Calhoun: The NPS Institutional Archive Faculty and Researcher Publications Faculty and Researcher Publications 1994 Communication Apprehension, Interpretive Styles, Preparation and Performance in Oral Briefing Thomas, Gail Fann The Journal of Business Communication, Vol. 31, No. 4, 1994 http://hdl.handle.net/10945/46418 This paper introduces the constructs o/interpretive styles from the empowerment literature. It proposes these styles as cognitive variables that shape communication apprehension (CA). We report an empirical study of oral briefings by naval officers. Eesults show thai CA was linked to two interpretive styles: it was positively linked to deficiency focusing (the tendency to focus on what is wrong, can go wrong, and is wrong with oneself) and negatively linked to envisioning success (the tendency to build mental images of succeeding). Results also show that CA diminished performance on the briefing, and that greater preparation was not an effective way of coping with apprehension. Communication Apprehension, Interpretive Styles, Preparation, and Performance in Oral Briefing Gail Farm Thomas Naval Postgraduate School Walter G. lymon, Jr. Villanova Unwersity Kenneth W. Thomas Naval Postgraduate School M any people experience difficulty dealing with the anxiety that may accompany oral communication, particularly if it occurs in a formal setting such as an interview, briefing, or presentation. Research indicates that approximately 60 percent of public speakers experience some anxiety on the day of a speaking engagement (Smeltzer & Waltman, 1984). When 3,000 Americans were asked "What are you most afraid of?" 42 percent said "speaking before a group." Fear of speaking outweighed fear of heights (32 percent), insects (22 percent), sickness (19 percent), and death (19 percent) (Mayer, 1989). In an exploratory study, 140 MBA students described communication episodes that had challenged them at work and revealed that oral communication was the most challenging communication arena. The study also identified "controlling nervousness and anxiety" as the most desired communication skill or ability (Reinsch & Shelby, 1993). Nevertheless, oral communication apprehension has been neglected in the business and managerial communication literature. The primary focus of this study was to test the role of interpretive styles as a contributor to communication apprehension in public speaking. The secondary focus was to study the relationships among communication apprehension, performance, and preparation. COMMUNICATION APPREHENSION Communication apprehension (CA) is defined as ",an individual's level of fear or anxiety associated with either real or anticipated communi311 312 The Journal of Business Communication 31:4 1994 cation with another person or persons" (McCroskey, 1970,1977, 1984). Although CA has been examined with respect to written, telephone, and face-to-face oral communication (Daly, 1985; Reinsch, Steele, Lewis, Stano, & Beswick, 1990), these literatures are relatively separate from each other. Here, we will focus on the face-to-face oral CA literature, and the term CA wiU mean oral CA. CA is typically divided into "state and trait" aspects. State CA is specific to the immediate communication episode that the person is facing, for example, an interview. It is anxiety experienced in the "here and now" (Booth-Butterfield & Gould, 1986). Trait CA has been defined as "a relatively enduring, personality-type, orientation toward a given mode of communication across a wide variety of encounters" (McCroskey, 1981). Thus, trait CA scores for an individual would be expected to be consistent over time and context, barring an intervention program. Job performance has been found to be inversely related to trait CA (Penley, Alexander, Jernigan, Henwood, 1991; Pitt & Ramaseshan, 1990). Tb avoid communication, high apprehensives have been found to select occupations that involve low communication requirements (Daly & McCroskey, 1975). Additionally, high apprehensives have been reported to be less likely to desire advancement than others, since they foresee that such advancement would increase the communication requirements imposed on them (Scott, McCroskey, & Sheahan, 1978). Conversely, Stark, Morley, and Shockley-Zalabak (1987) reported that low apprehensives deliberately sought out and occupied jobs with significant communication requirements. During presentation episodes, high state CA has been shown to be related to excessive attention to self, which results in poorer performances in public speaking situations (Daly, Vangelisti, & Lawrence, 1989). Speakers experiencing state CA, because they are more self-focused, miss external cues, and thus lose some of the opportunities they may have to adapt to audience reactions. The ability, in a public speaking situation, to determine whether the speaker's point is being understood or whether the audience is paying attention is critical. For these reasons, understanding