See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/283797833 Personal problem solving: A descriptive study of individual differences Article in Journal of Counseling Psychology · November 1982 DOI: 10.1037//0022-0167.29.6.580 CITATIONS READS 42 3,254 1 author: Puncky Paul Heppner University of Missouri 191 PUBLICATIONS 11,219 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Mentoring View project All content following this page was uploaded by Puncky Paul Heppner on 04 May 2016. The user has requested enhancement of the downloaded file. Journal of Counseling Psychology 1982, Vol. 29, No. 6,580-590 Copyright 1982 by the American Psychological Association, Inc. 0022-0167/82/2906-0580$00.75 Personal Problem Solving: A Descriptive Study of Individual Differences , P. Paul Heppner, Janet Hibel, Gary W. Neal, Charles L. Weinstein, and Fredric E. Rabinowitz University of Missouri—Columbia This study examined differences between students who have perceived themselves as "successful" and "unsuccessful" problem solvers. Specifically, differences were examined across a range of cognitive, affective, and behavioral variables, with two different types of problems—intrapersonal and interpersonal. Twenty undergraduate students who scored high and 20 who scored low on an independently developed Problem Solving Inventory (a) were questioned about how they solved interpersonal and intrapersonal problems within a 1-hour structured interview, and (b) completed the Mooney Problem Checklist. Following the session, interviewers rated each subject on several cognitive and behavioral variables, and they recorded behavioral observations and anecdotal events. The results revealed that the self-perceived "successful" and "unsuccessful" problem solvers differed (a) in the number of problems they acknowledged on the Mooney; (b) on a number of self-report ratings about the personal problem solving process (e.g., attributions, expectations, intervention strategies, attitudes, and behaviors); and (c) on ratings made by the interviewers on several cognitive and behavioral variables. In addition, results indicated that the type of personal problem being solved affected the problem-solving process. Applied real-life problem solving is of special concern for professionals who are interested in helping others solve problems that are particularly troublesome. Counselors are a group of such professionals who are interested in problem solving. Krumboltz (1965) indicates that "the central reason for the existence of counseling is based on the fact that people have problems that they are unable to resolve by themselves" (p. 383). Yet, after reviewing much of the problem-solving literature, Horan (1979) concluded that investigators have not developed a technology for helping clients with Portions of this article were previously presented at the annual meeting of the American College Personnel Association, Detroit, March 1982. This research was supported in part by a research grant from the University of Missouri Research Council. We thank C. Steven Richards and Robert H. Dolliver for their comments on an earlier draft of the manuscript. Requests for reprints or copies of the instruments (PSI, PSSIP, or IRQ) should be sent to P. Paul Heppner,, 210 McAlester, Hall, Psychology Department, University of Missouri, Columbia, Missouri 65211. regard to problem solving and decision making (Horan, 1979). Much of the earlier problem-solving research examined how people solved impersonal predefined laboratory problems such as puzzles, anagrams, and water-jar problems (e.g., Jacobus & Johnson, 1964; Tresselt & Mayzner, 1960). These predefined problems are different than the real-life personal problems that daily confront people, and there is evidence to suggest that the manner in which the laboratory problems are solved may be less complex than personal problems (Horan, 1979; Jam's & Mann, 1977; Spivack & Shure, 1974; Wickelgren, 1974). For example, Janis and Mann (1977) have compiled evidence that suggests that people making decisions,in hypothetical laboratory problems often react entirely differently when confronted with similar cognitive problems involving real consequences. More recently, investigators have begun to examine events that affect how people solve real-life personal problems. For example, researchers have investigated individual differences in people's ability to provide appropriate means to the solution of a 580 581 PERSONAL PROBLEM SOLVING problem (e.g., Platt, Siegel, & Spivack, 1975; Platt & Spivack, 1972), the utility of problem-solving training as a maintenance strategy (Richards & Perri, 1978), the relationship between problem-solving skills and depression (Doerfler & Richards, 1981), reinforcement schedules of successful problem solvers (Perri & Richards, 1977), and the efficacy of problem-solving training workshops on enhancing specific problem-solving skills (e.g., Dixon, Heppner, Petersen, & Ronning, 1979; D'Zurilla & Nezu, 1980; Nezu & D'Zurilla, 1979,1981). Although these and other studies in the area have been