conditions in which frequency of feedback changed during the course of the experiment had two trials in which they too only received feedback twice for each trial. In neither of these conditions did the mean performance on these two trials increase to any dramatic extent. Therefore, the interference explanation should be treated with some caution. Finally, Larson (1984) has suggested that researchers should also examine the effects of givigg_feedback on the perceptions of the feedback ggurgg, According to Larson (1984), regardless of the effect that a feedback message may have on the perceptions of subordinates, the act of providing feedback alone may increase supervisors' perceptions of power and control over those subordinates. These perceptions may have future behavioral implications for both the supervisor and the subordinate. APPENDICES APPENDIX A 73 APPENDIX A Personal Control Items The amount of effort that I put in determined how well I performed on this set of problems. The number of problems that I finished in this set was primarily the result of my own ability. How hard I tried determined how well I performed on this set of problems. How hard I concentrated on the task determined the number of problems that I was able to complete in this set. External Control Items *4. *5. The number of problems that I finished in this set was affected by the difficulty level of the items. The number of problems that I completed was affected by the number of outside distractions. In comparison with the previous problems, the problems in this set seemed a little harder. It seemed that I had little control over how many problems I finished in this set. The luck of the draw played a role in how well I did on this problem set. These items were later excluded due to reliability problems APPENDIX B 74 APPENDIX B l ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Very Dissatisfied Neutral Satisfied Very Dis- I Satisfied satisfied REACTION l. This is how I would describe the feelings of 1' accomplishment that I got from the task. 2. This is how I feel about the chance to do something that made use of my math abilities. 3. This is how I feel about the amount of competition that was present in the task. 4. How satisfied were you about working with the task itself? 5. To what degree do you think that this task was interesting? 1 ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Very Interesting Neutral Boring Very Inter- Boring esting 6. How much did you enjoy working on this task? 1 ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Strongly Disliked Neutral Enjoyable Very Dis- Enjoyable liked APPENDIX C 75 APPENDIX C Results of Factor Analysis with Oblique Rotation Structure Matrix Factors Items l 2 3 l .78 .24 -.27 2 .57 .36 -.45 3 .86 .25 -.26 4 .70 .37 -.02 5 .43 .97 -.lO 6 .09 .38 .l5 7 .09 .23 .l5 8 -.32 -.06 .40 9 -.04 .19 .56 Eigenvalues 2.68 .92 .55 Pct. of Var. 64.6 22.2 13.2 Note. Item order corresponds to the order in which the items appear in Appendix A. APPENDIX D (Supplemental Materials) 76 APPENDIX D Outline of Experimental Procedures Before subject arrives: 1. Plug in adapter for the calculator and make sure that the calculator is working. Make sure that there is plenty of scrap paper. Have problem sets arranged in order from A to H. Also, make sure that each set starts with card number 1 (ex. A-l). Get a new informed consent form and place on the table where the subject will sit. From the shelves, get 3 copies of the problem questionnaire and 1 copy of the final questionnaire. In the upper right-hand corner of the final questionnaire, write the future subject's subject number. In the upper right-hand corner of the problem questionnaire, write the future subject's number ang_what problem set the questionnaire will be given after. For example, for subject number 2, the questionnaire that will be given following the 4th problem set should be coded as 2-4. Remember,hproblem set questionnaires are to be given following the completion of the second, fourth, and sixth problem sets (A.K.A. trials). 