.‘__. fig. ‘\‘,‘.‘._.‘..1......7.,.-~..:. ‘ A .-..«~o-—umfi-.\ . .-.. I .. .. . “can-.. '; ...'. {3&1 . ““9. L.< ... HILT. ~ . ' \ . ‘.~ m-.. ,. Willi/3W ‘3 I 1” ,/ //I///I I; P. This is to certify that the dissertation entitled Argumentative Subsumption: A Test of a COgnitive Schema For Argumentative Discourse presented by Paul James Mineo has been accepted towards fulfillment of the requirements for Ph.D. , Communication degreem Date 4%,":7' la [99/ MS U is an Affirmative Action/Equal Opportunity Institution 0- 12771 LIBRARY Michigan State ' University PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before due due. DATE DUE DATE DUE DATE DUE l MSU In An Affinnetlve Action/Equal Opportunity Institution cumulus-gt ARGUMENTATIVE SUBSUMPTION: A TEST OF A COGNITIVE SCHEMA FOR ARGUMENTATIVE DISCOURSE By Paul James Mineo A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Communication 1991 ABSTRACT ARGUMENTATIVE SUBSUMPTION: A TEST OF A COGNITIVE SCHEMA FOR ARGUMENTATIVE DISCOURSE By Paul James Mineo A general methodology, described as functional and psycholinguistic, is presented for theoretically formulating and empirically validating cognitive schemata for use in explaining the production and comprehension of argumentative discourse. The method is contrasted with previous methods for describing the structure of arguments in ordinary language. Two studies are reported in which the method is used in an attempt to empirically validate a proposed schema referred to as Argumentative Subsumption. In the first study, the conditions were created by crossing three types of argument conforming to the general schema (causal reasoning, sign reasoning and the fallacy of accident), two types of complex argument structure (coordination and subordination), and two levels of text cues indicating argument structure (high cues and low cues). Subjects listened to audio-taped passages of the stimulus arguments spoken in naturalistic language, and produced reconstructions of the arguments immediately after hearing them. Conformity to the proposed schema was measured as proportion of match between proposed schema and subject protocols. The second study repeated the conditions of the first but subjects were simply asked to recall the passages and conformity to the proposed schema was measured as proportion of schema-relevant vs schema-irrelevant information retained. The pattern of results were the same for both studies: (1) conformity to the proposed schema was greatest for sign reasoning; (2) there was no difference in conformity to schema due to text cues; (3) there was greater conformity to schema for coordinate arguments than for subordinate arguments, but only in the case of sign reasoning. ACKNOWLEDGMENTS I would like to thank Dr. Michael Burgoon for having the wisdom to know that the best way to guide and motivate me through this project was to leave me pretty much alone ——Dr. Judy Burgoon and Dr. Joseph Hanna for the discipline inspired by the thought of their reading this dissertation —G.R. Miller for reaffirming my belief that the strength of one’s convictions gives one the security to be fair-minded with respect to the convictions of others —Kirsten Bech, a student volunteer, for her help with this project at its inception much too long ago —Sandra Starnaman, both for mundane assistance and extraordinary inspiration —my friends Mike Allen, Dave D'Alessio, Mark Hamilton and Brian Patterson for believing in me, whether they understood me or not —and especially Maureen, for believing in me despite understanding me...and for weaving, unweaving and reweaving the tapestry. iv TABLE OF CONTENTS List of Tables ............................................. List of Figures ............................................ Introduction: Problem and Background ........................ A Comprehensive Schema for A Natural Language Organon . . . . More specific schemata: Argument types ................ Motivation for positing AS ............................ The Extent and Limitations of Current Research .............. Research on inference processes in general and psycholinguistic inferences in particular ................ Logic and attitude change research .................... Argumentation research from a speech-act perspective Theoretical Implications ................................. Importance for communication theory .................. Importance for rhetorical theory ....................... Importance for theory of logic ......................... Methodology ........................................... Independent Variables: Controlling the Form of Stimulus Arguments ................. Propositional links .................................. Argument types .................................... Macrostructures .................................... Apology ........................................... 00 H 8829.836 Measuring Match Between Subject Protocols and Schema ....... Criteria for match between protocols and schema ......... Coding of subject protocols ............................ Covariates ............................................. Design ................................................ Study I ............................................ Study II ........................................... Hypotheses ............................................ Study I ............................................ Study II ........................................... Method .................................................. Subjects ................................................. Materials ................................................ Procedures ............................................... Results .................................................. Study I ............................................... Study II .............................................. Discussion ............................................... Appendix ................................................ List of References .......................................... vi 3288 SSSSSES‘wtfififiehtfi 838391 57 7O LIST OF TABLES Table Page 1. Analysis of Variance, Study I ........................ 55 2 Analysis of Variance, Study II ....................... 3. Table of Means, Study I ............................. 4 Table of Means, Study II ............................ 688% vii LIST OF FIGURES Figure Page 1. Macrostructure Examples .......................... 37 viii Introduction: Problem and Background The purpose of this project is to begin a systematic investigation of the system of argumentation schemata or natural language organon employed by ordinary language users in producing, comprehending and evaluating argumentative discourse. There is no assumption that this organon is the same for all language users. Rather, it is assumed that the organon for each language user is learned in the process of acquiring competence in argumentation, and that, therefore, there would be individual differences in argumentation habits, just as there are with respect to any acquired set of basic language skills. Nevertheless, since argumentation is for the most part a cooperative endeavor, it seems likely that speakers in a language community would acquire and employ similar organa, that the simplest schemata would be shared by all language users, with more elaborate schemata being employed in more formal discourse or by better educated individuals. In these respects, a natural language organon is parallel with the grammar of a natural language. It is a set of conventions used by language users with varying degrees of competence, the most basic conventions being shared by the greatest number of speakers of the language. Indeed, the natural language organon is the pragmatics of argumentative discourse. Neither is the assumption made that the natural language organon is logically correct, in the sense of a logical system grounded by reference to philosophical criteria of validity and soundness. It seems likely that schemata philosophers regard as fallacies would be learned in the same way as those regarded as logically correct, so that fallacious reasoning would often be indistinguishable from good reasoning for the untrained 1 2 arguer. The fact that good reasoning and fallacies are often indistinguishable to the untrained is precisely why fallacies must be identified in logic textbooks and classrooms. Cultures, subcultures, ideological groups, cognitive styles, personality types, etc., may be marked by preferences for types of argument that standard textbooks regard as fallacious. An investigation of this kind has never been carried out consistently and intentionally. The reasons for this, elaborated below, may be stated briefly as follows: researchers in the fields of communication, argumentation and logic who are most familiar with the structure of arguments and argumentative discourse seem not to be interested in validating the models they propose by means of empirical studies aimed at determining whether those models reflect cognitive schemata used in processing arguments. On the other hand, researchers with a cognitive orientation have typically borrowed the models they have investigated from the field of logic, that is, models that have been developed to satisfy prescriptive, epistemological criteria and which are elaborated in the form of artificial languages (J ohnson-Laird, 1983, ch. 2). Given the aims of formal logic, it is unreasonable to assume that one might find an easy match between logical systems and the systems governing mundane argumentation occurring in natural language. Researchers using a cognitive approach to argumentation must start somewhere, however, if not merely by adopting the models provided by logicians. It should be profitable to begin by proposing a theory of the functions of argumentative discourse and construct models of argumentative logic that are capable of fulfilling these functions. In doing this, one should keep in mind the contributions and, no less important, the 3 limitations of descriptive, naturalistic accounts of argumentation. OttO‘I‘j ' c-_._fo 1"-1 21'4.-".,'-!0.! There is an argument schema that appears fundamental to the functions of argumentation and ubiquitous with respect to descriptions of argumentative discourse, but which has not been empirically validated using the methodology proposed here. For convenience this schema will be referred to as Argumentative Subsumption (AS) and Toulmin’s terminology (“warrant”, “data” and “claim”) is adopted to refer to the constituent functional elements of AS. The schema specifies a relationship that is analogous to (but not necessarily identical with) that which is identified in Toulmin’s model of argument by the relationship between warrant and data (“grounds”) (Toulmin, Rieke & J anik, 1984, p. 45). The schema is also analogous to the pattern in traditional syllogistic logic most clearly represented in the Barbara syllogism between major premise and minor premises and in propositional logic between the premises of modus ponens and in cognitive psychology as the process in which a general rule is applied to a new instance. Also worth noting here is the attempt of traditional logicians to define the so-called “Rule of Syllogism.” H. W. B. Joseph (1916) gives it as “Anything that satisfies the condition of a rule falls under the rule .” The claim is not being made that the forms enumerated above are identical, though it is assumed that they are functionally isomorphic in important ways and so at least analogous. A different term is used to distinguish AS from the purely formal relationship which characterizes those deductively valid forms that are analogous to it as well as from the pragmatic relationship described by Toulmin and his followers in 4 elaborations on the Toulmin model, because in both those fields the constructs are deliberately isolated from the psychological context. It might be necessary also to distinguish AS from a very general cognitive schema that may be employed in inferring something about a specific case from prior generalized knowledge. AS may be intimately related to cognitive inference, but the details of that relationship need to be worked out. The groundwork for systematically relating the cognitive process of reasoning and the discourse process of argumentation was presented in an earlier paper (Mineo, 1983). However it- is determined that AS may relate to the analogous relationships referred to, the following definition of the concept is stipulated: i 'n ' i hm in h r H u- 5' I.'I0r’n’-!O‘ 1.-..1'-,=4 -n.-o_1 o ' i io-'hn .-. ‘I’. or- 0.. .i'q-o hwn-.1. 'n ' o., 11' 0 01! ° ‘ -10 ° 0h: _.;mn- r ' of . mn h g. .. or. Q‘ . o u_.1o .po . ,gq1V1q.1 . ‘ orrn.°- of . ‘ i ° o1. ' o o: -. a: _o_-. ‘ . _-.t 9- 0' 4911111”. h inivi a1 rrn To say that AS is We entails that it is “psychologically real”, i.e., that it underlies the production, comprehension and evaluation of discourse of a certain type. To say that it is a schema is to indicate: (1) that it is a hierarchically organized, cognitive framework against which discourse is compared in order to render it coherent, whether in the process of constructing discourse or attempting to comprehend it; (2) that inferences are performed in the linear processes of encoding discourse into strings of written or spoken text or decoding discourse while reading and 5 hearing, such inferences being employed to maintain coherence between text elements; and that (3) in the process of encoding, inferences are made to determine the text elements that need to be produced in order to fulfill the requirements of the schema, while in the process of decoding, the inferences made determine whether and how adjacent text elements fit the schema. The terms schema and m are used in the psycholinguistic and cognitive literature as used in (1) and (2), above. Unfortunately, the two terms are used by authors of conflicting theories concerning the way discourse is processed. It has been suggested (Brown & Yule, 1983) that the two approaches need to be combined in any adequate theory of discourse processing. An attempt to outline how the two approaches might be integrated (developed in Mineo, 1988) is summarized in (3), above. It has not clear whether psycholinguistic researchers have followed the suggestion of Brown and Yule. Lundquist (1986) has suggested a very similar approach for the study of argumentation. The term mfegenee may cause some confusion. As used in the psycholinguistic literature, it refers to a process of linking text elements by providing information not explicit in the text when attempting to construct or comprehend discourse (Warren, Nicholas & Trabasso, 1979). When arguing, for example, reconstructing an unexpressed warrant could legitimately be referred to as inference — the warrant is “inferred” from the claim and data. While the term inference may be used to refer to these two processes, it is not assumed that they are identical. However, inferences employing AS are assumed to be of the same type as the text-linking inferences referred to in the psycholinguistic literature. For the purposes of the present investigation, it is stipulated only that AS is employed in 6 processing argumentative discourse. There certainly are other types of inferences employed in processing argumentative discourse and there certainly are other types of psycholinguistic inferences that are not typically employed in processing argumentative discourse. WW Arguments may be said to derive their force from the connection expressed in the warrant (Toulmin et al., 1984, p. 45). There are apparently many types of connections represented in the warrants of naturally occurring arguments, i.e., whenever arguments are expressed, they will always take a specific form that is determined by the type of connection represented in the warrant. These forms are usually discussed when scholars attempt to distinguish types at reesening, e.g., causal reasoning, sign reasoning, reasoning from analogy, reasoning from principle, reasoning from example, etc. Given the presuppositions discussed above, those argument types traditionally identified as fallacious would have to be included in the list. Each of these reasoning types has a different type of warrant associated with it and for each type, different types of data are required to satisfy the condition stated in the warrant. No argument can be written or spoken which is a pure argument in the sense that there is no specific type of connection specified in the warrant. In view of this, one of the things that needed to be determined for the purposes of this investigation was the range of argument types that should be considered for inclusion. The literature on types of reasoning is in no way consistent, but it seems clear that the study should include more than one argument type, otherwise it may be argued that the results of the investigation are valid due to the specific type of reasoning included. The problem then is to anticipate in advance which of the many types are likely 7 to be most common, easiest to learn, simplest to understand and learned first in the acquisition of argumentative competence. These are the types that would most likely be found in an organon for natural languages. It is also likely that the the types of reasoning are related in the sense that we must understand how to use some of them before we can understand others. It can be argued, for example that reasoning from analogy is enthymematic in that it can be analyzed as a combination of simpler forms, or that reasoning from representative sample (upon which the whole elaborate structure of statistical inference rests) is a technical elaboration of reasoning from example. Again, those that must be understood first in the order of development of argumentative skills would be those most likely to be found widely distributed in the population of arguers of average competence. These considerations indicated a direction for the preliminary investigations for this study: a small number of the simplest argument types should be selected for inclusion in the study. These types should be simple in the sense of being developmentally more fundamental but diverse enough so that they serve the function, at least, of enabling the average language user to construct and comprehend a wide range of arguments typically found in mundane argumentation. Some simple examples may clarify the process here proposed as operating when a bearer/reader attempts to comprehend discourse. If a text begins with the phrase “Once upon a time...” the reader infers that this is a setting and so attempts to apply a schema for stories for interpreting the rest of the text. On the other hand, if the text begins with the words “Because there is less inflation this election year...” the heater/reader may infer that the statement is a reason or W and attempts to apply a 8 schema for arguments for interpreting the rest of the text. So far, processing is guided only by the most general level of the schema (AS). If the hearer/reader subsequently encounters the phrase “...leads inevitably to...” the schema is further specified and the rest of the text interpreted as an instantiation of one of the distinct reasoning types, in this example, causal reasoning (cf. Lundquist, 1986). Conceived in this way, the schema AS and its specifications of different reasoning types provides a language user with a series of strategies for interpreting argumentative discourse. As such, it is similar, both in the way it functions and the level at which it functions, to the Given- New strategy (Clark & Haviland, 1974) or the Order of Events strategy (Clark & Clark, 1977) proposed by psycholinguistic researchers. Presumably, AS and its variations, as well as other schemata within the repertoire of the average language user, would be more general and would operate at a more fundamental level than schemata used for processing more elaborate forms of discourse, e.g., the schema hypothesized by researchers for processing stories (Freedle & Fine, 1982), since arguments can occur within stories, jokes, etc., as well as within standard argumentative contexts. W. In the literature reviewed concerning the relationship between logic and the psychology of reasoning, researchers have focussed on the issue of whether humans typically reason logically. The consensus seems to be that they don’t (Hample, 1979). Some researchers maintain that reasoning is basically logical but that there are psychological processes that interfere with the tendency to be logical, while others have just accepted the idea that humans do not reason logically (Reynolds & Burgoon, 1983). 