and coping with CA is important to public speakers (Daly, Vangelisti, & Lawrence, 1989). THE ROLE OF COGNITION IN COMMUNICATION APPREHENSION Earlier work in CA investigated conditions that might trigger high state CAin various communication situations, but recent studies conclude that situational variables are relatively unimportant predictors of state CA (Ayres, 1990; Beatty, 1988; Beatty, Balfantz, & Kuwabara, 1989, Beatty & Friedland, 1990; Buss 1980). Current research seeks to understand the role of cognitions in determining levels of CA and communication behav- Oral Briefing / Thomas, Tymon, Thomas 313 ior (Booth-Butterfield, 1990). This trend mirrors the growing emphasis on cognition in the larger field of stress and anxiety (for example. Beck & Emery, 1985; Dewe, 1992; EUis & Dryden, 1987; Lazarus & Folkman, 1984; Sarason, 1984). One major issue in the CA literature involves the way in which biases in cognitive assessments affect CA and how this may lead to dysfunctional communication patterns (Booth-Butterfield, 1990). Cognitive models associated specifically with CA have been sparse, and the few studies that examine the link between cognitions and oral CA have been exploratorj^. These studies have found that high trait CA individuals exhibited more negative thinking before a public speaking situation and were more concerned with evaluation, performance, and self-related issues than low apprehensives. Conversely, low apprehensives had more positive thoughts and were considerably more taskfocused (Ayers, 1988; Daly & Lawrence, 1985; Daly, Vangelisti, Neel, & Cavanaugh, 1989). However, we found no work that has developed comprehensive models of cognitive patterns involved in oral CA and has tested such models. Cognitive models of oral CA could provide clearer guidance for cognitive-based interventions for high CA individuals. Several cognitive interventions for oral CA have been reported in the literature, employing methods borrowed from various clinical schools of thought (Ayers, 1988; Ayres & Hopf, 1992; Beck & Emery, 1985; Ellis, 1962; Meichenbaum, Gilmore, & Fedoravicius, 1971). These interventions attempt a "cognitive restructuring" (Glass & Shea, 1986) of high trait CA inidividuaJs. Similar forms of intervention have proven successful in treating anjdety in non-communications contexts (Beck, 1993; Ellis, 1977; Meichenbaum, 1977). However, without a clear model of the cognitions that stimulate oral CA, change agents have had to spend time identifying cognitions that increase CA for specific individuals—before they can modify those cognitions. In contrast, a tested cognitive model of CA might identify cognitive patterns that contribute to high trait CA in many individuals, and thus guide more efficient interventions that directly tairget those patterns. THs study attempts to contribute to the development of such a model by testing the role in CA of four particular dimensions of cognitive habits, or interpretive styles. These interpretive styles are discussed in the following section. INTERPRETIVE STYLES Thomas and Ms colleagues have studied the relationship of interpretive styles to stress within an interpretive model of task empowerment (Thomas & lymon, in press; Thomas & Velthouse, 1990). Thomas and his colleagues believe that stress and other affective states are based on conclusions that people reach about themselves in relation to a task. These conclusions are based only partly on objective facts. Tb derive conclusions 314 The Journal of Business Communication .31:4 1994 from facts, people must also add elements of interpretation. Initially, Thomas and Velthouse (1990), identified three interpretive processes: evaluation of the goodness or badness of outcomes, attribution of causes for successes (good outcomes) or setbacks (bad outcomes), and envisioning of possible future events. Interpretive styles are characteristic biases in how people perform these processes. Different interpretive styles, then, can lead people to different conclusions about a task, even when given the same facts. In a test of the theory, Thomas and lymon (in press) used factor analysis on data from managers to identify three distinct dimensions of interpretive style: deficiency focusing, skill recognition, and envisioning success. Deficiency focusing is the tendency to focus upon what is wrong when evaluating one's performance, on what can go wrong when envisioning the future, and on what is wrong with oneself when attributing the causes of setbacks. Deficiency focusing was related to higher levels of stress symptoms and lower job satisfaction. SkiU recognition is the degree to which people attribute their successes to their abilities, that is, see positive outcomes as evidence of skill. Skill recognition was related to lower stress levels and higher feelings of competence. Envisioning success is the tendency to have positive images about futxire task outcomes, that is, to buHd mental images of succeeding. Envisioning