productive, much remains unknown about the process of how people attempt to and actually do solve real-life, applied problems. After reviewing and evaluating the literature on the assessment of interpersonal problem solving, Butler and Meichenbaum (1981) concluded, "It is our hunch that searching for innovative assessment methodologies that allow us to describe the complex interplay of cognitive, affective, and behavioral variables that characterize problem solving in 'real-life' situations will provide the greatest increments in our understanding of interpersonal problem-solving at work" (p. 48). Bloom and Broder (1950) report one of the few descriptive studies that have examined the complex interplay of variables that interact during the problem solving process. Bloom and Broder acknowledge, however, that they did not investigate how people solve nonacademic problems. One strategy to identify essential variables in the real-life problem-solving process is to examine differences between people who differ along important problem-solving dimensions. The purpose of this study was to describe differences between individuals who perceived themselves in ways similar to what has been traditionally labeled as "successful" or "unsuccessful" problem solvers in terms of (a) a range of cognitive, affective, and behavioral self-report activities; (b) cognitive and behavioral differences within an assessment interview; and (c) the number and nature of personal problems. In addition, previous research has also suggested that the nature of the problem may affect the problem-solving process (Meichenbaum, 1977; Meichenbaum, shaw, & Himel, 1982; Perri & Richards] 1977). For example, Perri and Richards (1977) found that the techniques (e.g., selfreinforcement, stimulus control), used by effective self-managers appeared to vary across problems (e.g., dating, overeating). Hence, this study also examined differences on a range of cognitive, behavioral, and affective self-report activities specifically across interpersonal and intrapersonal problems. Interpersonal problems were operationalized as difficulties between individuals (e.g., with a boy/girlfriend, parents, authority figures, peers), whereas intrapersonal problems were operationalized as difficulties within an individual (e.g., study problems, being overweight, low self-con-t cept). Method Subjects Subjects were students enrolled in introductory psychology classes at a large midwestern university. Approximately 200 students initially completed the Problem Solving Inventory (PSI; Heppner & Petersen, 1982) as part of the mass testing program at the beginning of the winter semester,, 1981. From this group, the 10 highest male and female scorers and the 10 lowest male and female scorers were selected for further participation. From these samples 34 of the 40 students agreed to participate. Those who did not participate indicated they either already had their research requirement fulfilled or were too busy with coursework and midterm exams; these 6 students were replaced with students who had similar PSI scores, The PSI scores from the two final samples were as follows: highest scorers, M = 114.9, SD = 8.3; lowest scorers, M = 56.6, SD = 7.0. These subjects had a mean age of 20.9 years, were primarily freshmen (75%) and were unmarried (90%). They were told only that the study investigated different problem-solving styles, and that they would be asked to complete a questionnaire and respond to several questions about how they solve personal problems. All subjects received 2 hours of research credit for their participation. Instruments The Problem Solving Inventory (Heppner & Petersen, 1982) is an instrument that assesses people's perceptions of their personal problem-solving behaviors and attitudes. The PSI consists of thirty-two 6-point Likert items; low scores indicate behaviors and attitudes typically associated with "successful" problem solving. The PSI is a self-rating questionnaire, and this information should not be considered synonymous with ac- 582 HEPPNER, HIBEL, NEAL, WEINSTEIN, AND RABINOWITZ tual problem-solving skills (Heppner, 1982). An earlier factor analysis revealed three distinct constructs: problem-solving confidence (11 items), approachavoidance style (16 items), and personal control (5 items). Reliability estimates revealed that the constructs were internally consistent (.72 to .90; n = 150) and stable over time (.83 to .89; n = 31). Initial estimates of validity suggested the instrument is measuring constructs that are (a) amenable to change through specific skills training in problem solving, (b) related to general self-perceptions of problem-solving skills; (c) related to personality variables, most notably an internal locus of control; (d) unrelated to conceptualizing the means of solving a hypothetical prbblem situation; and (e) unrelated to intelligence or social desirabiltiy (Heppner & Petersen, 1982). A range of cognitive, affective, and behavioral selfreport activities were assessed through a detailed, structured interview developed for this