9 Both these responses seem unsatisfactory. The willingness to accept that we reason logically but that there are processes that interfere with logic seems to be guided by the assumption that the logic people employ, is “correct” in some sense or at some level. If we do not reason logically all the time, they seem to assume, we must reason logically sometimes, otherwise our reasonings will not even be capable of correction. These researchers have continued to investigate reasoning in order to determine the extent to which reasoning is logical and to identify the interfering influences. On the other hand, the willingness to accept that humans do not reason logically seems to be guided by the assumption that logic plays a very minor role in human behavior, including argumentative interaction (Jackson, 1985), and researchers adopting this response have been content to ignore the issue. Both of these tacks seem to be based on the researchers’ acceptance of “textbook logic” — logic as it has been defined by philosophers attempting to explicate what validity is. This is the “logic” referred to in the researchers’ empirical investigations or theoretical critiques. It is easy to see why those who believe that we must reason logically sometimes would be unwilling to give up that assumption: they reason that if the philosophers are correct, then we must at least sometimes reason in such a way that our conclusions correspond to the world in which we try to survive, or that they are coherent within the system of beliefs of those with whom we argue. Likewise, we can understand how others can regard logic as irrelevant to human behavior: They reason either that the philosophers are wrong about the structures they have identified, or that true conclusions are irrelevant to survival or the coherence of belief systems. In the research concerning the relationship between logic and 10 argumentation, researchers have focussed on the question of whether logic is necessary in order to explain or understand argumentation practice. The consensus seems to be that it is not. Some maintain that argumentation practice is largely illogical and that much of what guides argumentation is influenced by rules governing argumentation as interaction (hence extra-logical), but that it would be a good thing if it could be made logical (van Eemeren, Grootendorst, & Kruiger, 1984). Others maintain that it is largely irrelevant whether argumentation practice is logical or not, that the interaction rules are all important (Jackson, 1985) Again, both these responses seem unsatisfactory. Those who maintain that argumentation can and should be made logical seem to be guided by the assumption that logic can best serve the needs of arguers, and that even if we do not argue logically all the time, we can and should argue logically more often, if we are to achieve the ends of argumentation. Those who maintain that logic is irrelevant to argumentation practice seem to be guided by the assumption that logic cannot help us achieve the ends of argumentation practice. Both these tacks seem also to be based on a common assumption, viz., that the function of argumentation practice is the resolution of disputes or disagreements. Those who accept the idea that logic is relevant to argumentation assume that logic can help lead us to the resolution of disputes, whereas those who maintain that logic is irrelevant to argumentation maintain that logic can lead us to the resolution of disputes only in rare cases. The alternatives to the above assumptions which motivate the present project are the following: There must be a natural language organon that operates in such a 11 way that it leads us, more often than not, to true conclusions about the world in which we are trying to survive. Whether these rules are isomorphic with the structures of philosophical logic as presently formulated is an empirical question. Further, it is assumed that the aim of argumentation is, at least sometimes, the desire to uncover truths necessary for survival — what has been called the epistemic function of argument. Finally it is assumed that even when argumentation is used to serve other functions, it is largely guided by the system of rules governing the epistemic function, that is, the epistemic function is regarded as privileged, though not necessarily favored all the time. If the system of rules we use to uncover truths necessary for survival is called “logic,” then, given these assumptions, the claim can be made that argumentation practice is, for the most part, logical. Whether this claim is true, however, is also an empirical question insofar as the logic proposed as capable of fulfilling the stipulated function should be demonstrated as capable of explaining observed argumentative behavior. The choice of AS as a logical schema of the sort defined is guided by the belief that the ability to subsume a new case under a general rule is one that is useful and fundamental for survival. Aside from these considerations of human nature and the requirements for human survival, this choice is guided by the the analogies referred to above. If this is correct, it is not surprising that logicians have repeatedly identified structures that are at least analogous to AS. Furthermore, positing AS seems consistent with observed argumentation practice. The existence of AS may explain why the Toulmin model schema of warrant, data and claim appears to be universal in everyday argumentation, at least in terms of our ability to analyze 12 arguments in terms of the model. There doesn’t seem to be any naturally occurring argument for which it is impossible to specify “warrant” and “data.” There are obviously cases in which one of these elements is claimed to be “implicit” or “unexpressed.” In those cases, when novices with minimum training are asked to supply the missing elements, they can usually do so fairly easily in a manner consistent with the model, and agreement is often high. There are certainly cases in which novices and even experts disagree on the assignment of the labels. In the case of novices, one can usually trace the disagreement to ambiguities in the text or differences in interpretation, and typically, when the ambiguities or divergent interpretations are pointed out, the disagreement can be resolved. In the case of experts, the disagreements might all be attributable to differences in the way “warrant” and “data” are defined. It is also interesting to note that even with highly artificial arguments, as long as they are expressed in natural language, or in any symbol system translatable into a natural language, the warrant/data analysis works. Admittedly, the translation often results in grammatically tortuous results (picture recasting every line in a thirty line proof in symbolic logic in terms of the Toulmin model!) , but the same is true when one tries to formalize ordinary language arguments. In the first case, one murders artificial language in order to translate it into ordinary language; in the second case, one murders a naturally occurring argument in order to translate it into standardized logical form. It may be argued that the distinction between data and warrant can be made but that it is “so abstract as to be meaningless.” Aside from the fact that people often make the same claim about the basic structures of formal logic, there are a number of practical advantages to making the distinction 13 for argumentation training, and it seems that these advantages are exploited even by arguers with no formal training. For example, warrants and data are typically evaluated using different criteria —— criteria appropriate to the meaning and function of each. Thus in trained practice, rendering implicit elements explicit is taught as a skill useful for exhibiting flaws in an argument. In untrained practice, we often hear criticisms that can be explained by positing this ability to make unexpressed elements explicit prior to evaluation, for example in the following exchange between a five year old (B) and a six year old (A): A: You can’t go down there! B: Why? Mommy didn’t say so! A: So? You’ll still get hurt! B has interpreted A’s claim as depending on the warrant “I can do anything unless Mommy said I can’t do it.” A replies, attacking B by pointing out that the data is only relevant relative to the warrant stated, which A regards as false, since there are other reasons for not doing things, like the possibility of injury. (The explanation may be more subtle if we assume that B intentionally “misinterprets” A’s warrant at first in order to evade the issue that descending into the cave is dangerous. In either case, ability to reconstruct unexpressed premises prior to evaluation is presupposed.) The project here described was an attempt to demonstrate empirically that arguers use AS in their processing of argumentative discourse. 14 I] Ell 11... EC lB l i‘u ,, u infurn ' .oro - '9 “3' ., -.o .0. h0°lin ' W. Since this investigation deals with cognitive elements that seem at least analogous to elements involved in simple inference, some of the research into the nature and development of inference ability may be relevant. The problem is that much of this research is limited in that it is not clearly linguistic in orientation, e.g., problem-solving research (Rice & Kemper, 1984), research using Venn diagrams (Erikson, 1978), etc. There has been a significant amount of psycholinguistic and cognitive research that has concerned itself with the processing of words or sentences of different logical types, e.g., investigation into childrens’ ability to use quantifiers, or transitive relations, investigation of certain logical fallacies like the “conjunction fallacy”, etc. (Galotti, 1989) Some of this research has specifically involved subjects’ processing of simple arguments (Hawkins, Pea, Glick & Scribner, 1984; J ohnson-Laird, Oakhill & Bull, 1986; Markovits, 1985). In the research reviewed, however, the logic employed has been philosophical logic. In order to determine the extent to which this research is relevant, it would be necessary to isolate those studies in which the relationships investigated are isomorphic with natural language logic. Until this task is accomplished, the overall implications of previous psycholinguistic research remains unclear. WWW. Some relevant research has been done by communication researchers interested in whether logic has any bearing on attitude change (Hample, 1978, 1979a; Miller, 1969; Petty & Cacioppo, 1981; Steinfatt, Miller & Bettinghaus, 1974). Here again, though, logic has been operationalized as “textbook logic” 15 or, even worse, it has not been operationalized at all, as in the research motivated by the elaboration likelihood model of persuasion (Petty & Cacioppo, 1981), in which “good vs. bad arguments” is used as an independent variable with only very vaguely defined criteria of “good” and “bad” having been used to construct the argumentative messages used as treatments. Another problem with some persuasion research, noted by Reynolds and Burgoon (1983), is that researchers have paid insufficient attention to the question of whether and how the acceptance of premisses leads to the acceptance of conclusions. Instead, they have focused on the acceptance of conclusions and merely assumed that this was a result of the acceptance of the reasons offered. Until those studies can be isolated in which treatments can be identified as isomorphic with AS, the implications of this body of research remain unclear as well. WWW. There is a body of research by speech-act theorists that may also be relevant. Pragmatic models of various aspects of argument have been proposed and criticized, including, the speech-act model of van Eemeren and Grootendorst (1984), and the interaction model of Jackson and Jacobs (1982). The work done on enthymemes would be especially relevant (Jackson & Jacobs, 1980; van Eemeren & Grootendorst, 1982). Research along these lines is useful as an important preliminary to the investigation of the psycholinguistic aspects of argumentation. The method used by these researchers, however, relies primarily on the use of the researchers’ own intuitions of the legitimacy of the examples and counterexamples constructed or selected as evidence. This method is 16 referred to as “analytic induction” (Jackson & Jacobs, 1982). It was noted above that the Toulmin model as herein modified can be used to analyze any naturally occurring argument. Anyone who understands the model can apply it to any unit of discourse that is regarded as an argument, and the model cannot be used to generate examples that would not be regarded as arguments. No disconfirming instances can be found. This is true as far as the author's intuitions go, and it is as far as one can go with the method of analytic induction. The fact that AS, or any model of argument can be used by researchers to analyze any example of naturally occuring discourse, however, does not demonstrate that the proposed model is used by ordinary language users to process discourse. Even if it were true that every naturally occurring argument can be reconstructed in terms of the model, that doesn't tell us whether the model models something “psychologically real”—whether it represents a cognitive schema that is habitually employed by language users in constructing, comprehending and evaluating arguments. If we do not demonstrate that the schema the model represents is psychologically real, then the model is of no help in helping us explain communication processes involving argumentation, unless all the subjects are taught to use the model and practice using it for years until it becomes “second nature” to them, that is, until it becomes part of the habitual processes determining their production of and responses to argumentative discourse. If, for example, we could teach everyone modern textbook logic and force them practice it until it becomes habitual, then we could determine how those habits are involved in their communication processing. Until that Brave New World arrives, however, a reasonable alternative is to discover the habits of natural language logic the average 17 person already has, and work with those, both as a pedagogical base and as a construct to inform communication research. Moreover, if researchers' ability to apply the model and their inability to invent or discover counterexamples are the only criteria, as is the case with analytic induction, it can happen that competing models are equally supported. This is, in fact, what occurred in the study of grammar where traditional researchers used a method similar to analytic induction in which evidence consisted of sentences discovered or invented by researchers which conformed to the researchers' hypothesized rules of grammar. Whether the sample sentences counted as confirming instances of the rule was determined by the researchers' “intuitions of gramaticality” of the sample sentences, that is, if the sample sentence conformed to the hypothesized rule and was judged grammatical by the researcher, that was counted as a confirming instance (Fodor, 1981). It was discovered, however, that different hypothesized systems of grammatical rules— competing models—will often work to explain the same data. If one assumes that the competing models represent psychologically real cognitive structures, then differences in observable consequences of positing the competing models can be used to