The Effect of a Workbook Intervention on
College Students’ Reframes of Dysfunctional Career Thoughts:
Technical Report 37

 

 

 

 

 

Darrin L. Carr

 

 

February 27, 2004

 

 

Center for the Study of Technology in Counseling and Career Development
Dunlap Success Center, 100 S Woodward Avenue, The Florida State University
Tallahassee, FL 32306-4162
(850) 644-6431 (voice) (850) 644-3273 (FAX)
http://www.career.fsu.edu/techcenter

 

 

 

 

 

 

 

Copyright © 2004 by Florida State University
All Rights Reserved

 

 

 

 

 

 

 

Darrin L. Carr is a Research Assistant, Instructor, and Career Advisor at The Career Center and a doctoral student in the Combined Program in Counseling Psychology and School Psychology at The Florida State University. James P. Sampson, Jr. is a Professor in the Department of Educational Psychology and Learning Systems and co-director of the Center for the Study of Technology in Counseling and Career Development at The Florida State University. The author wishes to thank James P. Sampson, Jr., Gary W. Peterson, Robert C. Reardon, Janet G. Lenz, Page Purgar, James Murray, Scott Arkin, and Selah Rhoden for their support of and participation in this evaluation. Furthermore, this report would not have been possible without the data rating efforts of Beth Kegler, Katie Meyer, and Jon Shy. Inquiries and comments should be addressed to Darrin Carr, at dcarr@admin.fsu.edu.

Table of Contents

 

Topic

Page

Abstract

3

Introduction

4

Review of the Literature

5

 

Cognitive Theory and Related Interventions

6

 

The CIP Approach and the Career Thoughts Inventory Workbook

10

 

A Model for Evaluating Reframe Effectiveness

13

 

Summary of Literature and Research Hypothesis

14

Method

 

15

 

Participant Recruitment

15

 

Instrumentation

16

 

Design and Procedure

17

 

Rater Training and Data Rating

19

Results

21

 

Preliminary Analyses

22

 

Findings

24

Discussion

26

 

Limitations

26

 

Interpretation of Results

28

 

Implications for Research and Practice

29

Conclusion

32

References

33

Tables

 

Figures

 

Appendices

 

 

Informed Consent Form

A

 

Student Data Sheet  and Addendum

B

 

Data Collection, Control, and Treatment Instruments

C

 

Data Collection Schedule

D

 

Confederate Scripts

E

 

Debriefing Materials

F

 

Web Based Rater Training Module

G

 

Web Based Data Rating Module

H

 

Abstract

 

This technical report documents the results from a quasi-experimental evaluation of the efficacy of Improving Your Career Thoughts: A Workbook for the Career Thoughts Inventory on college students’ acquisition of the skill of reframing dysfunctional career thoughts. Participants in this evaluation study were 86 undergraduate students enrolled in five sections of a career development course at a large southeastern university. A repeated measures ANOVA of effectiveness of reframed dysfunctional statements by initial level of dysfunctional career thinking and treatment status was conducted. A significant main effect and interaction between time and treatment status was found on an initial posttest measure. However, no effect or interaction was found for level of dysfunctional career thoughts on reframe effectiveness. At a two week, delayed posttest, a significant decay effect occurred for the treatment group. Furthermore, possible demand characteristics and treatment diffusion led to a significant improvement in the effectiveness of reframed thoughts of the control group.


The Effect of a Workbook Intervention on
College Students’ Reframes of Dysfunctional Career Thoughts:
Technical Report 37

 

Most clients are unaware of the biases, misinformation, and distorted beliefs that they bring to career choice and that these presuppositions can lead to self-defeating and disabling experiences (Krumboltz, 1983). It is thought that these beliefs exist due to limited learning opportunities and act to limit additional learning (Krumboltz & Jackson, 1993). For example, Elliott (1995) noted that negative self-statements can impair a client’s ability to utilize occupational information, lead to career indecision, and inappropriate choices.

Anecdotal and empirical evidence suggest the existence of such dysfunctional career beliefs and thoughts in both adolescence and adulthood. This phenomenon has been labeled by various professionals as myths (Dorn & Welch, 1985), self-defeating assumptions (Dryden, 1979), dysfunctional career beliefs (Krumboltz, 1990), and dysfunctional cognitions (Corbishley & Yost, 1989). Furthermore, Dorn and Welch (1985) found that high school students subscribed to various (nine of 13 postulated) career myths as measured by the Survey of Career Attitudes. Similarly, Krumboltz has standardized the Career Beliefs Inventory on a wide variety of groups, providing further evidence of dysfunctional beliefs and thoughts occurring independent of group membership (Krumboltz, 1994).

In response to the evidence of both the negative impact and commonness of dysfunctional thinking on career choice, the Career Thoughts Inventory (CTI) and a companion intervention Improving Your Career Thoughts: A Workbook for the Career Thoughts Inventory (Workbook) were developed (Sampson, et al., 1996a, 1996b). While the CTI has been used in research since its release (Vernick, 1999; Sampson, Reardon, Peterson, & Lenz, 2004), the associated Workbook has received little attention in the literature. Specifically, Gilbert (1996) and Fontaine (2001) noted the lack of evidence in the CTI professional manual of the workbook’s ability to correct dysfunctional career thinking or improve career problem-solving and decision-making skills. A search of the literature also revealed no formal, empirical evidence of its efficacy.

This gap in the literature may be a specific instance of a more general lack of evidence on the efficacy of cognitive-behaviorally based interventions in teaching the skill of cognitive reframing. Instruction in reframing, by which clients learn to alter their dysfunctional thoughts to more functional ones, is often an important part of cognitive restructuring treatments for depression and anxiety. However, much of the focus in the literature has been on outcome measures (e.g., degree of change in depression, anxiety, career decidedness, vocational identity, etc.) of treatment and not on the intervening learning outputs that occur.

Therefore, this evaluation study attempts to fill the gap in the literature on the efficacy of the CTI Workbook, specifically investigating the effect of a cognitive behaviorally-based workbook intervention on college students’ skills to effectively reframe dysfunctional career thoughts. In the process, it is hoped that more general information on effective instruction related to cognitive reframing skills will also be gained. To achieve these goals, this paper will first briefly review the relevant theoretical and empirical literature and state the hypothesis of interest. Next, the method of investigation will be outlined, including a description of participants, instrumentation, and study design and procedure. Then, results will be presented and the paper will close with a discussion of study findings, their limitations, and resulting implications.

Review of the Literature

This section of the paper will review two theories underlying the CTI and Workbook; cognitive theory and cognitive information processing theory of career decision-making. Also the literature on the efficacy of interventions associated with each theory will be summarized. Furthermore, a model for evaluating the effectiveness of reframed dysfunctional thoughts based in both clinical experience and the theoretical literature will be introduced.

Cognitive Theory and Related Interventions

Assumptions. A basic assumption of cognitive theory is that individuals use information processing to represent themselves and the world in cognitive organizational structures known as schemata (Bartlett, 1958). These schemata, which represent individuals’ beliefs or assumptions about themselves and the world, yield the automatic thoughts of consciousness, which interact with affect and behavior. However, these thoughts can be vulnerable to systematic distortions which bias the processing of information from the environment (Beck, 1967; Beck, 1976; Beck, Emery, & Greenberg, 1979). Cognitive theory conceptualizes psychopathology (e.g., anxiety or depression) as a dysfunctional bias in the content, amount, or function of an individual’s thoughts as well as the monitoring and control (metacognition) of those thoughts (Beck & Weishaar, 2000; Wells, 2000). Furthermore, cognitive theory generally accepts the important role of physiological factors (e.g., neurotransmitter levels) as well as dysfunctional cognition in contributing to vulnerability to psychopathology (Strunk, 2001).