50, before subject number 2 arrives, you would write 2-2 on one copy of the problem set questionnaire, 2-4 on another, and 2-6 on the third copy. Look at the sheet entitled "Assignment of Subjects to Conditions." Find the condition under which the upcoming subject's number is listed. That will tell you which data collection sheet you need. 77 For example, subject number 1 is in condition 2, so you would get a sheet labeled "Data Collection Sheet 2." The data collection sheet itself helps tell you how often you should give feedback in that condition. Make sure that you write the subject's number in the space provided at the top of the data collection sheet. After subject arrives: l. 2. Ask the subject to read but not sign the infbrmed consent form. Read the instructions from page T of the instructions sheet to the subject. At the appropriate time (cued at the end of the instructions), ask the subject to sign the informed consent form. Then collect the consent form and place it on the appropriate pile on the shelves. Give the subject the practice problems. Before the subject starts on a problem set: a) record which problem set (A-H) the subject is working on in the space provided on the data collection sheet. b) get the proper "correct answer sheet" (A-H) ready. c) cut the start of the problem set deck so that the subject is starting with a problem between l and 20 but not with numbers l, 5, l0, l5, or 20. d) give the subject about 30 seconds warning before the start of each trial. Subjects have 4 minutes to do as many problems as they can. When the subject writes down a problem solution, check the answer with your answer sheet. Use the calculator to keep 10. ll. 12. I3. 78 track of the number correct. Make a slash mark in the appropriate space when the subject gets a problem wrong. WHEN GIVING FEEDBACK ALWAYS SAY "X CORRECT IN V MINUTES." If the subject asks about the number he/she got wrong, tell him/her that you will be willing to discuss that at the gflg_ of the experiment. Cross off the time numbers on the data collection sheet to help you keep track of time passed within the trial. At the end of a trial, write the total number correct in the space provided. NOTE: the total correct should always equal the number right after 4 minutes. To give the subject a short break between trials, sort the problem set cards back into their proper order after the subject has finished the problem set. This also helps to cut turnaround time between subjects. Before you give the first problem questionnaire, read the instructions for the problem set questionnaires on page 2 of the instructions sheet to the subject. Always make sure that you have the questionnaire that is coded to be given after the just-completed trial. When giving the problem set questionnaire for the second and third time, simply remind the subject that the questionnaire is attempting to get his/her reaction to the problem set which he/she has just completed. REMEMBER: give the problem set questionnaires AEI§3_the subject has completed the second, fourth, and sixth trials. 00 NOT STARE AT A SUBJECT WHILE HE/SHE IS FILLING OUT ANY OF THE QUESTIONNAIRES. 14. 15. 79 Give the final questionnaire after the subject has finished filling out the problem set questionnaire for trial 6. Before giving the final questionnaire, read the instructions for the final questionnaire (p. 2 of the instructions sheet) to the subject. After the subject has completed the final questionnaire, read the statement listed under "Debriefing" (p. 2 of the instruction sheet) to the subject and attempt to answer any questions that the subject may have about the experiment. After subject leaves: 1. Place the completed data collection sheet, problem set questionnaires, and final questionnaire in their proper folders. Cross off the subject's number from the sheet entitled "Assignment of Subjects to Conditions." Throw away the used scrap paper. Prepare the necessary materials for the next subject. Even if this was the last subject of the day, getting everything set up will make it easier to get started the next day. NOTE: 80 Instructions Read the following instructions after the participant has read the consent form and prior to their signing the consent form: In this experiment you will be asked to solve several sets of addition problems. The problems are written on 3 x 5 cards (show cards). Your task is to write the solution to a given problem on those small blank pieces of paper (show scrap paper). You are not allowed to make any marks on the 3 x 5 cards themselves but you are allowed to make any kind of mark that you desire on the scrap paper. After writing down your solution, we ask that you place the answer paper somewhere in the center of the table so that I can read it. You will then continue on with the next problem. I will check your answers and keep track of your total number correct for each set of problems. From time to time, I will also give you feedback about how you are doing. Please work as fast and as accurately as you can. You will have a time limit of four minutes for each set of problems. It is important that you remember that the trial is not over until I say "Time!" We will be doing a total of six problem sets. I will also be asking you to fill out two different types of questionnaires. One type will be given after every other problem set and attempts to get your reactions to that problem set. After a short break we will then continue on with