decide between them. This is precisely the approach taken by psycholinguistic researchers whose work was able to break the log-jam created by the inability of traditional intuitive research methods to decide between competing, intuitively based grammars (Halle, Bresnan & Miller, 1981; Palermo, 1978; Slobin, 1980). What the assumption of psychological reality provides, then, is a method of testing hypothesized rules or models that is not limited to researchers' intuitions. Rather than leave it to researchers to judge whether a sample unit of discourse is a confirming or disconfirming 18 instance of a rule or model, observational consequences are derived from the assumption that the rule or model is a psychologically real part of the cognitive apparatus by which discourse is processed. If competing models are suggested by different theories, selection of the better model can be accomplished by precise specification of differences between observational consequences predicted by the competing models. For the studies reported in this paper, AS is stipulated as a model reflecting a psychologically real schema for processing argumentative discourse. The projected empirical consequences of that assumption are specified in the form of linguistic evidence extracted from subjects' protocols produced in response to the stimulus messages. Aside from these methodological limitations, researchers in the speech-act tradition have not paid sufficient attention to the logic of argumentative discourse. Jackson and Jacobs accept the assumption that logic is irrelevant to the aims of argumentative discourse (Jackson, 1985), which they define as the resolution of disagreement (Jackson & Jacobs 1982). It may be that little of what they have done is relevant to this project. They seem, however, to make implicit and extensive use of logical criteria in their identification of arguments. More specifically, given their definition of argument as a “disagreement relevant expansion” (Jackson & Jacobs 1982), it is easy to construct examples in which the only way of determining whether one utterance is a relevant expansion of another is by means of the logical relationship between the two utterances. For example, while rules governing interaction may provide a partial explanation of the interchange between A and B given above, it was shown that the utterances chosen by the children bear a logical relationship to one another as well. Speech act theorists have criticized the Toulmin model for various 19 reasons, and these criticisms may be relevant depending on the extent of the analogy between AS and Toulmin’s functional model. Important for my considerations are the criticisms noted by van Eemeren, Grootendorst and Kruiger (1984). A pair of related criticisms, drawn from early philosophical criticisms of Toulmin, is that backings can be applied to data and claims as easily as to warrants, and likewise, that rebuttals and qualifiers can be applied to warrants and data as easily as to claims. Backings are defined as “generalizations making explicit the body of experience relied on to establish the trustworthiness of the ways of arguing applied in any particular case” (Toulmin, Rieke & J anik, 1984, p. 61); rebuttals are defined as “extraordinary circumstances that might undermine the force of the supporting arguments” (Toulmin et al. 1984, p. 95); and qualifiers are defined as phrases that “show what kind or degree of reliance is to be placed on the conclusions” (Toulmin et al. 1984, p. 85). Neither one of this pair of criticisms is relevant to the specification of the functional relationship between data and warrant, however, which is incorporated in the definition of AS. And in fact, the criticism that backings are not unique to warrants depends on the observation that the warrant and data stand in the same functional relation to the claim as backing to warrant. If this is true, AS could explain the production and comprehension of those utterances typically identified as backings, though it would not justify giving the backing a different label. (It does not seem, however, that backings are merely further arguments in support of the warrant of an argument as this criticism suggests. Backings may be characterized as linking the argument to the appropriate field, i.e., of attempting to make clear the context in which the argument is to be assessed. This seems a legitimate function given Z) Toulmin’s conception of fields and in practice one can find innumerable examples of expressions that seem to function in this way, e.g., “According to speech act theory...”, “In the light of the evidence presented...” in elaborated discourse and more mundane examples like “I seem to remember from biology class that...” or “In my experience...”. In teaching argumentation, defining backings in this way makes it easier for students to pick them out and the practice of attempting to identify fields by looking for backings is a useful preliminary to argument assessment. Also, in exploratory research conducted by the author, defining backings in this way enabled coders analyzing transcripts of naturally occurring arguments to locate backings more reliably. In any case, whether the backing-warrant relationship is distinct from or identical to the warrant- claim relationship is a separate issue from whether the warrant-data- claim model is analogous to the AS model.) A much more important criticism, or set of criticisms, depends on the definitions of “data” and “warrant” and the charge that these are not adequate to enable us to determine, in many instances, which is the data and which is the warrant, whereas it is here proposed that AS does function in precisely this manner. These criticisms assume that in the Toulmin model (1) the data is always explicit, while the warrant may remain implicit, (2) the warrant has a general, rule-like, justifying character and (3) the warrant fulfills a bridging function between data and claim. Using these criteria, a counterexample is given by van Eemeren et al. as follows: Claim: (a) Harry is a British Subject Datum: (b) A man born in Bermuda is a British Subject Warrant: (c) Harry was born in Bermuda 21 In Toulmin’s original example, (c) was given as the datum and (b) as the warrant. van Eemeren et al. claim that their analysis, given above, is equally legitimate: Assuming that (b) is unknown to the person to whom the argument addressed, that (c) is known and that the arguer has stated only (a) and (b), (c) may remain implicit and (b) is a general, rule-like statement that performs the bridging function between (a) & (c). There is no reason to assume that data must be explicit and warrants implicit, however. Toulmin originally claimed that this was only one of the distinctions that may be drawn between data and warrants, but this is not a difference in logical function, which was the core of that discussion (Toulmin, 1958, pp. 99-100), and in later discussions, there is no insistence implicitness as a defining characteristic of warrants (Toulmin et al. 1984). The essential difference between data and warrants, then, seems that warrants have “general rule-like quality” and that data are facts pertaining to the specific case or cases about which something is claimed, which differences are stipulated in the definition of AS. Thus, in the above example (b) is the warrant because of its general rule-like function, regardless of the fact that it is explicit, and (c) is the data, because it provides imformation about “Harry,” the subject about whom a claim is being made. van Eemeren and Grootendorst have carried the project of developing a speech—act theory of argumentation further than any other researchers in the field (van Eemeren & Grootendorst, 1984; van Eemeren, Grootendorst & Kruiger, 1987). They have argued that this project would require the specification of argumentation schemata used to identify and evaluate the logic of arguments. This part of the project has not been carried out. They have specified and elaborated rules for interaction between arguers, but 22 have acknowledged that the rules of logic must be included in a complete theory. In their work on enthymemes and fallacies, they have maintained that some aspects of these phenomena can be understood in terms of arguers exploiting interaction rules but that others require the rules of logic. The “logic” that they have consciously (albeit provisionally) adopted for this work, it seems, is textbook logic. They appeal to Grice’s idea of conversational implicature, but, nevertheless, in the model they propose by which speakers “infer” unexpressed premises (and this is, as yet, a totally unsupported empirical claim), a crucial step in the process is the assumption that the speaker “intends a valid argument” (van Eemeren & Grootendorst, 1984, p. 134). In the model proposed by van Eemeren et al., they define the relationship between premises (which they call “arguments”) and the claim, or opinion, that is justified in a simple argument. They also identify the relationship of mendingtign, in which two or more independent simple arguments are used to support an opinion, and the relationship of MM. in which two or more simple arguments are chained in a series to support an opinion. They do not, however, specify any of the internal structure for simple arguments. This leaves us with a serious problem if we are going to regard their model as one that applies to ordinary language argumentation. The statements comprising arguments in ordinary language are not always grouped together or marked linguistically in such a way as to make their relationships transparent. In order to determine which statements belong to which simple argument and in order to determine whether simple arguments are related to one another by coordination or subordination, the internal relationships that link statements together in a single argument must be specified. 23 Consider, for example, a text consisting of five statements in the order: A—B-C-D-E. Suppose a bearer determines that A+C forms a simple argument supporting E and that B+D forms another simple argument supporting E, and further, that B+D supports neither A or C, and A+C supports neither B or D. This would be a case of two simple arguments supporting E coordinately. In the process of interpreting the text, the hearer would have to construct these groupings, since the groupings are not given in the surface-structure ordering. The only way these groupings can be formed is if the hearer looks for relationships that link non-adjacent statements together into coherent, simple arguments. For example, the hearer interprets A and C as premises supporting E, despite the fact that B and D separate them, because the bearer notices that A and C bear a certain relationship to one another that enables, or legitimizes that interpretation. The relationship between warrant and data specified by AS would enable such groupings. No such relationship is specified by the model proposed by van Eemeren, et al. van Eemeren and Grootendorst assume that the function of argumentation is the resolution of disputes and they are content to assume, for the time being, that textbook logic is very useful for resolving disputes. This seems to be why they have spent so much of their efforts working on the interactional aspects of argumentation. Starting from the alternative assumption that the privileged function of argumentation is uncovering truths necessary for survival and recognizing that whether philosophical logic is used to serve that function is an empirical question, the focus of the project here proposed is on defining and validating the structure of argumentative logic. The empirical validation of AS was chosen as a first step in that project for reasons already discussed. WWW. Communication researchers interested in message features relevant to persuasion have, for the most part abandoned the idea that logic is one of these features. The advantage of assuming that receivers use textbook logic in comprehending and evaluating persuasive messages was that it provided researchers with something well defined conceptually and easy to operationalize for use in research. One of the problems with the assumption that there is a “psycho- logic” that is relevant to persuasion is that it has provided no systematic way of identifying that psycho-logic, hence, there was nothing definite for use in research. What is here proposed is a systematic way of specifying the nature and limits of a natural language logic. There are numerous areas of communication research other than persuasion that might be aided by understanding natural language logic. It seems likely that the one's definition of communication competence, would be influenced greatly by understanding norms for argumentative competence. Differences in argumentative competence may be an important genetic or limiting factor in conflict management, and may be related to argumentativeness (Infante, 1987) and thus, to the effects of argumentativeness (Infante, 1988, pp. 9-10). Furthermore, understanding natural language logic would certainly aid in our understanding of small group decision making. In general, whenever there is reason to believe that the inferences drawn from a message may mediate the effect of that message as in attribution processes, person perception, counterarguing, etc., there we may find the concept of a natural language organon to be a valuable tool for theory elaboration or integration. WWW. Validation of a natural language organon would provide support for rhetorical prescriptions concerning appropriateness of the level of logical complexity of persuasive messages. Messages that must be processed during the rapid flow of speech in the broadcast media, public speaking contexts, small group discussion and dyadic conversation would presumably demand that receivers employ a natural language organon, during initial processing at the very least, due to cognitive limitations on the speed of comprehension in such contexts. Also, by moving toward fulfillment of Toulmin’s recommendation for empirical studies in the uses of argument, it would provide a tool for a more naturalistic, less formalistic basis for analyzing the logic of rhetorical discourse, precisely the motivation that drew rhetoricians toward the Toulmin model in the first place. The approach adopted here assumes that the epistemic function of argument is privileged due to survival demands. In the practice of everyday life a child will continually be placed in situations in which principles previously learned must be applied to new situations. The child will often discover that such principles are false or incorrectly applied. If no rule or principle is available to guide action, or if the reason for the failure of a rule or principle is not understood, the child will turn to others for help. If a child is asked for justification of behavior, the child learns that the answer must be in the form of a rule or principle under which the behavior in question can be subsumed. And when children are asked to behave in a certain way, or to refrain from so behaving, or when they are attempting to understand the behavior of another, they soon learn to ask Why?-questions. In such situations, parents attempt, with varying degrees % of success, and varying degrees of concern for the well-being of the child, to provide a structure by which the child can determine what counts as a satisfactory answer. It is assumed that in the private and social uses of language in the above contexts, the child will learn a repertoire of argument structures and that a stable core of these will be such that they will lead the child to true conclusions about the world in which the child is trying to survive. Note, however, that there is considerable opportunity for the child to learn structures that have been traditionally regarded as fallacious, also. The privileged status assumed here for the epistemic function of argument stems from the acceptance of the often quoted notion of Aristotle’s that “things that are true...are, by their nature, practically always easier to prove and easier to believe in” (1952, p. 594). This is usually misinterpreted in modern rhetorical scholarship as a kind of naive, mystical faith in the Power of Truth (Rieke & Sillars, 1984, pp. 14-17). The Philosopher, however, states in a previous passage that “the underlying facts do not lend themselves equally well to the contrary views” (p. 594), which may be taken to mean that false beliefs are more likely to be falsified in practice, i.e., in the “experimentation” of everyday living. Thus, while it is granted that the social function of argumentation is to gain audience adherence to claims, it is nevertheless assumed that the typical audience member will be sensitive to argument forms the core of which, at least, have been selected by the epistemic function. Immtangefgmhegmflegie. If it turns out that argumentative logic is similar in many ways to logic as defined by philosophers, they can certainly feel good about themselves. Beyond this, understanding natural language logic and how it develops would be a boon to logical pedagogy. For over a century, logicians have sharply distinguished logic from 27 psychological processes. The result has been the elaboration of logical systems that people can’t readily use, taught only to a minute fraction of the population years after the developmental period in which a person most likely acquires natural logic. There is reason to believe that Piaget’s investigation into the acquisition of reasoning skills estimated the logical formative years as being much later than they may in fact be because his research concentrated on problem-solving tasks and neglected to consider the high level of logical skills required for language production and comprehension (Rice & Kemper, 1984). There is no reason that six-year- olds cannot be taught logic. In their desire to isolate logic from psychology, it may be that philosophers have neglected the opportunity to raise the quality of everyday thinking and arguing. Note, however, that while we often think in terms of logic informing everyday practice, philosophers are not unaware of the possibility of everyday practice informing logic. Goodman (1983), for example, while recognizing that we justify particular inferences by their conformity to valid deductive rules, also claims that valid deductive rules are justified by their conformity to particular inferences. He argues that the circularity of this mutual justification “is a virtuous one....The process of justification is the delicate one of making mutual adjustments between [valid deductive] rules and accepted inferences; and in the agreement achieved lies the only justification needed for either” (p. 64). Methgdclm The approach which was followed in specifying the theory for this project may be called functional-psycholinguistic. This is the approach used in a previous paper by the author on story coherence (Mineo, 1988). 