study; the interview protocol was labeled the Problem Solving Style Interview Protocol (PSSIP). For example, cognitive activities were assessed through self-report ratings such as attributions of causality and expectations of success; affective activities were assessed through self-report ratings such as emotionality and specific emotions (e.g., hope); behavioral activities were assessed through self-report ratings such as the use of drugs and talking with friends. (The respective items that assess these activities are identified in Table 1.) Items for the protocol were based on interview questions used in a study of naturally occuring self-controlled behaviors (Perri & Richards, 1977), theoretical and research articles on problem-solving (e.g., Bloom & Broder, 1950; D'Zurilla & Goldfried, 1971; Rotter, 1978), and the experience of professionals knowledgeable in the area. Three types of question formats were used: 7-point Likert scales (1 = not at all, 7 = extremely), open-ended questions, and yes/no questions. In all, 43 questions were developed; the 40 questions that required interval ratings are summarized in Table 1. To assess subjects' problem-solving style with respect to both intrapersonal and interpersonal problems, the PSSIP consisted of the same series of 43 questions being asked twice, once for each type of problem. One question did not pertain to intrapersonal problems (# 28), leaving only 42 questions for this problem type. The order of inquiry for interpersonal and intrapersonal problems was counterbalanced across subjects. No reliability or validity estimates exist for the PSSIP at this time. Cognitive and behavioral differences between subjects were assessed by interview ratings on the Interviewer Rating Questionnaire (IRQ). The instrument consisted of thirteen 7-point Likert items (1 = strongly disagree, 7 = strongly agree) and 1 item asking the interviewer to judge whether the subject scored high or low on the PSI. (These questions are summarized in Table 2, below.) In addition, the questionnaire asked the interviewer for behavioral observations or anecdotal events about the subject. No reliability or validity estimates exist for the IRQ. The number and nature of personal problems was assessed by the Mooney Problem Checklist (Mooney & Gordon, 1950). The instrument consists of 330 items, which constitute 11 scales or major problem areas: Health and Physical Development; Finances, Living Conditions and Employment; Social and Recreational Activities; Social-Psychological Relations; PersonalPsychological Relations; Courtship, Sex and Marriage; Home and Family; Morals and Religion; Adjustment to College Work; The Future: Vocational and Educational; and Curriculum and Teaching Procedure. Low scores indicate a low frequency of reported problems. The Mooney has been used extensively in studies of student problems (e.g., De Sena, 1966; Hartman, 1968; Koile & Bird, 1956), and test-retest reliabilities range from .90 to .98. Interviewers The interviewers were four advanced doctoral students (three males, one female) in counseling psychology, all of whom have had considerable training and experience in interviewing and counseling. The interviewers were trained by the principal investigator, a PhD-level counseling psychologist with several years of research experience in problem solving. Training consisted of imparting basic information about the problem-solving process through reading relevant research articles (e.g., D'Zurilla & Goldfried, 1971; Heppner, 1978) and through participation in group discussions. In addition, training focused on conducting the interview in a standardized format by restricting interview comments to a limited set of verbal cues and follow-up questions (e.g., "Tell me more" "And then what?"). Training also included at least one practice interview and an evaluation or debriefing session among all the interviewers and principal investigator. In all, formal training (excluding the practice interview) was conducted in about 5 hours. Procedure After the mass testing program at the beginning of the semester, the select group of 40!subjects was randomly assigned to one of four interviewers, who were blind concerning the subjects' PSI scores. The interviewers contacted each subject individually, asked him or her to participate in the study, and scheduled a time for the detailed interview based on the PSSIP. Order of presentation (interpersonal and intrapersonal problems) was counterbalanced to counteract any effect on subjects' ratings. On arriving for the interview, half of the subjects were asked to consider first interpersonal problems they had experienced or were experiencing as they .responded to the first set of questions (e.g., problems with boy/girlfriends, parents, authority figures, peers). Confidentiality was assured, and the Likert rating scale was explained. The interviewer proceeded to ask the subject the series of questions and recorded the subjects' responses. When the subject completed answering all of the questions about how he or she solved the previously