success was related to lower stress levels and greater job satisfaction. In other work, Thomas and lymon (1992) have added a fourth dimension of interpretive styles—necessitating—^based in part on Ellis' (1987) notion of necessitous thinking. This tendency involves the process through which people decide whether to pursue a given goal or perform a possible action. Necessitating refers to the degree to which people think in terms of what they "have to do" or "need to do" rather than what they want or choose to do. Thomas and lymon believe necessitating contributes to stress by adding to experienced task pressure. Thomas and lymon have developed a self-report measure of the four interpretive styles of deficiency focusing, skill recognition, envisioning success, and necessitating. In a study of this instrument, using 142 parttime MBA students, Thomas and lymon (1994) provided additional support for the factor structure and showed acceptable reliabilities for the four scales. This study found that deficiency focusing, necessitating, and low sMll recognition were related to higher stress symptoms. According to Thomas and Tymon (1992), stress occurs when people conclude that events place excessive demands upon them. This general conclusion, in turn, depends upon more specific judgments of "one's abilities, of how well one is actually performing, of what may go wrong, and how necessary it is that one meet a demand" (Thomas & Tymon, 1992, p. 1). The interpretive styles bias thinking to distort these judgments and to 315 Oral Briefing/ Thomas, "lymon, Thomas exaggerate the individual's conclusion of the severity of the situation. We propose that very similar judgments are involved in an individual's apprehension with respect to the task of oral communication. Many itecas in self-report measures of CA, in fact, tap these sorts of judgments. Examples are "I think I make a poor impression when I speak at a small group meeting," and "I feel disappointed in myself after speaking in public" (Booth-Butterfield & Gould, 1986). More specifically, the four interpretive styles might be expected to contribute to CA as follows: High deficiency focusing would contribute to negative cognitions about what could go wrong in an upcoming presentation, about how much is going wrong during a presentation, and, after the presentation, to an exaggerated sense of one's shortcomings as a speaker. Low sMli recognition would make individuals less likely to give themselves credit for successes during public speaking (for example, attributing favorable audience reaction to luck, helpfromothei"s, or kindness from the audience), so that their self-confidence at public speaking would remain low. Low envisioning success would mean that individuals have fewer thoughts about liow presentations could go well, thus leaving more room for negative imagery. High necessitating would add to the pressure experienced in public speaking by placing inflexible demands on oneself (for example, that one must perform well, get an A, or maintain eye contact at all times). MODEL AND HYPOTHESES Figure 1 shows the model that forms the basis for this study. Variables are shown in boxes. The solid arrows represent hypothesized relation- Preparaiion i Interpretive Styles -;+ --> T Perforrtianie i\ + -" » Appreiiension Success --* Figure 1. Relationships tested in this study. State Communitptron 'ipprehension 316 The Journal of Business Communication 31:4 1994 ships between variables. Dotted arrows represent additional relationships that are tested in more exploratory fashion. The primary focus of our study is on the relationship of interpretive styles to trait CA. We propose that the interpretive styles will infiuence the types of conclusions that one makes about oneself in relation to the task of public speaking. Specifically, we hypothesize that: Hi: Deficiency focusing and necessitating will be positively related to trait CA. H2: Envisioning success and skill recognition will be negatively related to trait CA. The secondary focus of this study is on the relationship of trait CA to performance and state CA. An inverse relationship between trait CA and performance has been documented elsewhere (Daly & Lawrence, 1985) and trait CA has been shown to be positively related to state CA (BoothButterfield & Gould (1986). H3: Trait CA will be inversely related to performance and positively related to state CA. In the model, trait CA functions as an intervening variable in the relationship between the interpretive styles and both performance and state CA. Interpretive styles are viewed as general tendencies that affect an individual's conclusions regarding a wide range of tasks. Trait CA isa measure of conclusions with respect to the specific task of public speaking, and therefore is presumed to exert a more direct infiuence on performance and state apprehension on this task than do the interpretive styles. H4: Trait CA will act as an intervening variable between the interpretive