Cognitive theory has led to the development of two related kinds of interventions: self-instruction training and cognitive restructuring. Self-instruction training focuses on the proactive learning of metacognitive skills necessary to perform a novel task (Meichenbaum, 1974). Cognitive restructuring focuses on actively changing the preexisting schema underlying automatic thoughts that may be inhibiting performance of a specific task (Kinnier & Krumboltz, 1986). It should be noted that the distinction between the two interventions may be somewhat artificial, given that the two may be used interchangeably by both counselor and client.

Self-Instruction Training. In response to the limitations of behavioral techniques and to foster learning that was more durable and generalizable, Meichenbaum (1977) developed a skills-oriented therapy in which learners were instructed in how to “talk to themselves” in preparing for a stressor, confront and handle the stressor, cope with the feeling of being overwhelmed, and reinforce progress by use of these self-statements. This cognitive-behavioral training followed a sequence similar to Luria’s functional interiorization of language process for children (Luria, 1962). The training consisted of cognitive modeling by an expert, then overt, external guidance by an expert while the learner performed the task, then overt, self-guidance by the learner, then faded, overt self-guidance by the learner, and finally covert self-guidance by the learner. “The focus was not to teach the child [learner] what to think but how to think” (Meichenbaum & Cameron, 1974, p. 410). In short, Meichenbaum developed a process by which metacognition could be taught.

Self-instruction training has been found to be effective with a wide variety of ages and problem domains. Through self-instruction training impulsive hyperactive children have developed greater self control and greater cognitive reflectivity (Meichenbaum & Goodman, 1971); in-patients with schizophrenia improved on measures of interview behavior, proverb and inkblot responses, and measures of attention (Meichenbaum & Cameron, 1974); and college undergraduates significantly increased flexibility and originality on measures of divergent thinking relative to a control group (Meichenbaum, 1975). Also, standard behavior therapy procedures augmented with self-instruction have produced greater treatment efficacy, more generalization, and greater persistence of treatment effects than behavior therapy alone (Meichenbaum & Cameron, 1974).

Furthermore, Dush, Hirt, and Schroeder (1983, 1989) conducted two meta-analyses of the efficacy literature on self-statement modification. Their first meta-analysis of 69 controlled studies demonstrated that self-instruction combined with other cognitive methodologies is an effective technique. A second meta-analysis of 48 controlled studies of the effects of self-statement modification in children was less conclusive. A more recent review of the literature concluded that studies on self-instruction were confounded by the presence of more than one treatment technique (e.g., progressive relaxation for treatment of anxiety) (Lange, Richard, Gest, de Vries, & Lodder, 1998).

Cognitive restructuring. Bandura (1977) has stated that one of the most effective ways to change cognitions is to change performance (behavior). Based on this premise, cognitive restructuring uses experience to create feedback loops, which challenge dysfunctional automatic thoughts and assumptions and increase positive feelings. The desired outcome of cognitive restructuring is increased self-control by enabling more accurate processing of information and interpretation of events. “The ultimate goal in cognitive restructuring interventions should be to teach clients the art of auto cognitive restructuring. Clients should be trained to recognize, examine, and modify or refute maladaptive cognitions whenever they emerge in the future” (Kinnier & Krumboltz, 1986, p. 314).

Cognitive restructuring has become popular in the self-help literature. Burns (1999) offers The Feeling Good Handbook which emphasizes ten forms of twisted thinking and ten methods of untwisting thinking. Also, Bourne (1990) has authored a workbook for mistaken beliefs associated with anxiety and phobia. This workbook employs affirmations (short, easily repeated positive statements that counter mistaken beliefs) that are used to habituate positive thinking. Bourne suggests that the power of affirmation can be increased through repetition and injection of feeling.

Given the popularity of such interventions, it is fortunate that the empirical literature suggests that cognitive restructuring is effective in a wide variety of clinical applications. Such applications include the reduction of panic attacks (Salkovskis, Clark, & Hamel, 1991), mitigation of disruptions in public speaking associated with perfectionism (DiBartolo, Frost, Dixon, & Almodovar, 2001), and improvement in inmate institutional behaviors (Baro, 1999). As with self-instruction training, one of the difficulties in determining the efficacy of cognitive restructuring is that several techniques are often used concurrently during cognitive-behavioral therapy.

Jacobson and Dobson (2000) attempted to isolate the effect of the three major components of cognitive-behavioral therapy (activation of behavior, modification of automatic thoughts, and modification of core schemata) on therapeutic outcomes, as measured by several screening instruments including the Beck Depression Inventory at treatment, termination, and six month follow-up, for 150 outpatients with major depression. Despite adherence to treatment regimens, superior outcomes could not be attributed to either the modification of automatic thoughts or core schemata conditions over the behavioral activation condition. Thus, while cognitive restructuring may have been found to be effective for specific problem domains, the exact mechanisms that contribute to success may not always be clear.

Regardless of the active mechanism of cognitive therapy, an important factor in the effectiveness of self-instruction training and cognitive restructuring interventions may be the client’s belief that they will work. Meichenbaum (1977) demonstrated that the difference between subjects who successfully tolerated a cold pressor test and those who did not was in their belief that they could successfully use coping strategies rather than their actual use of self-statements and images. Thus, it may not be enough for a person to learn coping strategies. The individual must also possess the metacognitive awareness of their coping strategies, know when and how to use the strategies, and understand the potential, beneficial outcomes of their application.

In review, self-instruction or self-statement training is the proactive integration of metacognitive knowledge and process into instruction for a given performance task through a variety of techniques. With careful planning, counselors can help clients learn novel tasks and accompanying facilitative self-talk and then generalize this new knowledge to other performance situations. Cognitive restructuring is the effort to change a client’s preexisting negative thoughts and dysfunctional schemata through experience. Various forms of cognitive restructuring have been widely circulated in the self-help literature. While successful in specific applications, the exact mechanism of action of cognitive restructuring is unclear because efficacy studies often combine behavioral with cognitive treatments. In general, cognitive theory can inform therapy that is preventative in nature (e.g., self-instruction training) or palliative (e.g., cognitive restructuring). Next, this paper will turn to the specific content domain of career choice and how cognitive theory and therapy can be combined with the CIP approach to assist clients with career choice.

The CIP Approach and the CTI Workbook

Assumptions. The Cognitive Information Processing Approach to Career Problem Solving and Decision Making (CIP) assumes that career choice involves complex problem solving, which can be vulnerable to dysfunctional cognitions (Sampson et al., 2004). These dysfunctional cognitions can interfere in the career choice process and impact career decidedness. Indecisive individuals can be characterized by their high degree of anxiety, while undecided individuals may be developmentally immature. In both cases, engaging in learning experiences may help to modify preexisting schemata, thereby reducing dysfunctional cognitions and anxiety and enabling growth and movement.

Krumboltz (Krumboltz, 1976; Krumboltz, Mitchell, & Jones, 1976; Krumboltz & Jackson, 1993) noted the importance of using assessment not only for matching and evaluation purposes in career assessment, but also to promote learning in career decision making. Thus, assessment becomes the mediator between identifying values, interests, skills, and beliefs based upon past experiences and identifying needs that can be fulfilled by future learning. It is through learning that clients can begin to “unblock” their problem-solving attempts, develop new self-knowledge, and move toward fulfilling career goals.