specified interpersonal problems, the subject was then asked to respond to a similar set of questions, but this time by contemplating intrapersonal problems (e.g., study problems, being anxious, being overweight, low self-concept). The other half of the subjects were first asked to focus on intrapersonal problems and then on interpersonal problems. Each interview was recorded on audiotape to assist interviewers in documenting the subjects' complete response. Each interview was about 1 hour PERSONAL PROBLEM SOLVING in length- Following each interview, the interviewers completed the IRQ, and subjects completed the Mooney. Design and Analyses The factorial design included two levels of problem solving (PSI: high vs. low), two types of personal problems (intrapersonal vs. interpersonal) and subject sex (male vs. female). Preliminary analyses examined order and interviewer effects. Data analyses included a series of three-way repeated-measures analyses of variance (ANOVAs) on the PSSIP data and two-way ANOVAS on the IRQ and Mooney data. Exceptions were made on frequency data, which were subjected to chi-square analyses. Results Preliminary Analysis To determine whether the order in which the problems were discussed in the interview (intrapersonal or interpersonal) affected the subjects' ratings, a series of analyses (t tests and chi-squares) was conducted on subjects' ratings for each question. Results indicated no order effect for 40 out of 42 analyses (intrapersonal problems) nor for 42 out of 43 analyses (interpersonal problems), ps > .05. In short, the order in which the types of problems were examined (interpersonal or intrapersonal) in general did not differentially affect subjects' problem-solving ratings. To determine if interviewers might have differentially affected subjects' ratings on the interview questions, a series of analyses (ANOVAs and chi-squares) was conducted on subjects' ratings for each question. Results indicated that 40 out of 42 analyses (intrapersonal problems) and 41 out of 43 analyses (interpersonal problems) did not reach statistical significance (ps > .05). In short, there did not seem to be significant differences across interviewers on subjects' ratings of the interview questions. Interview Data (PSSIP) A series of repeated-measures ANOVAs (mixed model) and chi-squares were conducted on the appropriate subjects' ratings of the interview questions. Table 1 summarizes the means, standard deviations, and main effect F ratios for subjects' interval 583 ratings of the 40 interview questions from the PSSIP by the three independent variables (PSI, sex, problem type). In addition, a few significant interactions were found, PSI X Sex and Type X Sex; the main effects will be discussed first, followed by a delineation of the significant interactions. PSI. A series of PSI X Problem Type X Sex repeated measures ANOVAs (mixed 'model) was conducted on subjects' interval ratings of the interview questions. Of the 40 interval questions, the three-way ANOVAs revealed 24 statistically significant main effect differences by PSI (ps < .05). The 24 main effects are delineated in Table 1; the degrees of freedom for each analysis are 1 and 32. Briefly, subjects who scored low (the traditional "successful" problem solvers), as compared to those who scored high on the PSI, rated themselves as more motivated to solve their problems, expected to be more successful, perceived both their ability and amount of effort,as being more important in solving problems (and luck less important), rated themselves less impulsive and avoidant in solving problems, more systematic, persistent, and serious in their problem-solving efforts, delay gratification more, and perceived problems as a normal part of life. In addition, subjects who scored low (as opposed to high) on the PSI reported having a clearer understanding of the problem, less often wished a problem would disappear, reported learning more from observing others, used drugs and alcohol less often, brainstormed more, rated themselves as more intuitive, cautious, serious, and systematic in making decisions while also being less impulsive and avoidant with descision making, and rated themselves as more trusting of the other person in an interpersonal problem. In addition, chi-square analyses revealed one statistically significant finding: Subjects who scored high on the PSI (as compared to those who scored low) disproportionally reported having the most difficulty in taking action in intrapersonal problems, x2(4) = 13.5, p < .009. This pattern was not found in interpersonal problems (p > ,05), nor were these differences found in specific strategies used (ps > .05). Problem type, A series of PSI X Problem Type X Sex repeated-measures ANOVAs on en 00 Table 1 Summary of the Means, Standard Deviations, and Main Effect F Ratios for Subjects' Interval Ratings of Interview Questions on the PSSIP by Problem Solving Level (PSI), Sex, and Problem Type High Question 1. Source of problem internally caused? (C) 2. Source of problems externally caused? (C) 3. When problems, how