the next set of problems. The second type of questionnaire will be given at the end of the experiment and attempts to get your reactions to the task as a whole. Do you have any questions regarding Bl the task? (Answer questions) If not, I would ask you to sign the consent form now. (after collecting signed consent form) We will begin with some practice problems. These are not checked and you can do as many of them or as few of them as you like. (after practice problems) Please pick a letter between A and H. After second problem set: I now ask you to fill out this short questionnaire. Remember that the items on this questionnaire attempt to get your reactions to this problem set. (give shgrt break after finish filling our questionnaire) 1 now ask you to fill out this final questionnaire. Remember that the items on this questionnaire attempt to get your reactions to the task as a whole. DEBRIEFING This experiment is attempting to study the effects of feedback on performance on a mundane task and on people's perceptions of that task. Several recent theories have suggested that one way to increase motivation and performance is to increase the amount of feedback that is given to the worker. We are attempting to see if this is true and also examine some possible side-effects this increase in feedback might have. Do you have any questions? 82 - Data Collect 8 set Subject lumber: Condition 30.: l Qiiiiiiiiiiiiiiiiiiifififii{iiiiiiiiQGQOGQ§OO§§§IGOOGQOOGOQQOGQIfiiiiifiiii§ilii 1. Problem Set: lo Questionnaire Iron W[; a;;er ] ninutes fine 1 2 3 4 total Correct: seeeeeeeeeeeeeeseeeeeeeeeeeeeeeeeeseeseesseeeeesseeeeeeeeassesses373335.ees 2. Problem Set: Cive Questionnaire vro ML; a;;er ] minutes Pine 1 2 3 4 total Correct: eseeeeeeeeeeeeeeeseeeeeeeeeeeeseeeassesaeeeesseeeeesseeeeeaeeeesetifiizieeea 3. Problem Set: lo Questionnaire Iron Mel; a;;e er 1 minutes Time 1 2 3 A total Correct: easesassesseseuseseesaeeeeseeeseeseeeeseeeeeeeeeeseeeeseseeeeeesefifiifi=beeee 4. Problem Set: Give Questionnaire """ Iron I rith a;;e r 1 minutes Time 1 2 3 4 total Correct: easesaserases«noseeaseesseeeeeeeeeeeeeeeeeeeeeeeeeeeeseeeeseseeeeiTTETieeas 5. Problem Set: lo Questionnaire fight a ter minutes time 1 2 3 4 total Correct: .OOOOOCC{GOOOQOQGOOQ9‘}..0.0C95......OOOOOOOfiiifiiiffiifiiiOffiiiifi§ififi§§§§Oifii 6. 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Problem Set: Cive Questionnaire! - Lime 1: I ri t a er n nutes I ri a er m nutes Time 1 2 3 4 total Correct: iiiiiififiiiiii#§§§§§§*§ifififiI§Q§§§GOC§§iiiiiifiifiiiiiiifiiifii§§§§§§§§§§§§§{COGi 5. Problem Set: lo Questionnaire! I vggng I ri Lt‘ifter 2 :Inutes I rig er nutes 8 time 1 2 3 total Correct: Offififiiifiiiiiiiiil§Q§§§§§§§iiiiifiififfifififiiififififiiOi9!.QGGG‘§§O§O§§OQG§GQOOlOOi 6. Problem Set: Give Questionnaire! 1 wrong I ri lt‘after 2 minutes I ri a er nutes 8 Time 1 2 3 total Correct: l: l: 84 Data Collection Sheet} Subject lumber: Condition lo. : a ****§}§*l§§§§§§§§ fiiifififiiiiiiiliiiiiifiifiifiiiiC!!!§§§§§§§§§§ifiiifiiiifiiiiii§ 1. Problem Set: lo Questionnaire! I wrong I right a or 1 2 I gr 3 I L;; a;;er 4 min. - min. min. min. Time 1 2 3 4 Total Correct: z!iiiiiiiliGOGQOQOG§§§§§§O§§i§Q5.00iiifiiiiiifiififiifiifififiiii§§O§§§ii§5§§§§§§G 2. Problem Set:* Give Questionnaire (wrong I right —lterI 1 r g a ter 2 I£; 3E; a;;er 3 I L; 3;; a;ter 4 min. min. min. min. 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Problem Set: Give Questionnaire I wrong minutes Time 1 2 3 4 Total Correct: 87 Problem Set Questionnaire INSTRUCTIONS. Please give your reactions on the following set of statements as they apply to the set of problems which you have just completed. Please use the following scale to answer statements l thru 9: l ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Strongly Disagree Mildly Neutral Mildly Agree Strongly Disagree Disagree Agree Agree T REACTION l. The amount of effort that I put in determined how well I performed on this set of problems. 2. The number of problems that I finished in this set was affected by the difficulty level of the items. 3. The number of problems that I finished in this set was primarily the result of my own ability. 4. How hard I tried really determined how well I performed on this set of problems. 5. The number of problems that I completed was affected by the number of outside distractions. 6. In comparison with the previous problems, the problems in this set seemed a little harder. 