In keeping with Krumboltz’s emphasis on learning, CIP identifies the content and process of career choice while emphasizing the important role of metacognitions (Peterson, Sampson, & Reardon, 1991; Peterson, Sampson, Lenz, & Reardon, 2002; Sampson et al., 2004). This approach is illustrated by two main constructs the Pyramid of Information Processing Domains and the CASVE Cycle.

The Pyramid of Information Processing is comprised of three content domains; knowledge, decision making, and executive processing. The Knowledge Domain is further divided into areas of self-knowledge (e.g., values, interests, skills, and employment preferences) and options knowledge (e.g., knowledge of specific options and a schema for organizing options). The Decision-Making Domain of the pyramid contains the CASVE cycle, the process component of CIP Theory. The Executive Processing Domain of the pyramid emphasizes the importance of the metacognitive skills of self-awareness, monitoring and control, and self-talk in career problem solving and decision making.

The five step decision-making or CASVE cycle is defined as: 1) Communication (understanding internal and external cues), 2) Analysis (clarifying self, option, decision making, and metacognitive knowledge), 3) Synthesis (elaborating and crystallizing options), and 4) Valuing (arriving at a tentative primary and secondary choice after weighing the costs and benefits of and prioritizing each option relative to self, significant others, cultural group, and community/society at large), and 5) Execution (creating a plan for the pursuing the tentative choice). The cycle completes with a return to the Communication stage, where internal and external cues are checked to see if the problem (or gap) has been resolved. (Peterson et al., 1991; Reardon, Lenz, Sampson, & Peterson, 2000; Peterson et al., 2002; Sampson et al., 2004).

The intervention of focus in this study, the Career Thoughts Inventory and Workbook, is grounded in the CIP approach as each inventory item corresponds to one of the eight elements of the pyramid of decision-making domains and CASVE cycle. The inventory and workbook are also rooted in the tradition of cognitive theory and interventions, applying both self-statement instruction and cognitive restructuring. The CTI, workbook, and related literature will now be examined.

Career Thoughts Inventory and Workbook. The CTI, is a self-administered and objectively scored measure of content and degree of dysfunctional career thinking. The total score of the CTI has been found to be both reliable and valid for a college student sample. Sampson, et al. (Sampson, Peterson, Lenz, Reardon, & Saunders, 1996) reported internal consistency coefficients for the total score scale ranging from .93 to .97. Stability for total scores was also adequate as measured by four-week test-retest stability (r = .86). The CTI items and scales also possess content, construct, and criterion-related validity. The CTI has demonstrated convergent validity with several other instruments including the identity scale and occupational information and barriers items of the My Vocational Situation (MVS) questionnaire (Holland, Daiger, & Power, 1980) and the Neuroticism domain of the NEO PI-R (including Anxiety, Angry Hostility, Depression, Self-Consciousness, Impulsiveness, and Vulnerability) (NEO PI-R) (Costa & McCrae, 1992). Additional data on CTI factor scores and corresponding reliability and validity can be found in Sampson, et al. (1996).

The Improving your Career Thoughts Workbook (Workbook) is a therapeutic companion to the Career Thoughts inventory, which “…is intended to assist individuals in interpreting their CTI scores and in completing the cognitive restructuring, action planning, and learning necessary to effectively engage in exploratory, problem solving, and decision making behaviors” (Sampson, et al., 1996b, p. 15). Using the metaphor of a wall to represent dysfunctional thinking, the workbook offers four sections intended to help the individual to understand the relationship between dysfunctional thoughts and the need for additional supports. These sections help the client to: 1) identify the degree and content of their dysfunctional career thinking, 2) challenge such thinking, 3) alter their thoughts to be more adaptive, and 4) create a plan to act on new, more adaptive thoughts. This study attempted to isolate the effect of the second and third sections of the workbook, which employ stimulus statements (i.e., short paragraphs of counseling feedback) and a written response exercise to promote cognitive reframing. In order to accomplish this task, a model for evaluating the effectiveness or “quality” of individual participant’s cognitive reframes was necessary.

 

A Model for Evaluating Reframe Effectiveness.

In an effort to operationally define reframe effectiveness, Carr (2003) conducted think aloud protocols with four expert, doctoral level career counselors. The task of these experts was to evaluate the efficacy of presented reframes of negative career thoughts and to relate both the reasoning behind and evidence for their judgments. A qualitative analysis of the resulting data yielded the model available in Table 1. This model holds that more effective cognitive reframes are characterized by an internal locus of control, explicit detail, acknowledgement of affect, sensitivity to time, selection of positive words, accurate problem definition, and a structure parallel to that of the original negative thought. Space limitations prohibit a thorough discussion of the procedure used to construct this model. However, this information as well a review of the model’s grounding in the theoretical and empirical literature is available (Carr, 2003)

Summary of Literature and Research Hypothesis

In summary, the CTI (a measure of dysfunctional career thinking), and the companion workbook (an intervention that applies both self statement modification and cognitive restructuring techniques) attempt to identify and alleviate dysfunctional career thoughts through the application of cognitive theory and the CIP approach to career decision making. While the CTI has been found to be a valid and reliable instrument, the efficacy of the Workbook has not been determined. However, interventions similar to the CTI Workbook have been found to be effective in a wide variety of clinical domains.

Furthermore, meta-analytic studies of the literature have noted that efforts to determine the efficacy of cognitive techniques have been stymied by the inclusion of both cognitive and behavioral elements in treatment. The literature also appears to have focused on the outcome of interventions (e.g., lowered anxiety and depression), not the actual learning outputs that may lead to these outcomes. Finally, given past findings that dysfunctional thoughts may interfere with knowledge acquisition and schema modification, it follows that the initial level of dysfunctional career thinking may also impact the learning of the cognitive reframing skill. Thus, the primary purpose of this study was to determine the effectiveness of the CTI Workbook in imparting the skill of cognitive reframing to college students. Of additional interest was obtaining information about the process of instructing the skill of cognitive reframing and the efficacy of purely cognitively based techniques. In support of these research goals, it was hypothesized that there would be no significant interaction between experimental group status (i.e., treatment vs. control) and level of dysfunctional career thinking (e.g., high vs. low) over time and the college students’ acquisition of the skill of reframing dysfunctional career thoughts as measured by reframe effectiveness.

Method

The study method will now be described including participant recruitment, instrumentation, study design and procedure, and rater training and scoring.

Participant Recruitment

Participants were recruited from students enrolled in five sections of a career development course at a major southeastern university. Each participant provided his or her informed consent (Appendix A) to participate in the evaluation project and was not required to participate in the evaluation as part of the class grade. Participants were informed that they were being asked to evaluate a workbook they might use later in the course. Students who did not wish to participate were asked to remain in class and use the time to read for class or complete class assignments. This request was made to maintain the confidentiality of their decision to not participate in the evaluation.

Descriptive data on participants’ college, ethnicity, year in school, and sex can be viewed in Table 2. As would be expected in a career development course, the sample was more undecided in their major than the undergraduate university population as a whole. Furthermore, a proportionally greater number of Social Science majors participated in the evaluation study than in the university at large (22% vs. 10%). The sample was also less diverse than the greater university population with over 81% of participants self-reporting as Caucasian versus 74% of the undergraduate university population. The majority (61%) of the sample was of either sophomore (30%) or senior (31%) class standing. Furthermore, the sample also included proportionally more women than the university population (66% vs. 56%). Finally, participants’ ages ranged from 18 to 31 years with an average age of 20 years (σ = 2.41) as compared to an average age of 22.2 years for the university undergraduate population.