23 The steps in specifying the theory are the following: 1. _ we; I‘ .0 0.34.01. -1 u o a: u: o 0. 0- _‘ o '1 ‘r‘ in W. The pragmatic function of AS, as given in the definition provided above (p. 4), is to apply a general rule or principle to a new specific case. 2. U: '00- 09-“. 109'... 1% -m.. o - 0.1- or: u'. The top-down model, at the highest level of generality, is very simple. It specifies that AS is a schema relating statements to each other as warrant, data and claim. At the next level down from the top of the hierarchy, it is proposed that there are a small number of distinct reasoning types in which the nature of warrant and data (as well as other features, such as appropriate qualifiers) are further specified. 3. " ' H 1.00 0H'.' "00- o 1' L‘ ' ' _1-. o. .0: .99 ‘0 .0 h ‘ -'o.rin19-. - o '_ 1° of o: x 0. ' o Q'mn.o_ of h schema. As the bearer/reader processes the text, surface cues trigger inferences that suggest what schemata might be used in order to interpret the text as a coherent whole. An investigation of naturally-occurring argumentative discourse provided a sample of the linguistic cues employed by arguers in expressing the types of argument included in the studies reported below. These linguistic cues were used in the construction of extended examples of argumentative discourse containing more than one argument. Subjects were assigned two different tasks in which they listened to the examples and produced written protocols afterward: in Study I, subjects were instructed to reconstruct the arguments; in Study II, subjects were simply asked to recall the messages. It was reasoned that if AS is operating, it would predict that subjects reconstruct or recall arguments by linking 29 elements of the simple arguments together in a manner consistent with the AS schema. It was argued above that speech act theorists—in particular, van Eemeren, Grootendorst and their colleagues—have failed to identify the logical aspects of argumentative discourse, though they maintain that this needs to be done (van Eemeren, et al., 1987 ). It was also argued that the model they have proposed seems to require the ability to recognize the internal structure of simple arguments in order to comprehend complex arguments. In view of these considerations, a crucial empirical question is whether AS, as a model of the internal structure of arguments, can help explain how people group statements together in the process of attempting to interpret argumentative discourse. The purpose of the studies reported here, then, was to demonstrate that subjects attempting to comprehend arguments expressed in natural language will reconstruct the arguments for later recall in accordance with the AS schema. Arguments thus reconstructed should provide evidence that subjects related text elements together in a manner that reflects the underlying argument structure predicted by the schema. More specifically, these relationships should reflect the structural links predicted by the schema between functional elements within simple arguments (warrant-claim; data-claim). Only if subjects reconstruct these simple links correctly will they be able to recognize the structure (coordination or subordination) of complex arguments. If the model of processing proposed above is accurate, the interpreter's ability to process argumentative discourse accurately depends on cues in the text triggering the AS schema that is then brought to bear in an attempt to comprehend the text. If surface cues are minimized (for example, by the elimination of standard 30 argument markers—words like ‘so’ and ‘because’) accuracy of interpretation should be reduced. In order to test these assumptions, it was necessary to control the construction of the stimulus messages included in the studies in terms of the propositional links within simple arguments, the specific argument types considered as variations of AS, and the structure of the complex arguments (referred to below as “macrostructures”). The methods used to achieve these controls is described in detail below. It was also necessary to decide on the method of coding subjects' protocols so that the extent of agreement between their reconstructed messages and the AS schema could be determined. The method for achieving this is also described in detail below. Briefly: coders were provided with definitions of the argument types along with a list of examples of markers for warrant, data, and claim for coding subject protocols. Proportion of the match between subject protocols and the argument structure predicted by the schema was determined by the number of individual matching links. Links counted as a match whenever a pair of propositions recalled by the subject was coded as relating the propositions in the manner predicted by the schema. It may be argued that this approach does not clearly demonstrate that interpretation depends on a cognitive schema, rather than on the surface cues alone. However, to say merely that “surface cues alone” produce the observed effects provides no explanation at all as to how this occurs. The fact that different surface cues result in the same perceived structure means that the cues have been generalized in some way, certain classes of cues interpreted as indicating the same relationships between text elements, and such a generalization is what a schema is supposed to be. 31 Furthermore, it was reasoned that if differences in schema produce a difference in processing beyond that accounted for by cues alone, that difference in processing could be attributed to differences in schema applied, rather than differences in surface cues. Additional support was provided to demonstrate that a schema is operating by determining whether a second group of subjects could provide evidence of distinguishing schema-relevant and schema-irrelevant information. Since the subjects in Study I were to reconstruct the arguments, they were instructed to reproduce the gist of the stimulus arguments, whereas the subjects in Study II were assigned the task of simply recalling the texts. It was assumed that overall recall of schema- relevant information would be greater than information that is not relevant to the schema. If argument-irrelevant information was totally irrelevant to the text, however, it would be regarded as nonsensical, incoherent. For the arguments constructed for this study, the information included was relevant to the text but not argument-relevant, and it was assumed that the latter would be better recalled than the former when subjects were given the task to recall the text and that this relationship would hold true independent of the specific argument type and macrostructure. _u'o'io:o {-1.0 ‘_ H 0 0° 1' 0!!! 0 - 01-- ; am-t ‘ That arguments occurring in natural language exhibit a wide range of differences is a truism. For the purpose of this study, and any study which purports to uncover something meaningful about the structure of arguments occurring in natural language, a limited range of forms must be selected, so that the results will be clear. This introduces some control over what is traditionally referred to as message content , considered as a 32 global variable. Though what is being controlled has been referred to throughout the discussion above as argument We, it is clearly part of gentent of the message considered globally. Exactly what part of a message is logical structure, and what part is topic or substantive content is not clear. This is further complicated by lack of agreement or clarity concerning what parts of argumentative discourse are motivated by the relationship between participants, what elements are purely conversational, what can be classified as ethes and names, etc. Furthermore, even if one could isolate those elements that are logical, it is a matter of controversy as to whether there is anything in natural language that is purely formal and non-substantive in the logical sense. One of the main motivations of this study is precisely to attempt to clarify the scope of Legne for naturally occurring argumentative discourse. It is assumed that dozens of studies will have to be conducted using this research paradigm, systematically investigating a variety of isolated forms, before a clear picture of a natural language organon emerges, including a knowledge of its limits and variations. From the range of forms possible given variations of argument types conforming to the AS schema and different ways of arranging coordinate and subordinate structures, a limited number of argument types and macrostructures were selected for use as variables in the studies reported below. Rationale for selection and the outcome of the selection process is explained in the remainder of this section. Emsjtjnneliinks. The propositional links used for constructing the stimulus arguments and coding subject protocols for this study were of three varieties: Warrant-Claim (W); Data-Claim (D); Subordinate Claim- Main Claim (S). Each of these produces an ordered pair of propositions (W<1,2>; D<1,2> and S<1,2>). The Warrant-Claim and Data-Claim relationships were as defined for the AS schema. The Subordinate Claim-Main Claim relationship was defined for this study as linking the claim of an argument included in a text with a further claim in the same text, where the first claim is used as data for the second. This structure was chosen because it is probably more common than that in which an argument is used to support a claim that is then used as warrant for a further claim, since traditional wisdom maintains that warrants are more often implicit. Argnment typee. The forms for the simple stimulus arguments used in these studies were selected with a number of constraints in mind. It may be that there are arguments in natural language that do not make use of subsumption. It may be argued, for example, that there are so-called inductive arguments in natural language that use a number of premises about specific cases to establish a general principle. Reasoning from example (which Aristotle referred to as the “rhetorical form of induction”) is often described this way. The forms selected for this study should all make use of subsumption as described in the definition of AS provided above. Even if we limit the forms selected to those that conform to AS, it was noted above that there are an unknown number of specific variations of AS from which to choose, among which are some of the types of reasoning discussed in the literature on informal reasoning. The following criteria were used to select the argument types included in the study: (1) The type should be one that has a long history of discussion in the literature on informal reasoning. 34 (2) The type should be one that has been discussed in the recent discourse-analytic or speech-act traditions. (3) Since no assumptions are being made concerning the correctness of reasoning, those argument types that discussions on informal reasoning have identified as fallacious should be considered. (4) Since it is recognized in the literature on informal reasoning that some argument types can be regarded as analyzable into simpler types, only the simplest types should be considered because of the greater likelihood of their occurring. in the average person’s repertoire of natural language argumentation skills. In their 1986 article, “Identifying argument schemes,” the speech act theorists, van Eemeren and Kruiger, discussed three types of argument: reasoning from sign, reasoning from cause and reasoning from analogy. These three types also enjoy a long history of discussion in the tradition on informal reasoning. However, there is good reason to suppose that analogy is a more complex form of informal reasoning composed of simpler forms. For this reason, analogy was not included in the study. Reasoning from authority is a type of reasoning traditionally regarded as fallacious. More recently, authors of texts on reasoning and argumentation have become somewhat more liberal concerning the use of authority appeals, usually redefining the fallacy to include inappropriate appeals to authority. Since the criteria for distinguishing between appropriate and inappropriate authority appeals are more complex and, presumably, less well known to the average person than the general structure of the appeal, and since appeals to authority abound in ordinary discourse, that argument type was considered for inclusion in the study. Upon attempting to construct stimulus arguments that include 35 authority appeals, however, the author found that constraints on the microstructure made it difficult to create authority appeals that didn’t sound ludicrous. This is attributed primarily to the demand that the warrant be explicit. With authority appeals, this requires that the argument contain statements like “Whatever Michael Burgoon says is true.” In authority appeals that were found by the author in naturally occurring arguments, and in typical examples in logic texts, selected from natural sources or constructed, the warrant is typically left implicit, which seems to indicate that, though many people are not above using blatant authority appeals, they tend to make them appear less blatant by leaving the warrant unstated. In view of these considerations, and to attempt to conform to the criterion mentioned above concerning the inclusion of fallacies, other fallacies were considered. The fallacy that was selected for inclusion in the study was the fallacy of accident. Since there are divergent definitions of this fallacy in the literature on informal logic, the following definition was stipulated for this study: The fallacy of accident consists of application of a generalization to a case it is not intended to cover. Usually the fallacy occurs by exploiting the fact that generalizations are often stated with important qualifications omitted. To state a generalization without proper qualification is itself sometimes referred to as the fallacy dieteejjnplicitez. In practice, however, generalizations are often stated with relevant qualification suppressed, and it is assumed that the hearer knows what the qualifications are (or at least understands that generalizations are often stated with qualifications suppressed.) If a generalization with unstated qualifications is understood as unqualified it can easily be applied to cases that would be excluded by the qualifications. 36 A simple example of the fallacy might be: “The sign says ‘Parking reserved for vehicles with M.S.U. identification stickers. Others will be towed.’ So, clearly, that fire truck [parked in front of the burning dormitory] is in violation of the ordinance and should be towed.” On signs such as the one in the example, a general rule (“Parking reserved for vehicles with M.S.U. identification stickers”) is often posted without all the qualifications that may apply in special circumstances (such as “except for emergency vehicles or Safety and Security vehicles and snow removal vehicles, etc.”). In the example, the speaker exploits the fact that the qualifications are not stated in order to apply the general rule to a case that would be excluded if the proper qualifications were understood — a case in which a fire truck is parked in order to fight a fire in a dormitory. In the examples of accident found in naturally occurring arguments, unlike examples of authority , it was usually the case that the warrant (the simplified generalization or general rule) was stated explicitly. Perhaps this is because explicit statement of the generalization without qualification reinforces the likelihood that it will be understood without qualification. In any case, the fact that the warrant is usually made explicit in naturally occurring argumentative discourse, qualified the fallacy of accident for inclusion in the study as well as the fact that it is often included among the fallacies traditionally identified in logic texts. Though discussion of the fallacy was not found in the writings of speech-act theorists, the way the fallacy occurs can easily be understood in terms of Grice’s maxims of conversational logic, often referenced by speech-act theorists. Even if the argument types are limited as discussed above, variations remain that must be further reduced. Functional elements in a single argument may be implicit. Furthermore, given the AS schema alone, 37 there are no constraints on the number of conditions (implicit or explicit) included in a warrant, and hence no constraint on the number of data elements that may be required (explicit or implicit) to substantiate the claim. For the purpose of this study, these possibilities were limited so that each stimulus argument would contain an explicit warrant and at least one data element. These limitations were further modified by considerations of possible macrostructures. W. The macrostuctures selected for use in the studies were the two on the left in Figure 1. 