styles and both performance and state CA. Finally, we also chose to include preparation as a variable to explore its relationship to both trait and state CA and to performance. Ayres and Raftis (1992), citing Pelias' (1989) review of public speaking texts, noted that almost all such texts suggest that preparation reduces oral CA. However, little evidence supports this common sense advice. In fact, Ayres and Raftis (1992) found that allowing more preparation time had no effect on the thoughts, behavior, or state CA of high trait CA individuals. Similarly, an earlier study by Thomas, Thomas, and Williams (1991) foiind no effects of preparation time upon performance or state CA for an oral briefing task. The dotted lines in Figure 1 represent three relationships that would have to exist for apprehensives to be helped by preparation: (a) high trait apprehensives would have to prepare more to compensate for their anxiety; (b) greater preparation by the individual would reduce state CA during the presentation; and (c) greater preparation would result in higher performance. We explored these relationships using the following research questions: Ql: Is trait CA related to preparation? Oral Briefing / Thomas, lymon, Thomas 317 Q2: Is preparation related to state CA during the presentation, or to performance? METHODS The study was conducted with 93 experienced US. Naval Officers enrolled infivesections of a managerial communication course in a graduate-level management education program. Three professors were teaching different sections of the course at the time of this study. The mean age of the officers was 32; managerial experience rangedfrom4 to 16 years. Data for the study were coEected with a series of questionnaires administered to the officers. The assignment was a 4-to-6 minute informative briefing. Participants in the study were assured anonymity to encourage candid answers to the various questionnaires. We measuredfivevariables. Trait Communication Apprehension Trait CA was measured two weeks before the briefing, using Form Trait of the Communication Anxiety Inventory (CAI). The CAI, developed by Booth-Butterfield and Gould (1986), is composed of two separate inventories, Form Itait and Form State. Form Trait consists of 21 self-report items yielding an overall score for trait CA and three context-specific CA scores—dyadic, small group, and public speaking. Form Trait uses a fourpoint response format ranging from "almost always" to "almost never." Thus, scores may range from 21 (low trait CA) to 84 (high trait CA); each context score ranges from 7 to 28. Booth-Butterfield and Gould (1986) report that Form Trait has been administered to several samples of high school and university students over time (n = 754, Mage = 21.3) The mean score was 46.9 with an overall internal consistency (Cronbach alpha) of .90. State Communication Apprehension Booth-Butterfieid & Gould's (1986) 20-item Form State was administered immediately following students' oral briefings to assess their anxiety responses during their presentations. Form State uses a four-point scale response format from "not at all" to "very much so." In a validation study, Booth-Butterfieid and Gould (1986) administered Form State to a sample of undergraduates (n ~ 163, Mage = 20.3). The miean score was 44.1, with an internal consistency of .91. The Booth-Butterfield and Gould (1986) instruments have been successfiaUy employed in several studies (Ayres &Raftis, 1992; Ayres &Robideaux-Maxweli, 1989; Booth-Butterfieid & Booth-Butterfield, 1990) and have shown consistent reliabilitj^ Interpretive Styles The interpretive styles or habits of deficiency focusing, necessitating, envisioning success, and skUl recognition were measured two weeks before 318 The Journal of Business Communication 31:4 1994 the briefing, using questions developed by Thomas and Tymon. (A copy of the questionnaire is available from the second author). Twenty-four questions were answered on a seven-point Likert scale, with six questions per sfyle. Examples of items are: (a) "I tend to worry about whether things will go wrong" (deficiency focusing); (b) "I often seem to create demands and requirements for myself" (necessitating); (c) "I tend to picture myself achieving objectives" (envisioning success); and (d) "When something I do is successful, I see it as evidence of my capabilities" (skill recognition). In previous research (Thomas & lymon, 1994), internal consistencies for the four interpretive styles, using Cronbach's alpha, were as follows: deficiency focusing, .87; envisioning success, .86; skill recognition, .82; and necessitating, .72. Preparation Two separate measures of preparation were obtained on the day of the briefing by asking the student (a) how much time he or she spent out of class preparing for the presentation (preparation time), and (b) how many times the presentation was practiced out loud (practice). Performance On the day of the oral presentations, the three