7. How hard I concentrated on the task determined the number of problems that I was able to complete in this set. 8. It seemed that I had little control over how many problems I finished in this set. 9. The luck of the draw played a role in how well I did on this problem set. i 88 Final Questionnaire INSTRUCTIONS. Please give your reactions to the following set of statements as they apply to the task as a whole. Please use the following scale to answer items 1 thru 4: l ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Very Dissatisfied Neutral Satisfied Very Dissatisfied Satisfied REACTION l. This is how I would describe the feelings of accomplish- 1' ment that I got from the task. 2. This is how I feel about the chance to do something that made use of my math abilities. 3. This is how I feel about the amount of competition that was present in the task. 4. How satisfied were you about working with the task itself? On items 5 and 6, please place a check over the number that best describes your reaction. 5. To what degree do you think that this task was interesting? l ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Very Interesting Neutral Boring Very Interesting , Boring 6. How much did you enjoy working on this task? l ---------- 2 ---------- 3 ---------- 4 ---------- 5 ---------- 6 ---------- 7 Strongly Disliked Neutral Enjoyable Very Disliked Enjoyable 89 In relation to the last set of problems that I did, I would have liked to have been told how I was doing on the set of problems: more often. at about the same rate. less often. Did you feel that the experimenter was trying to increase your performance from one trial to the next? a) not at all b) C) d) only a little bit he was trying to increase my performance he was making an obvious effort to increase my performance If you answered b, c, or d above, how did you react to this influence attempt? I tried to increase the number of problems that I did across the trials. I felt that it was more important to work at my own pace rather than the experimenter's pace. I specifically tried to keep my performance at about the same level across the six tables. I tried to increase the number of problems that I did and didn't worry about errors. I tried to decrease the number of problems that I attempted. other (please explain) 10. ll. l2. l3. 90 If I had a choice, the best rate at which I would have been given feedback about my performance would have been: _____at the end of the experiment only. _____after each problem set. _____;at the middle and at the end of each problem set. _____several times during the problem set. other (please explain) The frequency of information about my performance on the last set of problems, as compared with the first set of problems, was given: less often. at the same rate. more often. How often were you given information about your performance on the first problem set? How often were you given infOrmation about your performance on the last problem set? How many problems did you get correct on: Set l? Set 4? Set 2? Set 5? Set 3? Set 6? (If you can't remember, please give your best guess.) 9l Consent Form The behaviors necessary and the task involved in this experiment have been explained to me.’ Any questions I might have about the task, including any inherent risk involved, have been answered to my satisfaction. The experiment should require approximately one hour to complete. My participation in the experiment is voluntary. While my participation will provide me with extra class credit in my psychology course, a decision not to participate will not affect my present course grade. I understand that all results of my performance will be treated with strict confidence and that all participants' performance records will remain anonymous. Within these restrictions, the final results of the experiment will be made available to me upon written request. I understand that I will be fully debriefed at the conclusion of the experiment. Any questions I have that arise during the experiment will be answered at that time. I have read and understand the above statement. I will consent to participate in this experiment without waiving my right to discontinue my participation in the experiment at any time without recrimination. Signature of stodent REFERENCES REFERENCES Amnons, R.B. (1956). Effects of knowledge of performance: A survey and tentative theoretical formulation. Journal of General Psychology, 54, 279-299. Annett, J. (1969). Feedback and human behavior. Baltimore, MD: Penguin Books. Annett, J., & Kay, H. (1957). Knowledge of results and skilled performance. Occupational Psychology, 31, 69-79. Arnold, H.J. (1976). Effects of performance feedback and extrinsic reward upon‘high intrinsic motivation. Organizational Behavior and Human Performance, 11, 275-288. Ashford, S.J., & Cummings, L.L. (1984). Feedback as an individual resource: Personal strategies of creating information. Organizational Behavior and Human Performance, in press. Bilodeau, I.M. (1966). Information feedback. In E.A. 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