 Instrumentation

A self-report Student Data Sheet (Appendix B) regularly collected by class instructors at the beginning of each semester was used to gather archival information on participant sex, ethnicity, intended major, number of credit hours enrolled, and satisfaction with first occupational choice. Participants’ career decidedness level was also determined from the data sheet through the Occupational Alternatives Question (OAQ) (Slaney, 1980). This question asked participants to list all of the occupations they were considering and their first choice occupation. The OAQ was scored as 1 if a first occupational choice was listed with no alternatives; 2 if a first choice was listed with alternatives; 3 if no first was choice listed, just alternatives; and 4 if neither an occupational choice or alternatives were listed. Additional data on first time in college vs. transfer status and year in school was collected using a separate smaller, demographic form attached to the Student Data Sheet.

Both the 48-item Career Thoughts Inventory (CTI) and Improving your Career Thoughts: A Workbook for the Career Thoughts Inventory (Workbook) (Sampson, et al., 1996a, 1996b) described previously served as sources for the instruments created for this evaluation. For this study, the 48 items of the CTI were divided into a 32-item screening instrument, an eight-item pretest/treatment/posttest instrument packet, and an eight-item delayed posttest instrument (Appendix C). The first 32-item instrument was used to establish the level of dysfunctional career thoughts present among participants. The second instrument packet (based on items 33 through 41) was used to establish a baseline of the participants’ skill at reframing dysfunctional career thoughts, and to provide training to the treatment group in challenging and altering dysfunctional thoughts. Two versions of this packet were created: 1) a control version without the instructions and reframe statements of the workbook; 2) a treatment version containing instructions and reframe stimulus statements from the actual CTI Workbook (Appendix C). For the control group, the simple instruction “Make these sentences more positive” was provided along with stimulus statements of general and neutral “advice” that participants might receive from non-practitioners. A third instrument comprised of CTI items 42 through 48 was used with both treatment and control to collect data on participant retention of the reframing skill two weeks after training (Appendix C).

Design and Procedure

A double blind, quasi-experimental design was applied during this study. Selection occurred by students enrolling in a career development class and then volunteering to participate in the evaluation study. As random assignment of individual participants was not practical, two of five course sections were randomly assigned to treatment status. Data were collected during the final 20 minutes of the class at three points in time over a 22-day period in the Spring of 2002. At prearranged times (Appendix D), course instructors left the room and one of four confederates (2 Caucasian males and 2 Caucasian females), reading from scripts (Appendix E), employed the previously described instrumentation to collect data from participants. Both confederates and participants were blind to the hypotheses of the study and to their treatment or control status. Due to staff shortages, one confederate collected data from two different course sections of the control group. Each confederate collected data at all three times, with the exception of one who had to be replaced due to a scheduling conflict.

The first data collection was conducted during the second week of class. After establishing informed consent, the paper and pencil demographic form was completed and the 32-item screening instrument was administered using an optical scan form. The later forms were then scanned and imported in a database to obtain a median split and identify high scoring participants on the CTI (i.e., those individuals with higher levels of dysfunctional career thinking) for later data analysis.

One week later, confederates conducted the second data collection. Both treatment and control groups were first presented with brief reframing (i.e., “rewrite”) instructions. Next, items 33–40 of the CTI labeled as “Old Thought” were presented and participants were invited to cognitively restructure thoughts from participants labeled as “New Thought.” At this point the treatment group received actual reframing stimulus statements corresponding to items 33 to 40, while the control group received paragraphs of “plausible neutral advice” such as one might receive from a friend. Often this advice focused on an obscure feature of the original item. Participants were again provided an opportunity to reframe items 33-40 of the CTI.

Two weeks later, a third and final data collection was conducted. A brief prompt to reframe the eight provided dysfunctional thoughts, identical to those in the pretest during the second data collection, was presented to both treatment and control groups. At the end of data collection, confederates announced to participants that the evaluation was complete and provided debriefing materials that explained the project’s purpose and their membership in either the treatment or control group (Appendix F). In addition, each participant was provided with a complete 48-item Career Thoughts Inventory to complete as a regularly occurring course assignment. All participants later individually discussed their inventories with their instructors. Those students endorsing a high degree of dysfunctional career thinking on the 48-item inventory were assigned the complete Career Thoughts Inventory Workbook by their instructor.

Rater Training and Data Rating

Raw data resulting from this procedure were 2,064 reframes. These reframes were typed, verbatim (i.e., grammar and spelling mistakes included) into a Microsoft Access database for later evaluation and rating. Two primary raters (a female, masters student in career counseling and a male, doctoral student in counseling psychology) and a third “back-up” rater (a female, doctoral student in counseling psychology) volunteered to complete this task. Volunteers were Caucasian and ranged in age from 24 to 26 years. Each volunteer was trained to apply the model created by Carr (2003) to globally rate reframes as to their effectiveness in supporting career decision making (Table 1).

This training familiarized raters with the model and how to reliably apply it to reframed statements using an unbalanced, four point rating scale. On this scale, “less effective” reframes received a rating of –1 while “more effective” reframes received ratings of +2. Those reframes which were thought to have “no change,” for which the “task was not understood,” or the “item did not apply” to the participant received a rating of 0. Reframes in which partial, positive change was perceived to have occurred by the rater received a rating of +1. It was emphasized throughout the training that “global judgments” of reframe effectiveness were desired and raters were discouraged from “adding” up criteria to arrive at their ratings.

Rater training was delivered via a web-based resource that allowed for identical delivery of content but flexibility in location and timing of instruction (Appendix G). Duration of training for each rater ranged from approximately 1.5 to 2 hours. First, raters were shown a CTI item paired with four possible reframes and asked to place each reframe according to the previously described four point scale. Next, for each of the four reframes, raters checked the model criteria they believed were applicable. Raters were then given feedback comparing their perceptions of applicable model criteria to those of the investigator. Each CTI item was then summarized by positioning the four reframes and their matching criteria from the model along the rating scale. After a brief stretch break, this procedure was repeated a second time for a different CTI item and reframes.

At the end of training, raters were shown a “learning review” which summarized the major points of the training. Raters were then asked to apply their learning by rating 24 practice reframes derived from incomplete data records previously culled from the larger dataset. As each rater finished training, a notification email was sent to the investigator who debriefed the rater about their experience and reviewed the summary data.

Analysis of this practice data using a weighted kappa (a measure of agreement with provision for scaled disagreement or partial credit) yielded modest reliability coefficients (Table 3) (Cohen, 1968). However, the level of agreement between rater 2 and rater 3 was notably less than that of rater 1 with either rater 2 or 3. Given the “tie breaker” role to be played by rater 3, this difference was considered acceptable. While interrater reliability was found to be modestly acceptable, a significant oversight by the investigator during training and subsequent data rating process was the establishment of intrarater reliability. This could have been achieved by repeating the administration of practice items after an intervening period of time to account for memory.

To evaluate the reframed statements, raters used a similar Web-based application to rate each individual reframe according to the provided model (Appendix H). Each of the 2,064 reframes and its corresponding CTI item was presented in a random sequence, thus raters were blind to participants’ identities, preexisting levels of dysfunctional career thoughts, and treatment status. After evaluating the reframe using the model and rating guidelines, which could be easily referenced on screen, raters used the four point Likert scale to rate the quality of the reframe. For any given reframe, if judgments by the two primary raters differed by more than one scale position, the third rater was asked to review the statement.