professors teaching the managerial communication course were provided with an Oral Briefing Evaluation sheet that consisted of two questions to be answered by the professor for each student. One question dealt with content, the other delivery. Afive-pointresponse format that corresponded to grades was completed for each of the students who participated in this study. An overall measure of performance was constructed by averaging the responses to the two questions. In rating the performance, the three professors were blind to the students' responses on the previous questionnaires. RESULTS Table 1 presents descriptive statistics and reliabiEties for the measures used in this study, as weU as the correlations between the measures. The interpretive style, trait CA, and state CA measures had reliabilities of .85 or greater, with the exception of the interpretive style measures for skill recognition and necessitating. These were still within an acceptable range (Nunnally, 1978) with reliabilities of .81 and .77, respectively. As noted, the data were gathered from sections taught by three professors. Tb assess any possible biasing effect of the different professors, a one-way analysis of variance (independent variable = professor) was performed on each variable in the study. This analysis showed that professor effects were only significant at the .05 level with respect to one variable, preparation time. As seen in Tkble 1, preparation time was not significantly coirelated with any oliier variable. Further, preparation time was found not to be a significant predictor of any variable when multiple regression was used, controlling for the professor through the Oral Briefing / Thomas, Tymon, Thomas 319 Table 1 Means, Standard Deviations, Reliabilities, and Correlations Among Variables No , of Items M Variables SD 1 86 2 3 4 1. Deficiency Focusing 6 3.67 1,27 2. Necessitating 6 4.89 0.93 3. Skill Recognition 6 5.45 0.82 -17 08 81 4. Envisioning Success 6 5.62 0,91 -m 20* 41**'• 91 5. Trait GA 21 2.08 0.38 36*** 10 6. State CA 20 2.01 043 29** 5 6 7 8 9 53*** 77 -29** -27** 21* -22* -20* 85 24* 85 7, Performance 2 3.46 0,77 -05 09 12 09 -25** -17 8. Practice 1 6.01 4.30 06 -05 08 -05 00 04 -01 9. Preparation Time 1 6.80 4.59 03 04 06 -10 07 02 - 09 17 - Note-. Eeiiabilities, assessed with Cranbach's alpha, appear in the diagonal. Leading decimals were omitted from correlation coefficients and reliability estimates. Sample size ranged from 81 to 93. CA = Communication apprehension. All tests were one tailed. *io<,05, **p<.01. ***p<.001. use of dummy variables. Thus, differences between professors were not judged to be a significant influence on the results of this study, and this variable was deleted from the analyses reported below. Hypotheses 1 and 2 As shown in Table 1, three of the four interpretive style variables were significantly correlated with trait CA. Deficiency focusing was positively correlated with trait CA (r=.36,p < .001). Skill recognition aind envisioning success were negatively correlated with trait CA (r = -.29, -.27; p < .01). ib further test the relationship between the interpretive style variables and trait CA, multiple regression analysis was employed. The results Table 2 Multiple Regression on Trait Communication Apprehension with Interpretive Styles as Predictors Independent Variables Skill Recognition Envisioning Success Deficiency Focusing Necessitating If Adjusted R^ F Note. Sample she was 91. *p<,05. **p<M. ***p<,001. b Beta t -.06 -.10 -,13 -.23 .10 .00 -.01 -1.24 -2.17* 2.92** -,05 .23(20) ,20 6,55*** .34 320 The Journal of Business Communication 31:4 1994 of this analysis are shown in Table 2. l^cen together, the four interpretive style variables explained 23 percent of the variance in trait CA (R^ = .23,/) < .001). Of the four interpretive styles, only deficiency focusing and envisioning success predicted trait (ZlA after partialing out intercorrelations among the interpretive styles. Thus, individuals who tend to focus on deficiencies and not to envision success appear to experience greater trait CA. In sum. Hypotheses 1 and 2 each received partial support. Hypothesis 3 The correlation coefficient matrix in Ikble 1 shows that trait CA was negatively correlated with performance (r = -.25,p< .01) and positively correlated with state CA (r = .24, p < .05). Thus, hypothesis 3 was supported. Hypothesis 4 Hypothesis 4 states that trait CA acts as an intervening variable in the relationship between interpretive styles and performance, as well as between interpretive styles and state CA. Hierarchical regression was employed to test this hypothesis. If the interpretive style variables infiuence performance and state CA only through their effects on trait CA, as assumed in the model, then the interpretive style variables should not explain additional variance in performance and state CA beyond that explained by trait CA alone. On the other hand, if the interpretive style variables explain