92W in r r W W8 r in r r 2 Warrant1 Datal Dataz Warrant\/ Data Warrant Sub-claimt S\/ub—claim (data) Claim I Sub-claim 2 Main Claim Main Claim Figure 1. Macrostructure Examples In the “Coordinate Structure,” the two data items belong to different simple arguments and the warrant corresponding to Data 2 is implicit. In “Subordinate Structure 1,” the sub-claim functions as data for the main claim, and the warrant corresponding to this data item is implicit. It is important to make some observations concerning these macrostructures that could have interfered with expected results. First of all, it was considered desirable to choose structures that have the same 38 number of propositions and the same number and type of microstructural elements (each form contains two data elements, one warrant element and one main claim element; both structures contain an implicit warrant). In limiting the stimulus arguments to those with four propositions and selecting only two from a number of possible forms in which four propositions and two simple arguments might be related, a situation is created that is less than ideal. In “Subordinate Structure 1,” the part of the argument leading to the sub-claim may, by itself, be considered an example of coordination, if one defines ‘argument’ as any statement offered in support of an opinion, as do van Eemeren, et al. (1987). As argued above (pp. 18-19), van Eemeren, et al. (1987) provide no functional distinctions to distinguish between types of premises. Thus, they provide no way to determine whether two statements belong to a single simple argument or are, instead, two separate arguments supporting the claim in the relationship they term ‘coordination.’ Using their definitions, then, one could not say unambiguously that Subordinate Structure 1 was “purely subordinate.” Designing an argument with four propositions that is avoids this difficulty, however, would result in double subordination, as in Subordinate Structure 2 , which would be much more difficult to comprehend and recall, presumably, than Subordinate Structure 1, an interesting question for further research. The second problem, though much less serious, is that simple arguments like the Coordinate Structure in Figure 1 with two data elements may be less common than simple arguments with a single data element. Agelegy. While the above considerations may seem to greatly reduce the scope of this study, two points may be made in defense of the apparently 39 restrictive nature of the limitations: (1) Most of the studies on logical structure have been conducted using structures that are far more restricted in form. The categorical syllogism and three term series problems, for example, are much more limited in scope than the forms used here. Consider, for example, the fact that any syllogism can be recast in the form of Warrant-Data-Claim and that any sorite can be recast as a subordinate argument structure of the type used in this study. Furthermore, since there are many other specific argument types and fallacies that may share the forms used here, the results should be much more generalizable than the standard logic experiment. (2) An effort is made here to use only arguments worded as they typically are in natural language, rather than to recast arguments for the study into a linguistic context that is rarely found in ordinary argumentative discourse. The latter technique introduces more control, but renders results more difficult to interpret relevant to natural language argumentation. M rin A m n B e ' Pr 1 n h In W In order to measure the match between subject protocols and the schematic structure claimed to be underlying the text, the proportion of propositional links identified by the subject out of all the links included in the stimulus arguments were determined. In each condition, subjects were presented with three stimulus arguments to increase the number of total links available (3 links/argument x 3 arguments = 9 links), and to diminish somewhat the possible effects of interaction with the content of the arguments. 40 For the second study, a second set of subjects was assigned to groups reflecting the same conditions as the first study (three types of argument, two macrostructures and two levels of cues) with different instructions in an attempt to offer independent evidence for the schema by demonstrating more accurate recall of argument-relevant propositions vs. argument- irrelevant propositions. The criterion here was the proportion of argument- relevant and argument-irrelevant propositions out of the total propositions available in the stimulus arguments. Note that here the links between propositions are not of concern, merely the schema-relevancy of the individual propositions. Since proportional data were used in both studies, the data were transformed using an arcsine transformation (Winer, pp. 399-400). The criteria used for determining a match between protocols and schema for Study I were kept deliberately very conservative. This was considered necessary in order to minimize dependency on coder intuitions of a match. It was argued above that AS can be widely, if not universally, applied to naturally occurring arguments, but that the ability of trained coders to apply a model does not by itself provide sufficient evidence that the model represents a cognitive schema employed by ordinary language users in producing or comprehending discourse of that type. That additional evidence is provided by precisely specifying observational criteria for coding subject responses. For these reasons, specific surface cues were used as criteria for the coding scheme in Study I and the decision to use such criteria resulted in the conservative coding scheme. In that study, subjects were instructed to reconstruct the arguments in their own words, as if speaking the argument themselves, eliminating material that they judged extraneous to 41 the arguments (Appendix, p. 70). We. In Study I, subjects were instructed to reconstruct the arguments in their own words, as if speaking the argument themselves, eliminating material that they judged extraneous to the arguments (Appendix, p. 70). As indicated below (p. 49), subject protocols for Study I were considered uncodable if the coders judged that the subjects were merely trying to reproduce the texts verbatim or if subjects gave a third person report of the argument. These responses were considered uncodable because in both cases the subjects were regarded as not having accepted the task of reconstructing the arguments. In pre-tests (reported below, p. 50), this decision resulted in 74% codable responses. For these codable protocols, the general rule for coders was that, in order for a pair of propositions in the protocols to count as a matching link, there had to be surface cues in the protocols (for the reasons explained above) that indicated the same relationship between pairs of propositions (Warrant- Claim; Data-Claim or Subordinate Claim-Main Claim) as that predicted by the schema. The clearest surface cues used to verify a match were standard argument function markers — words such as ‘therefore,’ ‘because,’ ‘so,’ and their synonyms — occuring in the proper place between propositions. Note that the markers ‘because’ and ‘so’ were used in the example given to subjects in their instructions (Appendix, p. 70). To illustrate: if the schema specified that A was a datum or warrant and B was the claim, and the subject wrote “A so B,” that would be coded as a match, whereas “B so A” would not. The more difficult cases to code were those in which there were no standard argument function markers. Intuitively, the sentence pair “You 42 can't vote. You're not even twenty-one” would count as an argument consistent with the AS schema. The problem with this kind of construction is that there are no obvious surface cues to support the interpretation that the first sentence is a claim and the second data offered in support of that claim. Thus, if a subject produces such a sentence pair there is no evidence in the form of surface cues that the subject intended the pair as a claim and a warrant. To maintain the conservative nature of the coding scheme, it was decided that such cases should be coded as a non-match. The only evidence of a match permitted without the presence of argument function markers was the use of grammatical conjunction within sentences linking premise and claim or grouping pairs of premises. This was permitted, first, because of the frequent use of such forms in naturally occuring arguments (for example, “You can't vote — you're not even twenty-onel”) and second, because they contain surface cues (punctuation, in the example given) as clues to intended argument structure. In general usage, such grammatical conjunction within sentences indicates that the second clause is intended as an explanation or elaboration of the first, and grammarians recognize giving a reason as a specific subclass of this type of conjunction. Since the subjects in Study I were instructed to look for arguments, it was not considered too liberal to consider such structures in their protocols as indicating that the second clause (“you're not even twenty-one”) was a reason offered in support of the first clause (“you can't vote”). On the other hand, if subjects merely juxtapose two separate sentences, there is no clear surface evidence concerning which they intended as claim and which as supporting reason. To illustrate using the above example: the argument “You can't vote because you're not even twenty-one” could also be expressed as “You can't 43 vote. You're not even twenty-one” or “You're not even twenty-one. You can't vote.” However, another argument in which the individual clauses function in the opposite manner, viz., “You can't vote, therefore you're not twenty-one,” can also be expressed as either “You can't vote. You're not even twenty-one” or “You're not even twenty-one. You can't vote.” Since both arguments can be expressed in the same ways as a juxtaposition of two separate sentences, the occurrence of such a structure in a subject's protocol provides no evidence concerning which argument the subject intended. Coding in Study II was less problematic because coders were required to match single propositions rather than pairs of propositions conjoined logically. In that study, coders were given a list of the individual propositions contained in the stimulus messages, including alternative forms of expressing the propositions. Each proposition was identified as schema-relevant or schema-irrelevant and coders merely had to count the number of schema-relevant propositions. For example, for the following stimulus message Don't worry! You're always such a worry wort. It's gonna be a success! If you're gonna have a really good party, you gotta limit it—y'know?—to just friends. And you sent invitations, right? 'Course, they're not exactly the same people I would invite—just kidding! And you're good at keeping them mixing, too, y'know— ha, hal—that interpersonal stuff. coders were provided with the following list: 44 1. Don't worry! (There's no need to worry) — irrelevant. 2. You're always such a worry wort. — irrelevant ' 3. It's gonna be a success! (Your party will be a success.) — relevant. 4. If you're gonna have a really good party, you gotta limit it to just friends. (If a party is to be a success, you should invite only close friends) — relevant. (Etc) It was understood that the list of alternative forms for each proposition was not necessarily complete, and that there may be other forms in which subjects would express the same proposition. (leverietee Based on Galotti’s (1989) excellent review of the research on formal and everyday reasoning, reasoning ability does not seem to be related to intelligence, but, for everyday reasoning, it does seem to be related to general world-knowledge. Since the general world-knowledge of the subjects chosen (see below) was presumed to be about the same, no effort was made to control for intelligence or world knowledge in this study. However, while all subjects were presumed to have been exposed to the same general pressures for learning natural language argumentation skills, it was thought that they might differ with regard to education in logic, informal reasoning, argumentation or debate. Thus, the self- reported level of prior logical training was used to achieve some statistical control over that variable. Also, though subjects may all have been exposed to the same 45 pressures to learn argumentation skills, subjects with more elaborate general linguistic skills will be assumed to be better able to decipher the underlying structure of any text. Consequently, subjects’ scores on the language portion of their A.C.T. tests were used as a way of controlling for differences in general linguistic skills. Design SLndLI. In study one 3 x 2 x 2 AN OVA was used with three types of argument (cause, sign and accident), two types of macrostructure (coordinate and subordinate), and two levels of cue elaboration (high and low). Study II. The second study duplicated the conditions of the first, with different instructions. Since every subject was exposed to both types of proposition (schema-relevant and schema-irrelevant), proportion of recall for each type of proposition was compared using repeated measures, with type of proposition nested within the cells of the 3 x 2 x 2 design described above. Mathew SHAM- (1) If a natural language argumentation schema is operating, it is expected that subjects will reconstruct the arguments with a higher proportion of accuracy when text cues are more elaborate. (2) Since subordinate argument macrostructure is more complex than coordinate argument macrostructure, it is expected that subjects will reconstruct the arguments with a higher proportion of accuracy with coordinate arguments. 46 (3) There is no reason to assume that any of the three types of arguments is more likely to be familiar to the average subject than the others. In fact the types were selected for the likelihood of their familiarity. Consequently, it is not expected that subjects will reconstruct the arguments with a higher proportion of accuracy for any of the three argument types. W. (4) If a natural language argumentation schema is operating, it is expected that subjects will recall a greater proportion of schema-relevant propositions than schema-irrelevant propositions. Method Subiesta There were 263 participants in Study I and 193 in Study II. All were student volunteers from general education courses at a midwestern university. More subjects were used than is typical for reasoning experiments, as the artificiality of the language used in those studies introduces more control than was assumed here. Materials Each argument constructed for pretesting contained four propositions with three propositional links (see Figure 1.) All the arguments also contained two or three propositions that were relevant to the text but irrelevant to the argument structure. Schema-irrelevant propositions that were nevertheless relevant to the text included statements clarifying 47 schema-relevant propositions, statements providing context, relational comments, etc. Transcripts of naturally occurring argumentation were examined in an attempt to isolate surface cues used to distinguish between the argument types used in this study. Several arguments of each type were found in the transcripts examined, but there did not seem to be any consistent linguistic markers to distinguish them. In view of this, research assistants who were asked to construct arguments were provided with a definition, a schematic form of the argument type and two or three examples of each type. The goal was to produce thirty-six arguments t3 be pretested in printed form, six for each argument type, half of the arguments of each type having coordinate macrostructure, half having subordinate macrostructure. High and low cue-elaboration versions of the arguments were then constructed by deleting argument markers (words like ‘so’, ‘because’, etc.) to form the low cue-elaboration version or adding them to create the high cue-elaboration version, depending on which version was created originally. Minor adjustments were often made in the wording of the modified versions to accommodate the changes in cue-elaboration if simply deleting or adding the cues made the texts sound unnatural in the judgement of the author and research assistants. The arguments were pretested in typed form for subject perceptions of coherence, as measured using an instrument developed by Hamilton and Burgoon (1984). (For the pretested arguments used in this study, coefficient alpha reliability for the 14 semantic differential items was .84). The arguments were also tested for “naturalness”, using three Likert-type items. Though all the arguments were fabricated, subjects were told that 48 some of the passages they would be reading were made up by the author and research assistants and some were transcripts of discourse recorded in real-life contexts and that the purpose of the survey was to determine whether they could tell the difference between the fabricated and natural texts. It was hoped that by challenging them in this way they would be more consciously critical, thereby giving us a better picture concerning the naturalness of the texts. Subjects were later informed that all the texts were fictitious and reasons for their distinctions were recorded and discussed. Of the texts rated by them as below the mean on “naturalness,” the most common reason given (34%) was “language too elaborate for the context;” the second most frequent reason given (21%) was “topic not typical for the speaker.” Of the thirty-six original arguments, those falling below the mean for coherence or naturalness were eliminated. For some cells in the design, this left less than the three arguments required. Twice as many texts as were needed to fill in the gaps were fabricated, using all the leads provided by previous pre-testing, and this process continued until three arguments for each condition remained that were above the mean for coherence and naturalness established in the measurement of the original thirty-six