Given the schedules of the student raters, the rating process took approximately three months to complete. When the process was finished, ratings for each reframe were averaged by summing the raters’ judgments and dividing by the number of raters required to arrive at a decision. Ratings for the eight items on each instrument administered at pretest, posttest, and posttest + two weeks were then averaged, creating three measures of the degree to which participants successfully applied the reframing skill over time.

Results

A repeated measures ANOVA with between-subjects factors was conducted to perform an omnibus test of the hypothesis. For this analysis, the within-subjects factor was the average effectiveness of career thoughts as determined by the rating panel. The between-subjects factors were assigned treatment status (e.g., treatment or control group) and initial level of dysfunctional career thinking (e.g., high or low) as measured by the screening version of the CTI. The preliminary analyses required for executing this test will now be detailed, followed by a review of the findings from the omnibus, individual factor, and pair wise tests.

Preliminary Analyses

Rater Agreement. Out of the raters’ 2,064 judgments of effectiveness of reframed dysfunctional thoughts, 1,367 (66%) were exact agreement and 548 (27%) were partial agreement. Raters disagreed on only 150 ratings (7%) or extremely disagreed (i.e., opposite ends of the scale) for only 5 ratings (.2%) thus requiring input from the third rater. The weighted Kappa coefficient for the entire sample for the two primary raters was .43 (p < .001) indicated a modest amount of agreement between the two primary raters.

As the dependent measure for this study was decided a priori to be the mean ratings of the judges, the average intraclass correlation was derived. This coefficient for a two-way mixed effect model (absolute agreement definition) was calculated to be .56 (p < .0001) (Shrout & Fleiss, 1979). The two-way mixed model was selected as each of the two primary judges saw all of the reframes, thus they were considered a fixed effect while the ratings of reframes were a random effect.

Equivalence of Groups. As nonequivalent cohort groups were employed in this study, tests were conducted to insure that treatment and control groups were equivalent in terms of known variables. Pairwise comparisons between treatment and control using Student Neuman-Keuls’ (Kirk, 1982) revealed there were no significant differences (p < .05) with respect to age, sex, self reported credit hours, year in school, lower vs. upper division status, OAQ, satisfaction with choice, and transfer status (Table 4). Thus, any difference between the treatment and control groups occurred due to chance factors alone.

Normality of Distribution. An important assumption of repeated measures ANOVA is normality of the distribution of the dependent measure. Thus, Kolmogorov-Smirnov (K-S) tests (Roscoe, 1975) were conducted on the three measures of reframe effectiveness for the entire sample (n = 86) (Table 5). Distributions were not normally distributed at pretreatment and two weeks post treatment (K-S = .108, 86, p = .015 and K-S = .118, 86, p = .005 respectively). Inspection of descriptives for the pretest measure indicated a positively skewed and somewhat leptokurtic distribution, while the delayed posttest measure distribution was less positively skewed, but more leptokurtic. Scrutiny of data indicated that outliers existed three standard deviations above the mean at pretest and delayed posttest; thus, these two participants were removed from the analysis. Unfortunately, an additional K-S test indicated continued non-normality (K-S = .098, 84, p = .045 and K-S = .114, 84, p = .009) (Table 6). However, inspection of descriptives of this smaller sample’s pretest and delayed measures measure indicated a reduction in skewness and kurtosis.

In an effort to continue to improve normality, square root and logarithmic transformations were applied to both dependent measures. These additional K-S tests indicated poorer fit to the normal curve after transformation (p = .000 to p = .039). When sample data were separated by treatment and control status, pretest and delayed posttest measures were found to be normally distributed (Table 7 and Table 8). Given the failure of data transformation to improve normality, the improvement in skewness and kurtosis of the total sample with the elimination of the outliers, and a return to normality when the sample was divided into treatment and control groups, it was decided that the analysis of untransformed dependent measures from the smaller data set could continue. However, the outcomes of the ensuing ANOVAs would need to be interpreted with caution due to the possibility of a violation of normality.

Sphericity and Homogeneity of Variance. As measures are repeated they are considered by default to not be independent; thus, Mauchly’s test of sphericity (Edwards, 1993) was performed to insure equal correlations among treatment pairs. Furthermore, Levene’s test (Draper, 1998) for homogeneity of variance was consulted at appropriate times. No violations of these assumptions were indicated at anytime throughout the analysis and specific results are included in the following findings.

Findings

The repeated measures ANOVA multivariate test indicated that while time and the interaction of time and treatment status captured significant amounts of the variance in reframe effectiveness, initial level of dysfunctional career thinking did not (Table 9). Time of data collection accounted for 28.7% of the variance in effectiveness of reframed dysfunctional career thoughts (F = 15.726, 2, p < .001). The interaction between time and treatment status accounted for 19.2% of the variance in reframed dysfunctional career thoughts (F = 9.273, 2, p < .001). Initial level of dysfunctional career thinking, as measured by the CTI screener, was not found to capture significant variance when combined with time and/or treatment status (1.4% of variance, F = .568, 2, p = .569 and .7% of variance, F = .280, 2, p = .757 respectively). Furthermore, the assumption of equal correlations among treatment pairs of the dependent measure was met (W = .989, C 2 = .835, 2, p = .659).

As the variable of initial level of dysfunctional career thoughts did not demonstrate a statistically significant effect, it was removed from the analysis. This decision dictated the inclusion of an additional subject for which CTI screening data was missing. Thus, an additional repeated measures ANOVA with only treatment status as the between subjects variable and time as the within subjects variable was conducted on the entire sample (Table 10). This yielded differences in the amount of variance accounted for by the independent variables. In this new analysis, time accounted for 29% of the variance in effectiveness of reframed dysfunctional career thoughts (F = 16.546, 2, p < .001) and the interaction between time and treatment status accounted for 18.2% of the variance in reframed dysfunctional career thoughts (F = 9.016, 2, p < .001). Again, the assumption of equal correlations among treatment pairs of the dependent measure was met (W = .987, C 2 = 1.031, 2, p = .59).

Additional testing using ANOVA’s with Student-Neuman-Keuls control of family wise error confirmed the within subjects effect of time  (F = 16.726, p < .001) and interaction of Time and Treatment status (F = 9.655, p < .001). Furthermore, post hoc contrasts between pretest and posttest and posttest and delayed posttest were also found to be significant (p < .01 or better) (Table 11).

Given the interaction found between Time and Group, individual post hoc tests of reframe effectiveness between groups at each time were conducted using Student-Neuman-Keuls (Table 12). Levene's test for equality of error variances across dependent measures was met for these tests (smallest p > .145). No significant differences were found between treatment and control groups at pretest or delayed posttest (F = 0.94, 1, p = .760 and F = .382, 1, p = .538 respectively). However, a significant difference in reframe effectiveness was found between treatment and control conditions on immediate post-test (F = 12.371, 1, p = .001). This difference was also found to practically significant with a moderate effect size of .77.

Post hoc contrasts of reframe effectiveness within control and treatment groups across time are summarized in Table 13 and Table 14 respectively. Here, practically significant effect sizes of .51 and .73 (p < .01 or better) were found between posttest and delayed posttest and pretest and delayed posttest for the control group. However, the contrast between pretest and posttest for the control group was not found to be statistically significant. For the treatment group, statistically and practically significant differences occurred among all times. A large initial effect size of 1.0 was found between pretest and posttest (p < .001). However, a negative effect size of -.40 was found between posttest and delayed posttest (p = .021) indicating a loss in the effectiveness of the treatment group’s reframing skill. Thus, an overall effect size between pretest and delayed posttest of .60 was found (p = .001).