sizeable additional variance in performance and state CA, this would suggest that the interpretive style variables have a direct relationship with these two variables. Table 3 presents the results of the two hierarchical regression analyses using performance and state CA as dependent variables. In each of these regressions, trait CA was entered in step one, and the interpretive style variables were entered in step two. In step one, trait CA was a significant predictor of performance (consistent with the results regarding Hypothesis 3). The addition of the interpretive style variables in step two did not significantly increase the explained variance in performance (Fchange = 0.57, p > .05). The same results occur when state CA is the dependent variable. In step one, trait CA was a significant predictor of state CA, The addition of the interpretive style variables in step two did not significantly increase the amount of variance explained (Fchange = 1.80, p > .05). These results support Hypothesis 4. Research Ouestions 1 and 2 As shown in Table 1, neither preparation time, in terms of the number of hours spent preparing for the presentation outside of class, nor practice, in terms of the number of times spent practicing the presentation aloud, were significantly correlated with any of the other variables 321 Oral Briefing / Thomas, lymon, Thomas B § o mi CO § 1—< • is go I 3 O 322 The Journal of Business Communication 31:4 1994 in the study. Of particular interest here is the fact that trait CA did not lead to more preparation (r = -.10) or practice (r = .00). Moreover, preparation time and practice did not reduce state CA (r = .02, .04). Nor did preparation time and practice result in higher performance (r=.09, -.01). Therefore, Questions 1 and 2 were answered negatively. Interpretive Styles Deficiency FDC using Perfotnfiance Trait Communicaiion Apprehension State Communiqation Apprehension Envisioning Figure 2. Model suggested by this study. INTERPRETATION OF RESULTS Figure 2 shows those portions of the model in Figure 1 that received support in our study. Two interpretive sfyles—necessitating and skUl recognition—have been removed as infiuences on trait CA. Relationships involving preparation have also been deleted. The primary focus of our study involved the possible impact of interpretive styles upon trait CA. An individual's characteristic (trait) level of CA appears to be shaped significantly by two interpretive styles. It is increased by greater deficiency focusing (the tendency to focus on what is going wrong, can go wrong, or is wrong with oneself) and is decreased by greater envisioning success (the tendency to build mental images of succeeding). Second, consistent with other studies, trait CA appears to be inversely reiated to performance. High apprehensives tend to be evaluated less favorably when giving their oral briefings than their counterparts. High apprehensives also tend to experience high situational (state) communication apprehension during the presentation. Finally, preparation did not appear to be a successful coping device for high apprehensives. High apprehensives did not report preparing more or less. Additionally, reported preparation, either the amount of the time spent preparing for the briefing or the number of the times the brief was practiced before the actual presentation, did not appear to infiuence performance on the oral briefing. Likewise, neither preparation variable appeared to reduce an individual's state CA during the presentation. Oral Briefing / Thomas, lymon, Thomas 323 IMPLICATIONS This study provides additional evidence for the influence of interpretive styles as introduced in the recent literature on empowerment (Thomas & Velthouse, 1990). As noted earlier, the interpretive styles are general tendencies that influence interpretation o^ and reaction to, a broad i^nge of tasks. Previous empirical research has focused on theii- relation to job satisfaction and general stress symptoms (Thomas & lymon, in press). This study shows that interpretive styles also predict traiit CA. More specifically, trait CA was predicted by the two interpretive styles of deficiency focusing and envisioning success. This finding suggests that CA can be understood, at least in part, as a variable that (EV) increases directly with the tendency to think about oral communication tasks in terms of what can go wrong, what is going wrong, and what is wrong with oneself as a communicator, and (b) decreases with the tendency to think about how the oral communication can go well. These thought patterns skew the content of individuals' thoughts about oral communication in such a way that they draw biased or exaggerated conclusions about the threat posed by the communications task. Based on ourfindings,we recommend that follow-on research be conducted to identify the specific thoughts that most commonly embody deficiency focusing and env:isioning success in the task of oral communication. In other