arguments. The process of constructing and pre-testing the stimulus arguments was time-consuming and required a large pool of subjects. It was deemed necessary, however, in order to insure, as far as possible for the typed versions of the arguments, that subjects’ perceptions of incoherence or non- authenticity would not interfere with their ability to recall the structure of the arguments in the main studies. After the first pre-test of subject instructions for the main studies, it 49 was found that only 63% of the subjects were producing codable responses. Codable response were considered those in which the subjects had reproduced the arguments in their own words, as if speaking them themselves. If it was clear to the coders that the subject was merely attempting to reproduce the arguments word-for-word, or if the subject gave a third-person report of the argument (The speaker said, “...” then he said, “...”) those protocols were considered uncodable since the processes required to produce such responses most likely do not require comprehension. The first set of instructions pre-tested were printed on the cover of the subjects’ packets. The subjects were only told that the study concerned the manner in which people recalled arguments, then they were instructed to read the directions on the cover sheet. The number of codable responses increased somewhat in the pre-test of the second set of instructions (to 67%) when the author or research assistants read the directions exactly as printed on the subjects’ cover sheets and a second worked example was included. Two additional pre-tests of instructions were conducted. Another minor change that had some effect on producing codable responses was elimination of the term “paraphrase” from the instructions. Apparently, there is wide diversity among subjects concerning what that term means. For the final set of instructions, the subjects were told that the researchers had a way of scoring how much of the original passages they recalled and that the person who scored the highest out of all the subjects involved would get $5.00. They were told it was very likely that several subjects would be tied with “perfect” scores and that in that event, all tying subjects would get $5.00. (Only seven subjects had scores reflecting 67% accuracy. They were 50 told by their instructors to pick up their prizes in the department office at the university where the studies were conducted. One prize remains unclaimed.) In this last pre-test, 74% of the subjects were producing codable responses. Due to the expectation of lost information in the main studies, it was decided that a larger number of subjects would have to be used than originally planned: 263 subjects for Study I (150 originally planned) and 193 for Study II (120 originally planned). While checking the pretest arguments to determine whether subjects were producing codable responses, it was observed that of the four arguments presented to each subject for the pretest, the first seemed to produce considerably less codable responses than any of the other three, regardless of the order in which the four arguments were presented. Subjects responses to the first argument were badly garbled or seriously truncated. Apparently, due to subjects being unclear concerning what was expected of them, there seemed to be a practice effect differentiating their responses to the first and subsequent stimulus arguments. In order to diminish this effect in the main studies, an uncoded argument, the same for all conditions in both studies, was used as the first argument in the set presented to the subjects. The argument used differed in both type and macrostructure from those used in any of the conditions in both studies. This argument was not coded for accuracy in the first study, nor for recall of relevant versus irrelevant information in the second study, and was merely used as a warm-up exercise to familiarize the subjects with the task. N 0 further effort was made to control for practice effects, since it was not confounded with any of the variables of interest in either study. 51 Pr r Subjects in both studies were presented with four audio-taped arguments. Subjects in Study I were instructed to reconstruct the arguments after hearing each one, while subjects in Study II were simply asked to recall them. (See Appendix p. 70 for instructions used in Study I, p. 71 for instructions used in Study II.) In two studies on subjects' ability to recall argument lines, Marcus (1982) had subjects listen to five recorded arguments, write out the arguments as they recalled them and then do the same with five more arguments. The structure of the arguments for that study, though presented somewhat more artificially than those to be used here, were considerably more elaborate when analyzed formally. Marcus was able to detect differences in the way different structures were processed when subjects listened to five arguments in sequence before attempting to recall any, so, given the simpler task in the present studies, it was assumed that the differences in the structures of arguments used in these studies would be detectable by the subjects. Since recall data used in psycholinguistic studies of the type conducted here presuppose that the pressure of reduced processing time provides a more accurate picture of processing, during pretests the author and research assistants made head-counts at 15 second intervals of subjects who appeared to be finished writing their responses. It was determined that 45 seconds was adequate time for subjects to write out their responses. If a full minute was permitted, some subjects were observed to go back and cross out their responses and rewrite them, and in some cases even went back to previous pages of their booklet to modify their responses, or were left sitting idle long enough for them to scribble comments or questions about 52 the study. If only 30 seconds were provided, about a third of the subjects were still writing when the taped warning to go on to the next page was heard. For Study 11, however, for which the task was presumed to require less difficult processing than that required in Study 1, subjects were given only 30 seconds to recall the arguments. After all the data were collected, the author visited the classes from which subjects were drawn and debriefed the subjects concerning the purpose of the study. Subject protocols for both studies were coded by two research assistants, both of whom audited the portion of the author’s argumentation class in which the Toulmin model was presented. The research assistants were given a sample of arguments constructed by the author along with the definitions of the relevant components and were asked to take them home and analyze them. The author discussed the result of their analysis with the assistants and the exercise was repeated with another sample of arguments. Total training time, including assistants’ report of time spent on “homework” and the time spent auditing the author’s class, was approximately eight hours. Assistants could probably be trained in less time, however, since that part of the training that occurred in the classroom (nearly four hours) would have been reduced if the assistants were tutored privately. Assistants gained further experience coding the protocols from the pre-tests. The coders were not aware of the hypotheses of either study. Due to the possibility of the coders assuming that “accuracy” and “recall of relevant information” were preferred results, it was stressed that no such preferences were to be assumed, since the purpose of the study was to test a model, and that accuracy and relevancy were defined only in terms of the 53 model so that there was no implication that conformity to the model was necessarily a better way for the subjects to process the texts. This extensive training and experience resulted in very high coder agreement for both studies. The coder agreement for Study I was 95.3%. For Study II, coder agreement for relevant information was 90.1%; for irrelevant information agreement was 95.7%. (Though the difference between coder agreement on relevant versus irrelevant information is not large, it is curious. The research assistants who did the coding suggested that the reason their agreement was greater on irrelevant items was probably due to the author’s greater care in defining what constitutes schema-irrelevant information and his overconfidence concerning the likelihood of agreement on what subject interpretations were to be considered relevant.) Results Snidxl The data for Study I were analyzed using a 3 x 2 x 2 design with type of argument, macrostructure and level of cues as factors and ACT language score as a covariate. Analysis was performed using the SPSS-PC AN OVA routine. The covariates considered for the study were subject's ACT language scores and prior experience in courses in which the structure of arguments was included as a topic. The range of experience was rarely more than one course in high school or college. Since the data on prior experience was categorical and since the categories differed widely form the point of view of 54 the focus of the course (public speaking, introduction to logic, practical reasoning, etc.) subjects were simply classified as having prior academic experience or not. The means for accuracy were .89 for no prior experience and .78 with prior experience. A t-test was performed which revealed that this difference was not significant, 1, (261) = 1.52, p = .129. On the basis of these considerations, prior experience was not included as a covariate. The correlation between ACT language scores and accuracy was .09. Though this amounts to only 1% of the variance of the scores, the superiority of the measurement compared to that for prior experience, and lack of guidelines for anticipating magnitude of effects due to type, macrostructure and cues, general language skill was retained as a covariate. After the main analysis was performed, it was observed that the contribution of the covariate was not significant, 13(1, 250) = 2.74, p > .05. The first hypothesis identified above was that if a natural language argumentation schema was operating, subjects would reconstruct the arguments with a higher proportion of accuracy when text cues are more elaborate. The results, however, show no main effect for cues, F(1, 250) = 0.297. While the argument types were chosen because it was assumed that they would all be equally familiar to the average person, the analysis revealed that there was a remarkable effect for argument type E(2, 250) = 37.73, p < .001. Subjects found sign reasoning far easier to comprehend than either causal reasoning or the fallacy of accident. The means for the three argument types were .30 for causal reasoning, .59 for sign reasoning and .38 for the fallacy of accident. The mean accuracy for coordinate macrostructure (.44) was higher than that for subordinate macrostructure (.40), but this difference was not 55 significant F_(1, 250) = 2.61, p > .05. Note that the argument type by macrostucture interaction was significant, however, E(2, 250) = 5.84, p > .05. In view of this, each of the argument type conditions was examined to determine whether a simple main effect for macrostructure was present. For subjects in the sign reasoning condition, the simple main effect for macrostructure was significant, E(1, 84) = 16.74, p < .001, whereas this was not the case for causal reasoning, E(1, 9)1 = 0.22, p = .64, nor accident, E(1, 82) = 0.15, p = .71. These tests of simple main effects were computed using the error terms from only those cases included in each condition rather than the error term from the entire sample as a test of homogeneity of variance was not performed. Neither did the analyses include the covariate, which contributed little to the results of the main analysis. The remaining two-way interactions (type x cues, macrostructure x cues) and the three-way interaction were not significant. Table 1 Analysis of Variance, Study I f ri i n f i ifi n f F Covaritate; ACT .148 1 .148 2.735 .099 Argument Type 4.079 2 2.040 37.727 .000* Macrostructure .141 1 .141 2.607 .108 Cues .016 1 .016 .297 .586 Type x Macro. .632 2 .316 5.842 .003 Type x Cues .122 2 .061 1.127 .326 Macro. x Cues .030 1 .030 .554 .457 Type x Macro x Cues .131 2 .066 1.213 .299 Explained 5.232 12 .436 8.064 .000 Residual 13.516 250 .054 Total 18.748 262 .072 StmbLII The data for Study II were analyzed using 3 x 2 x 2 x 2 design with type of argument, macrostructure and level of cues as between-subjects factors and schema relevance (relevant and irrelevant information) as the within-subjects factor. Analysis was performed using the SPSS-PC MAN OVA routine. The fourth hypothesis, that subjects would recall a greater proportion of schema-relevant propositions than schema-irrelevant propositions, was supported with E(2, 179) = 3.67, p = .027. (3’5 reported in this section are those calculated from Pillai’s Trace statistic. See Table 2, below.) The remaining results for this study parallel those of Study I. There was a main effect for argument type, E(4, 360) = 7.97, p < .001, and a significant type x macrostructure interaction, E(4, 360) = 4.52, p = .001. As in Study I, cues had no effect, E(2, 179) = 0.931, p = 0.396, and the remaining two-way interaction and the three-way interaction were not significant. Table2 Analysis of Variance, Study II. o__ ‘0 4.10; " i’ intro; 0.100.-. _-_l0_0 unit on '0 Within subjects effect: Relevance .03941 3.672 2 179 .027 Argument Type .16273 7.971 4 360 .000 Macrostructure .00721 0.650 2 179 .523 Cues .01030 0.931 2 179 .396 Type x Macro. .09566 4.521 4 360 .001 Type x Cues .03440 1.575 4 36) .180 Macro. x Cues .02147 1.964 2 179 .143 Type x Macro. x Cues .02446 1.114 4 360 .349 Discussion While only one of the four hypotheses in the two studies were supported, the results indicate that what happens when people attempt to comprehend natural language argumentative discourse can be illuminated by the theory of argument schemata. In developing the story about what happens when people attempt to comprehend arguments it was claimed (above, p. 29) that “Only if subjects reconstruct these [links within simple arguments] correctly will they be able to recognize the structure (coordination or subordination) of complex arguments.” It was not intended that this implication of the theory be tested, since an attempt was made to select types of reasoning that the author thought would be equal with respect to comprehension. However, the fact that sign reasoning turned out to be far less difficult for the subjects to comprehend suggests an explanation for the type x macrostructure interaction. When subjects were confronted with an example of sign reasoning, the three internal propositional links fell into place for them more easily so that the macrostructure was more clear. That overall comprehension was better was reflected in the higher accuracy scores for coordinate macrostructure as opposed to subordinate macrostructure when the type of reasoning in the simple arguments was familiar to the subjects, specifically, in the case of sign reasoning. As reported above, for subjects in the sign reasoning condition, the simple main effect for macrostructure was significant whereas this was not the case for causal reasoning nor accident. This supports the claim that comprehension of the macrostructure of complex arguments is contingent upon familiarity with the types of reasoning used in the simple arguments. Since the pattern of 57 58 significant results was identical in both studies, the overall outcome of the two studies may be interpreted as supporting the idea that, for argument types with which the average person is familiar, a schema is operating that influences the information listeners retain accurately when exposed to spoken argumentative discourse and that comprehension of the structure of complex subordinate or coordinate arguments is contingent upon familiarity with the type of simple arguments making up those structures. Though the author assumed that causal reasoning and the fallacy of accident are included in the average persons repertoire of familiar argument types, this is apparently not the case. Though pe0ple may use the fallacy of accident themselves, and though they may fall victim to it occasionally, perhaps when listening to arguments under the conditions of these studies their focused attempt to comprehend the arguments caused them to notice “something fishy” about the accident arguments which interfered with their comprehension. If, indeed, this is what is happening, then from the point of view of prescriptive logic, this is a happy result. More importantly in terms of this investigation, if the fallacy of accident is not in the average person's repertoire of argument forms, that would be consistent with the theory developed in the introduction, viz., that there must be a natural language logic that leads us, more often than not, to true conclusions about the world in which we are trying to survive. As defined above, the fallacy of accident amounts to over-applying a generalization, which habit would not seem to have survival value. It may be disturbing to contemplate subjects' poor performance with causal reasoning, which seems to indicate that this form of reasoning is somewhat too sophisticated to be included in the average persons repertoire. It should be pointed out, however, that this finding may also be 59 consistent with the survival-value assumption. For getting through life, being able to detect “signs” indicating the presence of absence of beneficial or harmful phenomena may be quite enough, and being able to reason about the causes of those phenomena may very well be a sophisticated embellishment not developed to a significant degree in the average person, despite Virgil's dictum “Happy is the man who knows the causes of things.” In a study of argument recognition, van Eemeren and his colleagues (1985) discovered that the only one that had