The findings of this study are summarized by Figure 1. Control and treatment groups started at pretest with statistically equivalent positions, with control group generating reframes of slightly greater effectiveness than treatment group participants. An immediate, after treatment posttest indicated a statistically and practically significant difference in the quality of reframes generated by the treatment group versus the control group. Two weeks after treatment, the difference in groups diminished as quality of reframes generated by the control group again slightly exceeded those of the treatment group by a statistically insignificant amount. This was due to a significant decrease in effectiveness of reframes generated by the treatment group and a significant increase in the effectiveness of the control group’s reframes.

Discussion

This discussion of the findings of this study will begin with an acknowledgement of possible limitations, continue with an interpretation of results, and conclude with potential implications for research and practice.

Limitations

This study has several limitations in the form of threats to both internal and external validity. One threat to internal validity is the possibility of nonequivalence of groups, due to the assignment of cohorts, instead of individual participants to treatment or control groups (Smith & Glass, 1987). While a difference in these groups may have contributed to the treatment effect, tests of equivalency on variables thought to be related to the dependent variable (e.g., level of career decidedness) yielded no significant differences between groups. Thus, nonequivalence of groups is a possible, yet unlikely threat to this study’s findings.

A second threat to internal validity is the possibility of treatment diffusion occurring after the posttest. While assigning treatment and control groups by cohort should have limited this possibility, results indicate significant movement of the control group between posttest and delayed posttest measures. This may be due in part to all participants (treatment and control) receiving approximately five clock hours of instruction in the CIP approach (the theoretical basis of the CTI items used in study) (Peterson, Sampson, & Reardon, 1991; Peterson, Sampson, Reardon, & Lenz, 1996; Sampson, Lenz, Reardon, & Peterson, 1999) during the two weeks intervening the measures. This instruction was delivered using the text, Career Planning and Development: A Comprehensive Approach and a related workbook, (Student Manual; Reardon, Lenz, Sampson, & Peterson, 2000).

All sections of the course follow the same syllabus, use similar materials, and participate in like activities. Between the first and second data collection participants received instruction and participated in activities focusing on improvement of self-knowledge, including writing a career focused autobiography, clarifying their values, and completing the Self-Directed Search (Holland, 1994) and a skills assessment activity. After the second but before the third data collection, students were provided opportunities to broaden their occupational knowledge through an introduction to computer-assisted career guidance systems (e.g., Choices and SIGI PLUS or Discover). Students also participated in a career center tour and career library scavenger hunt designed to familiarize them with career information resources that could be used in later course assignments. Prior to the third data collection, participants were also instructed in the CASVE cycle of career problem solving and career decision making. A chapter on “Exploring Metacognitions”, which covered the influence of metacognitions on career decision making, was taught after the study was concluded. The data collection schedule can be viewed in Appendix D.

Reed, et. al. (2001) found significant decreases in scores on the CTI when it was used as a pre-test and posttest measure with this career development course. The greatest decrease in negative thinking was found in students with the highest initial levels of negative thinking. Two factors of the CTI, decision-making confusion and commitment anxiety, contributed significantly to the main effect and there were no significant interactions with race or gender. In short, Reed found that the course (which based upon individual student needs may or may not have included the CTI Workbook) can impact levels of dysfunctional career thinking as measured by the CTI. Reed noted several threats to the validity of this quasiexperimental study, specifically the absence of a control group. Furthermore, Reed pointed out that no single element of the full course, which contains some 60 separate elements, could be attributed with contributing to the observed effect. Thus this course, which lowered endorsement of dysfunctional career thoughts on the CTI, may also have transmitted knowledge or skills necessary for reframing of these thoughts, thereby contaminating the control group in this study.

Possible threats to external validity, which may limit the generalizability of this study’s findings, are demand characteristics and testing effect. Demand characteristics are cues in the environment to which subjects react (Smith & Glass, 1987). As these cues may not be present, in other environments, the desired effects may not be created outside of the experimental setting. While care was taken to avoid the influence of such cues by scripting confederate interactions with participants, some cuing may simply be unavoidable. For example, the Hawthorne Effect may have impacted this study. That is, participants may have improved the effectiveness of their reframes due to just being observed by the investigator’s confederates. Results may also have been generated by the Testing Effect, which occurs when participants learn by merely engaging in a task several times over a brief period. In short, this study may be confounded by several threats to internal and external validity. However, the results of this study, while potentially suspect, may still offer some interpretive value.

Interpretation of Results

The overall hypothesis of this study was that there would be no significant interaction between experimental group status (i.e., treatment vs. control) and level of dysfunctional career thinking (e.g., high vs. low) over time and college students’ acquisition of the skill of reframing dysfunctional career thoughts as measured by reframe effectiveness. Based upon the findings of this study, this hypothesis can be rejected. While there was no effect or interaction of initial level of dysfunctional career thinking on effectiveness of reframed thoughts, there was a significant effect and interaction of treatment group and time on reframe effectiveness.

Both treatment and control groups began the study with near identical skill at reframing dysfunctional career thoughts into more effective ones. Judges rated their reframing efforts as being only slightly more effective than no “change at all” (i.e., a score of 0 on a –1 to +2 scale). Posttest measures showed that the CTI Workbook improved the ability of the treatment group to create more effective reframes of dysfunctional career thoughts. This improvement was found to be both a statistically and practically significant change both in terms of the standard deviation of the distribution of the measure and in terms of movement on the rating scale. Treatment participants moved approximately one-half of a rating point on the four-point rating scale after exposure to CTI Workbook instructions and eight stimulus-reframing statements. There was no significant movement of the control group between pretest and posttest.

However, there was an apparent decay in this treatment effect between posttest and delayed posttest. This may be due to the absence of the CTI Workbook reframing stimulus statements in the delayed posttest. In essence, the first posttest for the treatment group demonstrated immediate skill learning, while the delayed posttest demonstrated reduced performance when participants were engaged in a generalized, delayed application of the reframing skill to an alternate problem set. Thus, treatment participants may have learned the skill given their immediate previous exposure to instruction; however, some of this learning was lost when applied to a novel situation. Despite the decay effect, a significant overall improvement in reframe effectiveness occurred in the treatment group between pretest and delayed posttest.

During the interval between posttest and delayed posttest, the control group also improved significantly in their reframing skill. In fact, the control group finished the study with reframes slightly more effective than those of the treatment group. As previously discussed, this finding may be due to the Hawthorne effect, treatment diffusion, or some other confound. Furthermore, it is possible that the different item set used in the delayed posttest was somehow more salient to the control group than the treatment group. Another possible interpretation is that practice at the skill of reframing in general may be as important as the CTI Workbook treatment. Finally, another interpretation of these findings may be that the treatment group was more confident in their ability to complete the task and became bored with a repetitive assignment. The control group, however, having less instruction in cognitive reframing, may have been more challenged by and motivated to engage the final reframing task.

In conclusion, at immediate posttest the CTI Workbook appears to be effective in instructing participants in the skill of creating more effective reframes of dysfunctional career thoughts. However, this effect may decay with time or as the learner is asked to generalize their learning to other dysfunctional thoughts without the benefit of supporting reframe stimulus statements. Furthermore, repeated practice at making a thought “more positive” may lead to an improvement in effectiveness of reframes of dysfunctional career thoughts regardless of treatment. The possible implications of these interpretations for research and practice will now be discussed.

Implications for Research and Practice

The primary purpose of this study was to determine the effectiveness of the CTI Workbook in conveying the skill of cognitive reframing to college students, thereby filling a gap in the literature noted in two reviews of the Career Thoughts Inventory. This gap has now been partially bridged as results demonstrate that the CTI Workbook can improve college students’ reframing skill as measured by reframe effectiveness. However, the question of the CTI Workbook’s effectiveness as a cognitive restructuring intervention has not been completely resolved as this study only focused on the cognitive skill of reframing (i.e., self-statement modification) and excluded the behavioral feedback necessary to achieve cognitive restructuring.