emotional do you get? (A) 4. How much do you show emotion? (A) 5. How useful are emotions in solving problems? (A) 6. How motivated to solve problems? (A) 7. How successful do you expect to be? (C) 8. Solving problems dependent on difficulty? (C) 9. Solving problems dependent on ability? (C) 10. Solving problems dependent on luck? (C) 11. Solving problems dependent on effort? (C) 12. Spontaneous problem-solving style? (C) 13. Impulsive problem-solving style? (B) 14. Systematic problem-solving style? (B) 15. Avoidance problem-solving style? (B) 16. Cautious problem-solving style? (B) 17. Easy come — easy go problem-solving style? (B) 18. Serious problem-solving style? (B) 19. Problems are a normal part of life? (C) 20. Persist in solving insolvable problems? (B) Male Low SD M M Type o bex PSI SD F M Female SD M SD F Intrapersonal Interpersonal M M SD SD tc M hi Z F X .4.5 '3.8 5.2 4.0 3.3 4.8 4.9 28.6% 24.0% 17.0% 31.0% 3.3 3.5 3.4 3.9 4.3 2.8 5.1 5.5 4.2 ja 1.3 4.3 1.4 .5 4.4 1.5 4.4 1.3 .01 4.8 1.3 4.0 1.4 10.0** 1.5 1.3 1.7 3.9 1.5 4.1 1.2 .53 3.7 1.5 4.4 1.1 1.4 5.1 1.3 1.7 3.9 1.4 1.3 4.1 1.8 1.2 6.1 .9 .9 5.7 1.0 15.9 21.6% 11.6 9.4 29.2% 9.5 13.8 5.8% 5.7 16.5 43.7% 15.7 1.3 3.5 1.9 1.3 2.6 1.5 1.5 5.2 1.4 1.6 2.4 1.6 1.2 5.0 1.5 1.5 2.4 1.4 1.0 5.8 .8 1.3 6.3 1.0 1.2 5.8 1.1 .2. .1 5.1 3.5 3.6 5.6 5.3 25.4% 25.8% 14.1% 35.3% 3.3 3.3 4.6 3.3 4.6 2.6 5.5 5.9 5.3 1.4 1.7 1.6 1.3 1.0 14.5 8.6 9.3 17.6 1.6 1.5 1.5 1.6 1.5 1.4 1.0 1.3 1.4 5.3 4.2 3.6 5.4 5.2 25.5% 25.9% 12.6% 36.8% 3.6 3.1 4.0 3.5 4.9 2.7 5.6 6.0 5.0 5.1 3.1 19.1*** 10.7** 3.3 4.3* 18.5*** 8.3** .3 6.4* 20.7*** 15.4*** 3.4 1.1 8.5** 6.0* 29.2*** 1.3 .17 1.4 5.2 1.6 4.3 1.5 3.4 1.5 3.8 1.7 .3 1.2 5.4 1.3 .4 1.1 .3 .9 5.2 14.1 24.5% 14.6 .0 10.1 27.4% 9.4 .4 14.2 8.7% 8.3 4.3* 17.9 39.4% 16.4 .7 1.7 .5 1.4 3.6 1.6 2.9 1,3 1.4 1.7 2.3 1.5 4.0 1.8 3.0 1.7 .8 1.5 4.7 1.3 .2 1.5 .0 1.5 2.6 1.0 5.4 1.0 .3 1.4 5.9 1.0 .1 1.5 3.9 1.3 4.7 5.1 3.73.8 5.5 5.3 24.7% 27.3% 10.2% 37.8% 3.3 3.1 4.6 2.9 4.4 2.5 5.3 5.8 5.1 9.5** 1.3 .8 1.5 3.7 .1 1.6 1.1 1.1 ~ 1.0 .2 .1 14.2 10.8 .7 14.1 1.9 17.0 .2 1.6 1.6 1.5 .0 1.8 7.7** 1.8 4.4* 1.3 3.7 1.5 .3 .9 3.3 1.1 2.4 1.5 .3 t-5 z t-< < ts 1 H Z ^ a JO 5 z 0 s H ts 21. Willing to delay gratification? (B) 22. Clear understanding of problem? (C) 23. Often hope problem would disappear? (A) 24. How resolved does problem need to be before feel OK? (C) 25. Learn by observing how other people solve problems? (B) 26. Make environmental changes to deal with problem? (B) 27. Trust other persons in interpersonal problems? (A) 28. Use drugs and alcohol? (B) 29. How often engage in physical activities? (B) 30. Put problems aside, let incubate (not avoid)? (C) 31. Brainstorm many alternatives? (B) 32. Talk with friends? (B) 33. Decision making style spontaneous? (B) 34. Decision making style intuitive? (B) 35. Decision making style serious? (B) 36. Decision making style impulsive? (B) 37. Decision making style cautious? (B) 38. Decision making style systematic? (B) 39. Decision making style easy come - easy go? (B) 40. Decision making style avoidance? (B) 3.9 4.7 5.7 5.5 3.6 3.5 3.4 2.1 3.6 3.8 3.5 4.7 3.5 3.6 5.1 3.5 4.3 3.7 2.8 3.6 1.4 1.2 1.4 .8 1.2 1.8 .8 1.5 1.6 1.7 1.5 1.5 1.5 1.2 1.1 1.2 1.2 1.3 1.5 1.6 5.0 5.6 4.0 5.7 4.7 3.6 3.1 1.4 4.5 4.2 5.2 4.5 3.5 4.4 5.9 2.5 5.3 5.32.2 2.0 1.6 .9 1.7 .9 1.0 1.7 1.0 .7 1.7 1.6 1.5 1.6 1.7 1.4 .6 1.5 1.3 1.2 .9 1.3 7.5** 8.4** 15.7*** .7 8.0** .1 4.7* 4.5* 3.5 4.1 15.9*** .2 .0 4.6* 12.4** 7.2* 7.2* 18.9*** 3.5 12.9*** .4.8 5.2 4.4 5.6 4.0 3.5 1.4 1.3 1.7 1.0 1.4 1.7 4.1 5.1 5.3 5.6 4.3 3.6 1.7 1.0 1.8 .8 1.6 1.8 2.8 .12 3.4 .0 .3 .1 1.8 4.0 3.9 4.6 4.6 3.4 4.1 5.6 3.3 4.8 4.6 2.6 2.7 1.2 1.7 1.6 1.6 1.3 1.5 1.4 .8 1.5 1.4 1.4 1.2 1.6 1.7 4.1 4.1 4.1 1.3 1.7 1.7 1.8 1.7 1.7 1.4 1.1 1.3 1.3 1.7 1.3 1.7 0.0 .0 1.3 1.5 .1 .1 .7 1.1 2.3 .0 .2 .5 .1 4.7 3.6 3.8 5.4 2.7 4.8 4.4 2.4 2.9 4.3 5.2 4.8 5.5 4.2 3.9 1.6 1.2 1.9 .8 1.5 1.7 1.7 1.1 1.6 1.4 1.7 1.6 1.6 1.3 1.0 1.4 1.4 1.5 1.3 1.5 4.2 4.0 4.2 4.3 3.4 4.1 5.5 2.9 4.5 4.5 2.5 2.6 4.6 5.1 4.9 5.8 4.1 3.2 1.5 1.1 1.7 1.0 1.5 1.7 1.8 1.3 1.5 .5 1.8 .1 1.8 1.7 2.0 1.4 6.0* 1.6 .3 1.5 .5 1.0 .9 1.4 .4 1.2 7.3* 1.6 .3 .1 1.3 1.8 5.5* 4.0 4.0 4.5 4.9 3.6 3.9 5.6 3.1 5.0 4.5 2.5 3.0 1.1 .1 .02 2.5 .1 4.9* "0 tc O z f 3 o P Ed cc o t-1 HH O Note. All ratings were made on a 1-7 Likert scale (not at all/extremely) except questions 8-11, which asked subjects for a percentage. The letter following each question indicates the domain of the self-report activity: A = Affective, B = Behavioral, C = Cognitive. PSSIP = Problem Solving Style Interview Protocol. *p < .05. **p < .01. ***p < .001. 