any effect on subjects’ ability to recognize arguments was the inclusion of premise or claim markers — words like “so,” “because,” “therefore,” etc. For this reason, it was thought that such cues would aid comprehension of argument structure in the present studies. While these cues may help people recognize arguments, they don’t seem to make a difference in subjects’ ability to comprehend argument structure. Contrary to hypothesis 1 for Study I, surface cues — at least those used to indicate argument microstructure — seem to have little effect on helping subjects reconstruct argument structure accurately. The failure of these studies to detect a main effect for cues, however, is an ambiguous outcome with respect to the theory that there are argument schemata implicated in the production and comprehension of argumentative discourse. It was mentioned above (p. 31) that if differences in schema produce a difference in Processing We. that difference could be attributed to differences in schema applied rather than differences in surface cues. Since no differences were found for cues, the theory suggests that the schema accounted for the differences observed. Nevertheless, since the theory posits cooperation of text cues and schema, a) an alternative explanation is required for the observed differences in interpretation despite lack of observed differences for surface cues. It may be argued that these studies simply failed to isolate the relevant surface cues, and that some obvious marker, or set of markers, does indeed exist as the surface cue that influences subject responses. A less ad hoc, more cognitive explanation, however, is that subjects’ comprehension of the meaning of the propositional content of the statements in the text is the primary cue that determines what schema will be applied, with or without the help of surface cues. Consider the author’s following favorite example used to demonstrate the operation of implicit schemata to students of argumentation classes: A: John left for the grocery store. He had noticed that it was raining heavily outside. B: John’s no champ. He hadn’t fought everybody. Prior to discussion of argument structure, students in introductory courses typically identify example A as a narrative, whereas B is typically identified as an argument. There are no obvious surface cues to distinguish the two examples, however. The only cues available in each case seem to be the juxtaposition of two sentences and the anaphoric link between ‘John’ in the first sentence and ‘he’ in the second. Stenning (1978) argues convincingly that success in attempting to make sense out of pairs of sentences linked in this way does not depend on surface cues, but on the hearer/reader supplying a cognitive interpretation — a context — that renders the pairs coherent. The enormous number of contingent rules that would be necessary to render such texts coherent if success depended on surface 61 cues alone makes the alternative theory far more attractive. What seems to be happening here is that when two sentences are grouped together, pe0ple assume that they are intended as a single coherent text and attempt to interpret them that way, applying various schemata with no help from surface cues to indicate what schema is appropriate. The two sentences in A can be interpreted as a coherent unit if the reader interprets them as a narrative. Whereas, if they try to apply argument schemata, coherence is more difficult to obtain. E.g., “John noticed it was raining heavily outside, therefore he went to the grocery store” can only be assumed coherent if we add the assumption that “John always goes to the grocery store when it rains heavily.” Since this assumption seems peculiar to most people, they are reluctant to interpret the text as an argument. By contrast, they are apparently not reluctant to supply the warrant “A champ has got to fight everybody,” which renders B coherent as an argument. The prediction that surface cues would make a difference was based on a concession to the literature (van Eemeren, et al., 1985). The failure of these studies to support that prediction may be attributed to differences in task (merely recognizing arguments versus recalling argument structure) rather than to a weakness in the composite theory. That theory asserts that successful comprehension depends on both schema and surface cues and thus that there should be an effect for schema beyond that accountable for surface cues alone. The pattern of effects observed in these studies supports that claim. A discovery made by a research assistant in the process of coding the subjects’ protocols may indicate that the errors that led to inaccuracy were somewhat systematic and, in fact, indicated a straining toward accuracy. What was discovered was that subjects seemed to exhibit distinct 62 processing biases. In many cases where the subjects were coded as inaccurate because their responses failed to accurately match linked proposition pairs, their responses seemed to exhibit specific patterns, i.e., their failure to match the original structure seemed due to the fact that they were looking for something else. In terms consistent with the theoretical foundation for these studies, a different schema was operating, or the schema was applied using a different strategy. In other words, the subjects exhibited processing biases. They are referred to as “processing biases” rather than simply “processing errors” because it was often the case that the same subject committed the same type of error in more than one of the three arguments processed, and different subjects would often exhibit the same type of error. If their responses were simply random, to say that subjects were employing a different schema would be an ad hoc modification of the theory, i.e., the theory would be unfalsifiable if we were permitted to say merely that “another schema was operating” any time the results were insignificant. Since the possibility of processing biases was not considered beforehand so that no attempt was made to control for that variable, all that can be said for the present studies was that inaccurate responses represented random individual differences. The'discovery of possible processing biases suggests, however, that in future studies of this type, error can be reduced by being aware of some of the processing biases (alternate schemata or strategies) that subjects can employ. The processing biases exhibited are interesting in that it is relatively easy to classify them in a manner that relates them to the hypothesized schema. One such bias may be called “extracting a warrant.” This consisted of reducing the entire complex argument to a single warrant. In these cases, the subjects simply reported the warrant that was explicit in 63 the stimulus argument. For example, given the following stimulus argument Henry the Eighth probably died of scurvy. He had wild mood swings and a collapsed nose — typical symptoms of scurvy. Also note that like most of the upper-class of Tudor England, he treated fruits and vegetables as unfit to eat. the subject exhibiting this kind of bias produces a reconstruction that reduces the entire argument to a single rule-like statement, such as “Mood swings and collapsed nose are symptoms of scurvy.” An explanation for this effect might be that the subject approaches the task with the assumption that the most important element to grasp in any argument is the general rule which justifies the inference from data to claim. Obviously, the warrant is pivotal in the Toulmin model, and grasping the function of a warrant may be an early step in the development of a person’s ability to comprehend arguments. This bias represents a lack of pragmatic sophistication, however. It is not pragmatically correct to assume that the warrant is the most important element to grasp in all arguments, since often the source assumes that the warrant is well known to the receiver so that providing the data is source’s primary concern. If this is the nature of the error that occurs in these cases, it is consistent with a kind of error that is commonly observed in psycholinguistic studies of the acquisition of grammatical rules. When children learn a rule of grammar, they tend to over-apply it at first, and only later learn to limit application according to exceptions to the rule. For example, children are observed to make accurate tense distinctions with 64 irregular verbs the uses of which they have apparently learned separately first, as in “I go outside” versus “I went outside.” Later, the child learns the rule for the formation of past participles and the formerly correct constructions are replaced with incorrect ones that appear to represent over-application of the past participle rule — “I went outside” is replaced with “I goed outside.” Finally, the child learns the exceptions to the rule (irregular verbs) and correct construction returns. The suggested analogy to the habit of “extracting a warrant” is that people first learn of the importance of grasping the warrant to comprehending arguments and only later learn that sources often intend the data as the rhetorically crucial information to be grasped in their arguments. Another processing bias observed might be called “vertical simplification” (to distinguish it from “horizontal simplification,” described below). This consists of failing to reconstruct intermediate steps in subordinate arguments, the subjects’ protocols indicating links between the data or warrant of the first argument in the chain and the main claim, without mention of the intermediate claim). For example, given the following stimulus argument Lots of times people try to follow those textbook formulas for impression management and come off appearing stiff — unreal, you know? Jimmy does that — Jimmy from French class — he really believes that stuff, okay? So people get that kind of impression of him. I mean, like, “Where’s this guy comin’ from,” y’know? So, they naturally don’t like him very much at first. 65 a subject might produce a protocol that reads “When people use textbook formulas for their image they appear stiff and unreal. That’s why they don’t like Jimmy at first.” The intermediate claim, “People get the impression that Jimmy is stiff and unreal,” is left out of the subject’s reconstruction. It is difficult to describe this bias as an error at all, since the main claim is correctly identified and the direction of support is retained. Also note that the same pressures that motivate the production of enthymemes may be used to explain this bias. Finally, some subjects exhibited “horizontal simplification.” In this situation, subjects collapsed coordinate structure (two simple arguments supporting a claim independently) to a simple argument, i.e., they phrased their protocols in a manner that indicated all premises supporting the main claim were premises of a single argument. For example, given the stimulus argument used previously concerning Henry the Eighth, the subject might write, “Henry the Eighth probably died of scurvy because he had wild mood swings, a collapsed nose and didn’t eat fruits and vegetables.” In this case, the fact that two warrants are required for the argument to fit the schema is not reflected in the subject’s reconstruction and the data from the coordinate arguments are presented in such a way as to suggest that the subject regarded all the data items as belonging to a single simple argument (wild mood swings, a collapsed nose and not eating vegetables are regarded as data relative to a single simple argument.) This last bias posed a coding problem due to the fact that one of the hypotheses predicted greater comprehension for coordinate arguments. The original coding instructions defined links between propositions only. Which propositions are linked incidentally distinguishes simple 66 arguments from subordinate arguments (the two data elements are linked to different claims), whereas it doesn’t distinguish simple arguments from coordinate arguments (the data elements from the two arguments are linked to the same claim). Thus there was no way, given the original coding instructions, for identifying protocols like the one in the last example (where a subject gives no indication of recognizing coordinate structure) as inaccurate. This could have resulted in a distortion in favor of accuracy in coding coordinate arguments, since examples of the type just illustrated would have all been coded as accurate though the protocols reveal no evidence that the subject recognized the coordination. Once this bias was brought to the attention of the author, however, a computer-aided search of all those cases coded as accurate in the coordinate argument conditions were reviewed. If there was no indication that the subject recognized the coordinate structure of the stimulus arguments, their responses were recoded as inaccurate. The remaining uncoded protocols were then coded in the same way. The necessity of defining criteria for determining whether the subjects recognized coordination led to another discovery that may be of some interest. In both the arguments constructed for the study and the subjects’ protocols, there were some identifiable surface cues that appeared to be used to indicate coordination — i.e., distinct phrases that indicated that there two different arguments supporting the same claim. The phrase “....Also note” in the Henry the Eighth example seems to serve this function. The phrase (plus the fact that it begins a separate sentence from that in which the data from the other argument is presented) seems to be designed to indicate that the following data is distinct in some way, perhaps because it belongs to a separate, coordinate argument. Other such 67 coordination markers were “....Besides,” “....And, besides,” etc. “Furthermore,” “In addition,” “Not only that, but,” may be pragmatically synonymous expressions, though they did not appear in the stimulus arguments nor in subjects’ protocols. Note that each of the processing biases discussed above, far from indicating mere randomness in the “incorrect” responses, indicate that, with refinements, the proposed schema could account for even more of the variance than in the present studies. The biases discussed above can be integrated into the theory without great difficulty. For example, the tendency to “extract a warrant” indicates that the subject habitually seeks out the general rule when attempting to comprehend an argument. This is encouraging considering the importance of the warrant in making the argument work logically. It can be dysfunctional, however, because, as mentioned above, in those arguments where the speaker assumes the hearer knows the general rule, the pragmatically crucial element is the new data provided. Thus, a processing bias that favored extracting the warrant would mislead the bearer in many cases, because the crucial information from the speaker’s point of view might not be comprehended by the hearer who, focusing exclusively on the warrant already taken for granted (“given” information) by both of them, might accuse the speaker of stating the obvious, while missing the pragmatically crucial data (the “new” information). These processing biases could easily be made the subject of future studies. Familiarity with the kinds of processing biases for arguments can be used as guides for the construction of arguments in such a way as the compensate for these differences, if, for examme, there are certain modes of presentation that overcome these biases. 