Thus, in an effort to isolate the skill of cognitive reframing this study disregarded an assumption of cognitive theory that modeling is a necessary, but not sufficient, condition for learning. Self-instructional rehearsal by the learner (acting) is also necessary for improved task performance. Thus, training tasks should actively involve the learner and require mental transformation, not simply rote learning and repetition. Furthermore, training must help learners identify and alter existing maladaptive thoughts into self-statements incompatible with the previous ones, rather than just adding more positive self-statements. “What is required is modeling and practice in synthesizing and internalizing the meaning of one’s self-statements” (Meichenbaum & Cameron, 1974, p. 106). Thus, the Workbook’s behavioral components (i.e., the creation and execution of Individual Action Plans) should be included in the treatment condition of further research on its effectiveness. This may reinforce the cognitive component of the reframing skill, thereby extending and generalizing the workbook’s effect beyond the immediate and somewhat abstract learning context of this study.

As this study was an analog of how the CTI and Workbook are actually applied in counseling, an investigation of the effect of the CTI on the learning outputs of clients receiving individual case managed services from counselors may also be helpful. Through the counseling relationship, clients might be better oriented to and understand the need for completing the CTI Workbook (e.g., seeing their results compared to group norms), which in turn may impact client motivation for, and belief in, the intervention. Such a study could utilize the complete workbook, asking clients to both cognitively reframe their dysfunctional career thoughts and act on these new thoughts; thus, possibly resulting in the restructuring of clients’ schema through behavioral feedback.

Another goal of this study was to obtain information about factors that may influence the instruction of cognitive reframing. The improvement in control group reframes over time, may indicate that the eight items used in the delayed posttest may have somehow been more salient to the control group than the treatment group. Similarly, the decline in the effectiveness of the treatment group’s reframes may be due to the limited salience of the new items. Such a scenario would be important to explore given that clients apply the CTI Workbook to Career Thoughts Inventory items that they have “strongly agreed” or “agreed” with (i.e., indicated item saliency).

For example, Lange et al. (1998) designed a treatment that employed only positive self-instruction statements created by participants. The goal of the treatment was not to bolster self-esteem by offering the individuals new information about themselves, but rather to manipulate “…the salience of a subset of information already present within the person’s own thought system” (Lange et al., 1998, p. 226). Participants in the treatment condition showed significantly greater improvement on measures of self-esteem compared to control. Furthermore, intrinsically motivated participants showed greater improvement in self-esteem with respect to extrinsically motivated participants after engaging in self-instruction. Unfortunately, a separate treatment group of investigator-created, positive self-instructions to compare against the efficacy of participant created positive self-instructions was not included in the study.

To further investigate the effect of item salience it may be possible to create a computer-based form of the Workbook, which would allow for treatment based on CTI items endorsed as more negative by individual participants. Furthermore, treatment could be varied by using the externally sourced stimulus reframe statements in the CTI Workbook or through internally sourced stimuli created via instruction of participants in important reframing concepts consistent with the themes of reframing model (e.g., concreteness, time sensitivity). Such a study may more accurately simulate the actual manner in which the CTI Workbook is used and yield data that could inform future workbook improvements.

Conclusion

This study has shown that the cognitive component of the CTI Workbook alone can immediately improve the effectiveness of reframes of dysfunctional career thoughts. However, several questions remain about the longevity and generalization of learning, and whether or not additional variables such as salience of dysfunctional thoughts and externality of reframing stimuli may influence workbook effectiveness. Thus, additional research should be conducted on the effects of both the cognitive and behavioral elements of the CTI Workbook. Regardless of the need for additional research, the cognitive component of the CTI Workbook alone is successful in instructing the skill of reframing dysfunctional career thoughts. Furthermore, this part of the workbook is likely to be effective regardless of a client’s initial level of dysfunctional career thinking. Follow-up studies on the CTI Workbook might include a more functional study of clients receiving individual case managed services or the creation of a computer-based version, which allows manipulation of the variable of item salience.


 

References

Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.

Baro, A. (1999). Effects of a cognitive restructuring program on inmate institutional behavior. Criminal Justice and Behavior, 26, 466-484.

Bartlett, F. (1958). Thinking: An experimental and social study. Oxford, England: Basic Books.

Beck, A. T. (1967). Depression: Clinical, experimental, and theoretical aspects. New York: Harper and Row.

Beck, A. T., Emery, G., & Greenberg, R. L. (1979). Cognitive therapy of depression. New York: Guilford.

Beck, A. T., & Weishaar, M. E. (2000). Cognitive therapy. In R.J.Corsini & D. Wedding (Eds.), Current psychotherapies (6th ed., pp. 241-272). Itasca, IL: F. E. Peacock Publishers.

Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International University Press.

Bourne, E. J. (1990). The anxiety and phobia workbook. Oakland, CA: New Harbinger Publications.

Burns, D. D. (1999). The feeling good handbook. (revised ed.) New York.

Carr, D. (2003). A Model for evaluating the effectiveness of cognitive reframes of dysfunctional career thoughts (Rep. No. 36). Florida State University, Tallahassee, FL: Center for the Study of Technology in Counseling and Career Development.

Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70, 213-220.

Corbishley, M. A., & Yost, E. B. (1989). Assessment and treatment of dysfunctional cognitions in career counseling. Career Planning and Adult Development Journal, 5, 20-26.

Costa, P. T., Jr., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI): Professional manual. Odessa, FL: Psychological Assessment Resources.

DiBartolo, P. M., Frost, R. O., Dixon, A., & Almodovar, S. (2001). Can cognitive restructuring reduce the disruption associated with perfectionistic concerns? Behavior Therapy, 32, 167-184.

Dorn, F. J., & Welch, N. (1985). Assessing career mythology: A profile of high school students. The School Counselor, 33, 136-142.

Draper, N., & Smith, H. (1998). Applied regression analysis. New York: Wiley.

Dryden, W. (1979). Rational-emotive therapy and its contribution to careers counseling. British Journal of Guidance and Counselling, 7, 181-187.

Dush, D. M., Hirt, M. L., & Schroeder, H. E. (1983). Self-statement modification with adults: A meta-analysis. Psychological Bulletin, 94, 408-422.

Dush, D. M., Hirt, M. L., & Schroeder, H. E. (1989). Self-statement modification in the treatment of child behavior disorders: A meta-analysis. Psychological Bulletin, 106, 97-106.

Edwards, L. K. (1993). Applied analysis of variance in behavioral science. New York: Marcel Dekker.

Elliott, K. J. (1995). Anthetic dialogue: A new method for working with dysfunctional beliefs in career counseling. Journal of Career Development, 22, 141-148.

Fontaine, J. H. (2001). Career Thoughts Inventory. In B. S. Plake & J. C. Impara (Eds.), The fourteenth mental measurements yearbook (pp. 228-230). Lincoln, NE: Buros Institute of Mental Measurement.

Gilbert, H. B. (1996). Career Thoughts Inventory: A review and critique (Rep. No. ED408526).

Holland, J. L., Daiger, D. C., & Power, G. (1980). My Vocational Situation. Palo Alto, CA: Consulting Psychologist Press.

Holland, J. L. (2004). Self Directed Search: Form R (4th ed.). Odessa, FL: PAR.