01 oo Cn 586 HEPPNER, HIBEL, NEAL, WEINSTEIN, AND RABINOWITZ Table 2 Summary of the Means, Standard Deviations, and F Ratios for the Interviewers' Interval Ratings on the IRQ by Subject Problem Solving Level (PS/) and Sex PSI Low Question 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. S willingness to disclose? S was cooperative? S put forth effort? S was aware of PS process? S had good social skills? S was anxious? S was impatient? S was antagonistic? S gave thoughtful answers? S was insightful? S perceived reality accurately? S was honest? S had effective problem-solving skills? ' Sex High Male F M SD M SD 4.7 5.8 5.7 5.0 5.1 3.1 3.0 2.0 4.9 4.6 4.9 5.4 5.1 1.9 1.2 1.2 1.5 1.1 1.3 1.4 1.0 1.5 1.4 1.2 1.0 1.5 4.3 5.2 4.9 3.8 3.8 4.5 3.6 2.5 3.0 3.3 4.1 4.9 3.1 1.8 A 1.2 2.1 1.2 4.2* 1.6 6.6* 1.4 10.4** 1.6 8.0** 1.6 1.0 1.3 1.9 1.5 7.4** 1.6 7.7** 1.4 4.0 1.1 2.9 1.6 16.5*** Female M SD M SD F 4.9 5.8 5.4 4.9 4.5 3.5 3.0 2.1 4.5 4.2 4.7 5.4 1.8 .9 1.3 1.4 1.4 1.6 1.2 1.1, 1.81.6 1.3 1.0 1.8 4.1 5.2 5.2 3.9 4.5 4.1 3.6 2.4 3.9 3.7 4.3 4.9 3.8 1.9 1.4 1.2 1.6 1.4 1.5 1.8 1.2 1.5 1.6 1.3 1.1 1.8 1.6 2.1 .3 4.6* 0.0 1.3 1.5 .7 1.6 1.3 1.0 1.9 1.5 4.4 Note. IRQ = Interviewer Rating Questionnaire. *p< .05. **p < .01. ***p< .001. the PSSIP data revealed eight statistically significant (ps < .05) main effect differences by problem type (see Table 1). In comparing subjects' responses to interpersonal versus intrapersonal problems, the interviewers rated intrapersonal problems as being more internally caused (and conversely interpersonal problems as more externally caused). The interviewed subjects also rated themselves as (a) being more systematic and less avoidant in solving intrapersonal problems, (b) described their decision making as being more cautious and avoidant with interpersonal problems, (c) perceived themselves as talking more often with friends about interpersonal problems, (d) and making more environmental changes with intrapersonal problems. Sex. Two statistically significant main effects were found by subject sex. Males rated luck as more important than females in solving personal problems (p < .05). In addition, males report thinking as the most frequent strategy for intrapersonal problems, whereas females report 2 talking as the most frequent strategy, % (3) = 12.8, p < .005. Interactions. The three-way ANOVAs revealed statistically significant PSI X Sex interactions on four questions from the PSSIP (ps < .05). Tukey post hoc comparisons revealed the following. Males who scored high on the PSI (the traditional "unsuccessful" problem solver) reported that solving problems was significantly more dependent on luck (ps < .01) and significantly less dependent on effort (ps < .05) than the other groups. Conversely, females who scored high on the PSI rated themselves as significantly lower in terms of the seriousness of their decision making style (ps < .01) as compared to the other groups. Finally, males who scored low on the PSI (the traditional "successful" problem solvers) rated themselves as significantly less spontaneous in decision making than females who scored low (p < .05). Finally, two ANOVAs also revealed statistically significant Problem Type X Sex interactions on two questions. Tukey post hoc comparisons revealed, however, only one significant comparison: Males reported they were significantly less spontaneous in solving intrapersonal problems (ps < .05), than the other comparison groups. Interview Rating Questionnaire (IRQ) First, possible differences across interviewers' ratings were examined; a set of 587 PERSONAL PROBLEM SOLVING ANOVAs and one chi-square were conducted on the appropriate interviewers' ratings of the 14 IRQ questions. No statistically significant differences were found across interviewers on all the questions (ps >.05). Second, a set of 2 (PSI: high vs. low) X 2 (sex: male vs. female) ANOVAs and one chi-square were conducted on the appropriate 14 questions. Table 2 presents a summary of the means, standard deviations, and F ratios for interviewers' interval ratings on the IRQ by PSI and Sex. Examination of the F ratios revealed several statistically significant (ps < .05) PSI main effects (see Table 2; degrees of freedom are 1 and 36). Interviewers rated subjects who scored low (the traditional "successful" problem solvers) as compared to those who scored high on the PSI as putting forth more effort, as being more aware of their problem-solving process, as having better social skills, as being less anxious, as giving more thoughtful answers, and being more insightful. In addition, ANOVAs revealed one statistically significant sex main effect (p < .05); interviewers rated male subjects as being more aware of their problem-solving processes than female subjects. No statistically significant PSI X Sex interactions were found (ps>.05). , Interviewers also correctly identified subjects as either scoring high or low on the PSI on 33 of the 40 cases. A chi-square one-sample test (goodness-of-fit) analysis revealed that this proportion was statistically significant, X2(D = 26.6, p < .001. Mooney Problem Checklist Subjects' scores on each of the 11 scales on the Mooney Problem Checklist as well as the total inventory were also analyzed by using a set of 2 (PSI: high vs. low) X 2 (sex: male vs. female) ANOVAs. Examination of the-I*1 ratios revealed no sex main effects (ps > .05) ,and three PSI main effects. Specifically, subjects who scored low (the traditional "successful" problem solvers) as compared to high on