words, what specific thoughts would one experience about an oral briefing when one was deficiency focusing or enwsioning success? Identifying these thoughts will allow the design of instruments to more specifically identify the strength of these patterns in individual communicators and will also be useful for targeting cognitive interventions to reduce CA. Our results also point out the need to conduct further research about the relationships between communication apprehension, preparation, and performance. Lazarus and Folkman (1984) talk about preparation as a coping mechanism for dealing with apprehension. However, our results indicate that high apprehensives did not report preparing more than low apprehensives, and that unaided preparation did not significantly enhance performance or reduce state CA. Here, we must acknowledge the limitations ofour measures of preparation. We made no effort to minimize recall errors, for example, by reqidring students to keep detailed logs. Because of the importance of this issue, we recommend subsequent research to replicate this part of our study using more objective measures of preparatioa Nevertheless, ourfindings,added to those of .Ayers & Rafkis (1992) serve to challenge conventional wisdom about the usefulness of added preparation to mitigate the effects of high trait CA. We propose that interpretive patterns be investigated as a fector in these results. For example, the interpretive habits that contribute to trait CA are liiely to produce stronger expectations of a performance gap on an upcoming pre- 324 The Journal of Business Communication 31:4 1994 sentation, but also to reduce the expectation that practice will help and thus reduce high apprehensives' motivation to prepare more than others. Likewise the low confidence of apprehensives, who tend to focus on deficiencies, is unlikely to be improved by practice as long as they continue to focus on what is going wrong during their practice sessions. Finally, our results suggest the benefits of identifying individuals with high deficiency focusing and low envisioning success and targeting them for intervention. Thomas and Velthouse (1990) provide general guidance for such interventions. They note that individuals are largely unaware of the role of their interpretive styles in shaping their conclusions about events, believing instead that they are responding to the objective events themselves. This makes their interpretive styles relatively invisible to them, so that they are not likely to alter interpretive styles even when they lead to unfavorable results. Tb be able to change interpretive patterns, individuals have to first become aware of those patterns, so that they can consciously monitor their ongoing interpretations, observe their consequences, and practice alternative patterns. NOTES Gail Fann Thomas is an associate professor of managerial communication at the Naval Postgraduate School. She was previously on the faculty of Arizona State University. Her research interests include communication apprehension, communication issues related to organizational change, and diversity in the workplace. She has been published in such joximals as the Journal of Technical and Business Communication and Group and Organizational Studies. Her address is Department of Systems Management, Naval Postgraduate School, 555 Dyer Road, Monterey, CA 93943; Internet [email protected]. Walter G. TVmon, Jr., is an assistant professor of management in the College of Commerce and Finance at Villanova University. He was previously on the faculty at Rutgers University. His research interests include worker empowerment, stress management, and the management of research and development. His work on these topics have appeared in such publications as i:h& Academy of Management Review and R&D Management. His address is Department of Management, College of Commerce and Finance, ViUanova University, Villanova, PA 19085. Kenneth W. Thomas is Professor of Sjfstems Management at the Naval Bastgraduate School. He has also been a faculty member at UCLA, Temple University, and the University of Pittsbiaigh. His research interests include worker empowerment, stress management, and the management of conflict. He has published scholarly articles on these topics as well as some widely used training instruments. His address is Department of Systems Man^ement, 555 Dyer Road, Monterey, CA 93943. REFERENCES Ajrres, J. (1988). Coping with speech anxiety: The power of positive thinking. Communication Edumtion, 37,289-296. Ayres, J. (1990). Situational factors and audience anxiety. Communication Education, 39,283-291. Ayres, J., & Hopf, T. (1992). Visualization: Reducing speech anxiety and enhancing performance. Communication Reports, 5,1-10. 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Academy of Management Review, 15, 666-681. First submission 5/5/94 Accepted by NLR 6/24/94 Final revision 7/13/94
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