68 One outcome of these studies that calls for comment is the overall low level of accuracy in subject responses. In Study 1, the untransformed mean percent of accuracy across all conditions was only 21.4%. The means for the three argument types were 33.1% for Sign, 18.6% for Accident and 13.1% for Cause. These results may be interpreted as bringing into serious question the impact of the logos dimension of messages, and may seem to invite the conclusion that people are not logical. It is important to keep in mind, however, that the immediate purpose of this investigation is to describe the logic that people use, not to evaluate their performance relative to philosophical logic. Consequently, “accuracy” as used in these studies refers to the degree of agreement between subjects' observed performance and the model of a schema that is hypothesized as underlying that performance. Accuracy, then, is not necessarily a measure of their logic in a philosophical sense, rather it is a measure of the extent to which their behavior can be accounted for by the model. Furthermore, it must be emphasized that most of the stimulus arguments were imbedded in conversational, highly colloquial speech, with either relatively simple argument markers, as discussed above, or the absence of markers in the low-cues conditions. Note also that up to half the information contained in the texts was deliberately generated as schema- irrelevant, no attempt was made to ensure the clarity of argument structure and the topics of the arguments were relatively innocuous so that there was little likelihood of high involvement. (See Appendix, pp. 5-9.) Taking these conditions into consideration, together with the possibility of processing biases, the accuracy scores need not be interpreted as low. AS does not purport to model everything that happens when people attempt to @ comprehend arguments and it is as important to understand the limitations of logos as it is to understand the form that logos takes in natural language. It is expected that in future studies a clearer picture will emerge concerning the variety of forms constitute the logic of natural language, as well as a clearer picture of the variables that limit that logic. Note also that the very conditions referred to above as possible explanations of low accuracy scores—colloquial speech, simple argument markers, and inclusion of schema-irrelevant information—suggest methods that may be used to enhance the comprehension of the logical structure of messages and thereby improve argument practice. If arguments are presented in a more elaborated code, with clearer argument markers, with schema-irrelevant information kept more clearly separate, it may be the case that comprehension increases a great deal. All of these suggestions may be empirically tested in order to determine their effectiveness in contributing to logical comprehension. What the studies reported here indicate confirms the assessment stated in the introduction, viz., a natural language logic would have to be complex enough to be account for our ability to construct and comprehend the diversity of arguments as they are presented in everyday life, but not so complex as to render it unlearnable by the average person and incapable of operating at the rapid processing speed required for conversational argument. The patterns of responses exhibited by subjects in these studies provide enough support for the idea that there are identifiable regularities in argument processing to warrant further investigation, and provide valuable leads concerning the direction such investigations may take. APPENDIX Appendix In i In this study, we are trying to find out what kinds of conversational messages are best understood. There is a way to score your results to see how well you understand the messages. The person who does best of the subjects selected for this study will get $5.00. In case of a tie, both of you will get $5.00. Note that I have asked you to put your student number on the front page. This is so that I can locate the winner and so I can obtain information your prior education in language skills. The results of this study will be held in strictest confidence, as is standard with research, and will not become part of your University record. I have taken 4 exerpts from actual transcribed conversations and have had them performed by an actor so that they would sound clearer. In each case the speaker is making an argument, i.e., stating his or her position and supporting it. The passages may contain some extraneous material. Your task is to listen carefully to each passage and then, after you have heard the entire passage rewrite it in your own words, writing down only the essentials—just the gist—of the speaker's arguments as if you were speaking them yourself. Don't try to memorize the passage word for word. You may leave out anything that you think is unnecessary to the argument. For example, if the speaker says: You know Dr. Smith from Social Science? Well, I think he's the best professor at this school. He teaches History mostly, I think. He's good because he almost never gives F's and at least a third of the people in his classes get A's. So I think you should take him. You might rewrite the passage as follows, as if stating the argument yourself: "Dr. Smith is the best professor at this school, because he almost never gives F's and at least a third of the pe0ple in his classes get A's. So, I think you should take him." Repeat: listen carefully to each passage and then, after you have heard the entire passage rewrite it, writing down only the essentials of the speaker's arguments as if you were speaking them yourself. You will be given a little less than a minute to rewrite after each passage, then you will hear my voice on the tape instucting you to go on to the next page. 70 71 mm In this study, we are trying to find out what kinds of conversational messages are best remembered. There is a way to score your results to see how well you remembered the messages. The person who does best of the subjects selected for this study will get $5.00. In case of a tie, both of you will get $5.00. Note that I have asked you to put your student number on the front page. This is so that I can locate the winner and so I can obtain information your prior education in language skills. The results of this study will be held in strictest confidence, as is standard with research, and will not become part of your University record. I have taken 4 exerpts from actual transcribed conversations and have had them performed by an actor so that they would sound clearer. Your task is to listen carefully to each passage and then, after you have heard the entire passage write the passage out on the form provided as well as you can recall it. You will be given a half-minute to rewrite after each passage, then you will hear my voice on the tape instucting you to go on to the next page. 72 Table of Means, Study I Macrostructure Coordinate Subordinate Cues Lo Hi Lo Hi Cause .35 .21 .30 .32 (26) (22) (21 ) (24) Argument Type Sign .64 .72 .50 .50 (21) (21) (19) (25) Accident .38 .35 .39 .39 (18) (20) (23) (23) Table of Means, Study II (collapsed across variable Cues) Macrostructure Coordinate Subordinate Relevance Relevant lrrel Relevant lrrel Cause 1 .38 .45 1 .07 .58 (34) (34) (35) (351 Argument Type Sign 1 .43 .38 1.62 .44 (29) (29) (32) (32) Accident 1 .27 .72 1.38 .71 (30) (30) (33) (33) W The following is a list of all stimulus messages used in both studies. (Material in brackets indicates items that were considered schema- irrelevant for Study II.) C 1. rin w [Don't worry!] [You're always such a worry wort.] It's gonna be a success! If you're gonna have a really good party, you gotta limit it— y'know?—to just friends. And you sent invitations, right? ['Course, they're not exactly the same people I would invite—just kidding!] And your're good at keeping them mixing, too, [y'know—ha, ha!—that interpersonal stuff] [Thank God it's Friday!] [I don't have a whole helluva lotta cash.] But, whenever you really wanna relax, I think it takes less to get you drunk. An' I tell you, if ever there was a weekend I could use some relaxing, this is it. [Have you finished that term project?] 'Course, I haven't had much to eat today, either. It's not gonna take me much to get a good buzz on. [He doesn't speak their language, you know what I mean?] Like, he doesn't know what their concerns are. N o, I don't think he'll win. [Not much of a chance] If people are gonna vote for you, [you gotta you gotta know where they're comin from]—you gotta understand their concerns. Besides, he doesn't act like a winner. MW Lots of times people try to follow, y'know, those textbook formulas for impression management and come off appearing stiff—unreal, you know? [They go right down the checklist] Jimmy does that—[he really believes that stuff, okay?] People usually get that bogus impression of him. [I mean, like, "Where's this guy commin' from," y'know?] And naturally they don't like him very much at first. [You hear what I'm sayin' girlfriend?] If your gonna forget about it, you gotta keep telling yourself that it wasn't right for you, otherwise it lingers. But you don't tell yourself that; [you just hang around, waitin' for it to fade away] Of course it lingers! And then you got that bad attitude with the next dude, like he's gonna disappoint you, too. [You never just END it!] [Look at this stuff comin' down.] Maybe school'll be closed tomorrow. This is gonna be an ice storm. [We had one last year, remember?] [Or maybe that was back home] Anyway, when it's freezing down below, this here drizzle builds up on whatever it touches, an' we've had freezing weather for—what?—a week? [Hey, I could use a day off] 74 i ri 7. [Did you see Jerry last night?—Jerry from nextdoor?] He's got those ikky red spots all over, an' he's tired all the time. Aren't those signs of AIDS? An' you know he'll sleep with anybody, [really, what a sleaze] I bet he's got AIDS. [Not that I'd wish it on anybody] 8. Henry the Eighth probably died of scurvy. [Do they still call it scurvy?] Anyway, he had wild mood swings and a collapsed nose—typical symptoms of scurvy. Also, [like most of the upper—class of Tudor England,] he treated fruits and vegetables as unfit to eat. [Imagine a king dying of malnutrition!] 9. If a person thinks that all who disagree with him are all equally wrong, he's what they call a dogmatic personality. That's just what you get with racists. [You know the type?] Another thing is the way they feel an overwhelming need to spread the word. [Mostly I think that's to convince themselves] I would say that racists are mostly dogmatics, yes. Sin/ ri 10. [Yeah, right, he may be cute, but,] face it, he's a jerk, if you ask me. If all a guy does is talk about himself and his sexual prowess, that makes him a jerk in my book. [I can't stand when they do that!] And who do we know talks that stuff? Like ALL the time. You know who! I'd say you better dump him quick. [Just be brave!] 11. I know they'll let us spend the night together. [I don't think we have a thing to worry about] They think of you as perfect for me. I told them all about you, about how ambitious you are—[W ell, you arell—and how you treat me right. That's what makes a perfect husband in my parents eyes. 12. [They announced this here scholarship, y'know, for star students, I guess, an' Jeff says he's gonna apply.] I don't think he's exactly what you'd call a star student. [I just don't see it.] You gotta study and it helps if you do your own work. And he never cracks a book and he's always asking to see other people's homeworks. Ain't no way he'll get that scholarship. A'i [C l' 1 C 13. [No, he lives in Colorado, not Arizona] Anyway, he hasn't called me in four days. Now, when people are in love they want to communicate, right? And, really, when he calls he never talks about us much, [he just talks about his job and school an' like that] [I mean who cares?] Him sayin he loves me, an' all? I don't buy it. [It's just talk.] 75 14. This is a democracy—everybody's supposed to be part of the decision 15. A 16. 17. 18. making process. [How come only one person gets to decide what our grade is?] The whole class should should do the evaluation. [Think of the professor as someone whose job it is to just TEACH] [That makes sense to me] That's what they did in Russia, I believe, during the revolution. [See this here in the paper?] The University has no right to say a fraternity can't sell their calendar on campus, y'know, the swimsuit thing they tried to sell in M0 Hall? This is a free country right? I mean, freedom of speech? You can't be havin' no censorship in a free country. [Who they think they are?] And they ain't our parents or guardians, either. in rin [You know who she is? The attractive blonde two doors down?] Yes, well, she gives her kid wine every evening with supper. [And she's involved in a custody suitl] No one under twenty-one is supposed to drink in this state—she's in violation of the law! I'd say that makes her irresponsible as a parent, wouldn't you? There are a lot more gay people around then you might think. Well, sexual activities with members of the same sex means you're gay, right? And it says right here that almost everybody tries that when they're growing up. [J eez, how do they get up the nerve to ask people that stuff? Imagine if you had to do that for a living—go around and do those interviews?] Like I said, we live in very confused times when it comes to sex. [Mark, the fool, just went right down and signed up, y'know?] You have to snort cocaine! Cocaine, man, that stuff is addictive. [Professor what's-his-name?—down in social science?—is running the thing] [I don't care if it is a psych experiment]—you could become an addict! Hey, there's no way I'm signing up. [Mark can do it if he wants] D [C l' 11.] C 1. [Don't worry!] [You're always such a worry wort.] It's gonna be a success. Because, if you're gonna have a really good party, you gotta limit it—y'know?—to just friends. And you sent invitations, right? ['Course, they're not exactly the same people I would invite—just , kidding!] And your're good at keeping them mixing, too, [y'know—ha, hal—that interpersonal stuff] [Thank God it's Friday!] [I don't have a whole helluva lotta cash.] But, whenever you really wanna relax, I think it takes less to get you drunk. An' I tell you, if ever there was a weekend I could use some relaxing, this is it. [Have you finished that term project?] 'Course, I haven't had 76 much to eat today, either. So it's not gonna take me much to get a good buzz on. [He doesn't speak their language, you know what I mean?] Like, he doesn't know what their concerns are. So, no, I don't think he'll win. [Not much of a chance] If people are gonna vote for you, [you gotta you gotta know where they're comin from]—you gotta understand their concerns. Besides, he doesn't act like a winner. 0 IS] 1. 11°10 4. Lots of times people try to follow, y'know, those textbook formulas for impression management and come off appearing stiff—unreal, you know? Jimmy does that—[he really believes that stuff, okay?] So, people usually get that bogus impression of him. [I mean, like, "Where's this guy commin' from," y'know?] So naturally they don't like him very much at first. 5. [You hear what I’m sayin' girlfi'iend?] If your gonna forget about it, you gotta keep telling yourself that it wasn't right for you, otherwise it lingers. But you don't tell yourself that; [you just hang around, waitin' for it to fade away] So, of course it lingers! So then you got that bad attitude with the next dude, like he's gonna disappoint you, too. [You never just END it!] 6. [Look at this stuff comin' down.] Maybe school'll be closed tomorrow. Because, this is gonna be an ice storm. [We had one last year, remember?] [Or maybe that was back home] Anyway, when it's freezing down below, this here drizzle builds up on whatever it touches, an' we've had freezing weather for—what?—a week? [Hey, I could use a day off] Si [C l' III'lC 7. [Did you see Jerry last night?—Jerry from nextdoor?] He's got those ikky red spots all over, an' he's tired all the time. Aren't those signs of AIDS? An' you know he'll sleep with anybody, [really, what a sleaze] So, I'll bet he's got AIDS. [Not that I'd wish it on anybody] 8. Henry the Eighth probably died of scurvy. [Do they still call it scurvy?] We know because, he had wild mood swings and a collapsed nose— typical symptoms of scurvy. Also, [like most of the upper-class of Tudor England,] he treated fruits and vegetables as unfit to eat. [Imagine a king dying of malnutrition!] 9. If a person thinks that all who disagree with him are all equally wrong, he's what they call a dogmatic personality. That's just what you get with racists. [You know the type?] Another thing is the way they feel an overwhelming need to spread the word. [Mostly I think that's to convince themselves] So, I would say that racists are mostly dogmatics, yes. 5' CS] l' '11” Q 10. [Yeah, right, he may be cute, but,] face it, he's a jerk, if you ask me If all a guy does is talk about himself and his sexual prowess, that makes him a jerk in my book. [I can't stand when they do that!] And who do 78 we know talks that stuff? Like ALL the time. You know who! So, I'd say you better dump him quick. [Just be brave!] 11. I know they'll let us spend the night together. [I don't think we have a thing to worry about,] because they think of you as perfect for me. I told them all about you, about how ambitious you are—[W ell, you are!]—and how you treat me right. That's what makes a perfect husband in my parents eyes. 12. [They announced this here scholarship, y'know, for star students, I guess, an' Jeff says he's gonna apply.] I don't think he's exactly what you'd call a star student. [I just don't see it.] You gotta study and it helps if you do your own work. And he never cracks a book and he's always asking to see other people's homeworks. So there ain't no way he'll get that scholarship. Ain ri i 13. [No, he lives in Colorado, not Arizona] Anyway, he hasn't called me in four days. Now, when people are in love they want to communicate, right? And, really, when he calls he never talks about us much, [he just talks about his job and school an' like that] [I mean who cares?] So, him sayin' he loves me, an' all? I don't buy it. [It's just talk.] 14. This is a democracy—everybody's supposed to be part of the decision making process. [How come only one person gets to decide what our grade is?] So, the whole class should should do the evaluation. [Think of the professor as someone whose job it is to just TEACH.] [That makes sense to me] That's what they did in Russia, I believe, during the revolution. 15. [See this here in the paper?] The University has no right to say a fraternity can't sell their calendar on campus, y'know, the swimsuit thing they tried to sell in M0 Hall? Because this is a free country right? I mean, freedom of speech? You can't be havin' no censorship in a free country. [Who they think they are?] And they ain't our parents or guardians, either. Ai r' i 16. [You know who she is? The attractive blonde two doors down?] Yes, well, she gives her kid wine every evening with supper. [And she's involved in a custody suit!] No one under twenty-one is supposed to drink in this state—so, she's in violation of the law! I'd say that makes her irresponsible as a parent, wouldn't you? 17. There are a lot more gay people around then you might think. Well, because sexual activities with members of the same sex means you're gay, right? And it says right here that almost everybody tries that when they're growing up. [J eez, how do they get up the nerve to ask people 18. 79 that stuff? Imagine if you had to do that for a living—go around and do those interviews?] So I say, we live in very confused times when it comes to sex. [Mark, the fool, just went right down and signed up, y'know?] You have to snort cocaine! Cocaine, man, that stuff is addictive. [Professor what's-his-name?—down in social science?—is running the thing] [I don't care if it is a psych experiment]—you could become an addict! Hey, so there's no way I'm signing up. [Mark can do it if he wants.] LIST OF REFERENCES List of References Aristotle. (1952). Rhetoric. (W. Rhys Roberts, Trans), In R. M. Hutchins (Ed.), The great begke 9f the fleetem mgrld. (Vol. 9, pp. 585-675). Chicago: Encyclopaedia Britannica, Inc. Brown, G. and Yule, G. (1983). W. 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