the PSI reported fewer problems with regard to Health and Physical Development, F(l, 36) = 4.65, p < .05, SocialPsychological Relations, F(l, 36) = 7.66, p < .009, and Personal-Psychological Relations, F(l, 36) = 7.49, p < .009. No signifi- cant differences were found between low and high scorers on the PSI on the total problem score of the Mooney, F(l, 36) = 2.95, p < .09. Finally, no statistically significant PSI X Sex interactions were found (ps > .05). Discussion ; The results of the study support previous research that found differences across problem-solving styles. Specifically, students who perceived themselves in ways similar to what has been traditionally considered as effective problem solving (i.e., having confidence, personal control, and approaching problems), as compared to students whose ratings were dissimilar, also (a) rated themselves as being more systematic in decision making and problem solving in general (e.g., Bloom & Broder, 1950), (b) report having a clearer understanding of the problem (e.g., Bloom & Broder, 1950; Doerfler & Richards, 1981), and (c) rated themselves as- being less impulsive and less avoidant in the problem-solving process (e.g., Bloom & Broder, 1950). The results also empirically confirm observations made in the literature about what problem solvers should do, such as engaging in brainstorming activities (see D'Zurilla & Goldfried, 1971), and perceiving problems a&a normal part of life (see D'Zurilla & Goldfried, 1971; Heppner, 1978). In addition, the results further extend previous research by finding additional differences across problem-solving styles, specifically in terms of cognitions (e.g., attributions, expectations), behaviors (e.g., using drugs, observing others), and affect (e.g., perceived motivation, hope). In essence,-these differential ratings (as delineated in the results) imply a range of cognitive, affective, and behavioral activities that increase or decrease the probability of cuing effective, task-oriented responses during a very complex chain of events called problem solving. A few of these findings merit additional comments. Students who perceived themselves as similar to the traditional "successful" problem solvers believed that their abilities were more important in solving problems, and perceived luck or chance to be less important. This finding is consistent with related research on locus of control 588 PERSONAL PROBLEM SOLVING (Rotter, 1966; 1978), and suggests that attributional styles deserve more attention in relationship to personal problem solving. The perceived "successful" problem solvers also differed from "unsuccessful" problem solvers across a number of approach and avoidant behaviors (e.g., motivated to solve problems, delay gratification, expect to be successful). A critical variable may be the extent to which problem solvers actively persist in working on a problem as opposed to engaging in irrelevant avoidant strategies. Finally, the perceived "successful" problem solvers rated themselves as being more trusting of the other person in an interpersonal problem, which provides some support for Rotter's (1978) claim that interpersonal trust is an important expectancy in problem solving. Observations from the interviewers also suggest cognitive and behavioral differences across problem-solving styles. First, interviewers rated the students who scored low on the PSI as being more effective problem solvers than those who scored high on the PSI. Second, the interviewers rated the perceived "successful" problem solvers as being more insightful, more aware of their problem-solving processes, and their answers were rated as more thoughtful. The interviewers also made several anecdotal observations that were consistent with the above-mentioned ratings. The other anecdotal observations suggested that there might be differences between the two groups in terms of social anxiety, acceptance and utilization of affect, quickness in understanding the interview questions, and selfdoubts about the adequacy of their interview responses. The interviewers with only moderate training in the problem-solving area correctly identified 83% of the students as being either high or low scorers on the PSI; the interviewers reported that this was a relatively easy task. Data from the Mooney Problem Checklist also revealed that the perceived "successful" problem solver reported experiencing fewer personal problems, which seems consistent with the interviewers differential ratings regarding effectiveness, insightfulness, and awareness. Although this study provides additional information about students who perceive themselves as similar to the traditional "successful" or "unsuccessful" problem solvers, additional research is needed to examine the relationship between self-appraisal variables (e.g., confidence) and problem-solving skill. The results of this study also support earlier research that suggested that the nature of the problem may affect the problemsolving process (Meichenbaum, 1977; Meichenbaum et al., 1982). The differences when solving interpersonal as opposed to intrapersonal problems seemed to fall into three categories: (a) the source or cause of the problem, (b) the process of solving the problem, and (c) intervention strategies. These findings indicate that in solving intrapersonal problems, students report more approach behaviors and more confidence, perhaps because they feel they have greater control of more variables in problems of that nature. These results also are consistent with the findings of Perri and Richards (1977), who found that problem-solving techniques used by effective self-managers varied according to the problem that they were facing. This implies that various problems may cue different problem-solving behaviors and cognitions. Important patterns in previous research may have been overlooked because these differences across problems were not given attention. In addition, future research might also examine the frequency of various behavioral, cognitive, and affective responses across problem types and across problem solvers. There are several limitations of the study. First, it is important to note that all findings in this study are correlational in nature, making cause and effect relationships difficult to isolate; therefore the conclusions are tenuous. Second, the multitude of analyses employed in the study did increase the likelihood of Type I errors; readers are cautioned to consider the inflated alpha levels when interpreting the results. Conversely, power considerations and the likelihood of Type II errors also suggest that relationships that were not found (e.g., relationships between problem-solving style and sex) merit replications. At this time, the number of differences between those who score high and low on the PSI suggests the need for additional research to examine these and other problem-solving differences HEPPNER, HIBEL, NEAL, WEINSTEIN, AND RABINOWITZ in greater detail. The utility for both researchers and practitioners of thoroughly assessing and describing the target behaviors (in this case problem solving) and corresponding deficits within individuals has been discussed (e.g., Karifer & Goldstein, 1980; Kanfer & Saslow, 1969); such an approach seems particularly well suited for the applied problem-solving process. Probably as much can be learned about the problem-solving process by studying the ineffective as well as the effective problem solver (Urbain & Kendall, 1980). Finally, it is important to note that findings also have implications for problemsolving training. For example, previous efforts to increase the effectiveness of various problem solving skills have used subjects who have expressed an interest in wanting to learn more about problem solving (Dixon et al., 1979), college students who were vocationally undecided and anxious (Mendonca & Siess, 1976), or the typical introductory psychology student (e.g., D'Zurilla & Nezu, 1980; Nezu & D'Zurilla, 1981). Conversely, the effects of problem-solving training with people who have a number of problemsolving deficits as well as people other than university students (e.g., community, inpatients at a VA hospital) are less well researched. Different intervention strategies may be needed to alter different behavioral and cognitive differences across subjects within a real-life problem-solving context. Particularly, applied research that would examine the long-term effects of such training are needed. 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Switching behavior in a problem solving task. Journal of Psychology, 1960,50, 349-354. Urbain, E. S., & Kendall, P. C. Review of social-cognitive problem solving interventions with children. Psychological Bulletin, 1980,88,109-143. Wickelgren, W. A. How to solve problems. San Francisco, Calif.: Freeman, 1974. Received February 1,1982 Revision received April 12,1982 Acknowledgment The Editor wishes to acknowledge the following individuals who served as ad hoc reviewers during 1981: Donald R. Atkinson Ricki S. Bander Bianca L. Bernstein Bruce Biskin Linda Brooks James C. Brown Monroe A. Bruch Clarke G. Carney Jean A. Carter Charles D. Claiborn Peter Cimbolic Christine A. Courtois Robert Dies Fred J. Dorn Howard J. Douglass Thomas E. Dowd Robert Elliott Herbert A. Exum Helen S. Farmer Gerald A. Gladstein Gail Hackett Jo-Ida Hanson View publication stats Edward O. Hascall Mark A. Hector Charles A. Heikkinen Susan S. Hendrick P. Paul Heppner • JohnR. Hoeppel James G. Hollandsworth Elizabeth Holloway Richard Johnson Steven Kaplan Charles J. Krauskopf Michael B. LaCrosse George F. Leddick Robert W. Lent Chalsa Loo Thomas E. Malloy William R. McKelvain Daniel S. McKitrick Lydia Y. Minatoya Ellen Ostrow Susan D. Phillips Patricia M. Raskin Harvey Resnick C. Steven Richards Charles Saltzman David Schlenoff Lawrence J. Schneider William Sedlacek Linda Seligman Linda Sherman Saul Shiffman Thomas Skovolt Robert B. Slaney Sharon B. Spiegel Joseph Stokes Donald Strassberg Derald Wing Sue Stanley Sue Terrence J. Tracey Georgiana Shick Tryon Brupe Wampold Judith Worrell Everett J. Worthington Kathy P. Zamostny