Jacobson, N., & Dobson, K. S. (2000). A component analysis of cognitive-behavioral treatment for depression. Journal of Consulting and Clinical Psychology, 64, 295-304.

Kinnier, R. T., & Krumboltz, J. D. (1986). Procedures of successful career counseling. In N.C.Gysbers (Ed.), Designing careers (pp. 307-335). San Francisco: Jossey-Bass.

Kirk, R. E. (1982). Experimental design : Procedures for the behavioral sciences (2nd ed.). Monterey, CA: Brooks/Cole.

Krumboltz, J. D. (1983). Private rules in career decision making (Special Publications Series No. 38) (Rep. No. ED 229 608). Columbus, OH; Ohio State University, National Center for Research in Vocational Education, Advanced Study Center: ERIC Document Reproduction Service.

Krumboltz, J. D. (1990). Helping clients change dysfunctional career beliefs. Paper presented at the annual meeting of the American Association for Counseling and Development, Cincinnati, OH.

Krumboltz, J. D. (1976). This Chevrolet can't float or fly. The Counseling Psychologist, 76, 17-19.

Krumboltz, J. D. (1994). The Career Beliefs Inventory. Journal of Counseling & Development, 72, 424-428.

Krumboltz, J. D., & Jackson, M. A. (1993). Career assessment as a learning tool. Journal of Career Assessment, 1, 393-409.

Krumboltz, J. D., Mitchell, A., & Jones, G. (1976). A social learning theory of career selection. The Counseling Psychologist, 76, 71-80.

Lange, A., Richard, R., Gest, A., de Vries, M., & Lodder, L. (1998). The effects of positive self-instruction: A controlled trial. Cognitive Therapy and Research, 22, 225-236.

Luria, A. R. (1962). On the variability of mental functions in the process of the development of a child: On material from a comparative investigation of twins. Voprosy Psychologii, 3, 15-22.

Meichenbaum, D., & Cameron, R. (1974). The clinical potential of modifying what clients say to themselves. Psychotherapy: Theory, Research, & Practice, 11, 103-117.

Meichenbaum, D. (1974). Self-Instructional Strategy Training: A cognitive prosthesis for the aged. Human Development, 17, 273-280.

Meichenbaum, D. (1975). Enhancing creativity by modifying what subjects say to themselves. American Educational Research Journal, 12, 129-45.

Meichenbaum, D. (1977). Cognitive-behavior modification: An integrative approach. New York: Plenum.

Meichenbaum, D. H., & Goodman, J. (1971). Training impulsive children to talk to themselves: A means of developing self-control. Journal of Abnormal Psychology, 77, 115-126.

Peterson, G. W., Sampson, J. P. Jr., Lenz, J. G., & Reardon, R. C. (2002). A cognitive information processing approach to career problem solving and decision making. In D.Brown (Ed.), Career choice and development (4th ed., pp. 312-369). San Francisco, CA: Jossey-Bass.

Peterson, G. W., Sampson, J. P. Jr., & Reardon, R. C. (1991). Career development and services: A cognitive approach. Belmont, CA: Brooks/Cole.

Peterson, G. W., Sampson, J. P., Jr., Reardon, R. C., & Lenz, J. G. (1996). Becoming career problem solvers and decision makers: A cognitive information processing approach. In D. Brown & L. Brooks (Eds.), Career choice and development (3rd. Ed.) (pp. 423-475). San Francisco, CA: Jossey-Bass.

Reardon, R. C., Lenz, J. G., Sampson, J. P., & Peterson, G. W. (2000). Career planning and development: A comprehensive approach. Belmont, CA: Wadsworth.

Reed, C. R., Lenz, J. L., Reardon, R. C., & Leierer, S. (2000). Using the Career Thoughts Inventory to study the impact of a career course (technical report No. 25).  Tallahassee, FL:  Florida State University.  Also available at http://www.career.fsu.edu/documents/technical reports/technical reports.html

Reed, C., Reardon, R., Lenz, J., & Leierer, S. (2001). Reducing negative career thoughts with a career course. Career Development Quarterly, 50, 158-167

Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences (2nd ed.). New York: Holt.

Salkovskis, P. M., Clark, D. M., & Hamel, D. A. (1991). Treatment of panic attacks using cognitive therapy without exposure or breathing retraining. Behavior Research and Therapy, 29, 161-166.

Sampson, J. P., Jr., Lenz, J. G., Reardon, R. C., & Peterson, G. W. (1999). A cognitive information processing approach to employment problem solving and decision making. The Career Development Quarterly, 48, 3-18.

Sampson, J. P. Jr., Peterson, G. W., Lenz, J. G., Reardon, R. C., & Saunders, D. E. (1996a). Career Thoughts Inventory. Odessa, FL: Psychological Assessment Resources.

Sampson, J. P. Jr., Peterson, G. W., Lenz, J. G., Reardon, R. C., & Saunders, D. E. (1996b). Improving your career thoughts: A workbook for the Career Thoughts Inventory. Odessa, FL: Psychological Assessment Resources.

Sampson, J. P. Jr., Peterson, G. W., Lenz, J. G., Reardon, R. C., & Saunders, D. E. (1996c). Career Thoughts Inventory professional manual. Odessa, FL: Psychological Assessment Resources.

Sampson, J. P. Jr., Reardon, R. C., Peterson, G. W., & Lenz, J. G. (2004). Career counseling and services: A cognitive information processing approach. Belmont, CA: Brooks/Cole.

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 2, 420-428.

Slaney, R. B. (1980). Expressed vocational choice and vocational indecision. Journal of Counseling Psychology, 27, 122-129.

Smith, M. L., & Glass, G. V. (1987). Research and evaluation in education and the social sciences. Boston, MA: Allyn and Bacon.

Strunk, D. R. (2001). Cognitive therapy for depression: A review of its efficacy. Journal of Cognitive Psychotherapy: Special issue: Review of cognitive behavioral therapy, 15, 289-297.

Vernick, S. H. (1999). The Career Thoughts Inventory (CTI) in research and practice (Rep. No. ED445304).

Wells, A. (2000). Emotional disorders and metacognition: Innovative cognitive therapy. New York: Wiley.

 


Table 1

A Schema for Effectiveness of Reframes of Cognitive Distortions Influencing Career Problem Solving and Decision Making

 

Less Effective Reframe

More Effective Reframe

Locus of control

§      External focus

§      Internal focus

 

§      Reactive or defensive posture

§      Proactive or open posture

 

§      Views self as powerless to change

§      Views self as capable of change

 

§      Attributes positive events to chance or behavior of others

§      Attributes positive events to own behavior

 

§      Defers responsibility to others

§      Assumes responsibility for self

 

§      Lacks self-confidence (trust in self)

§      Has self-confidence (trust in self)

Explicitness

§      Little or no evidence goal or direction (no gap identified)

§      Evidence of a goal or direction (gap identified)

 

§      Uses general language about planning (lacks detail)

§      Has specific details about a plan to reach a goal

 

§      No evidence of a decision-making model

§      Evidence of a decision-making model

 

§      Does not provide measurable objectives

§      Provides measurable objectives

 

§      Views planning as unimportant

§      Views planning as important

 

§      Identifies 0 or 1 option for solving problem

§      Identifies multiple options for solving problem

 

§      No evidence of evaluating decision making progress

§      Evidence of evaluating decision making progress

Affect

§      Does not address emotional component

§      Addresses emotional component

 

§      Provides no strategy for emotional coping

§      Provides a strategy for emotional coping

Time Sensitivity

§      A sense of pessimism about the future

§      A sense of optimism about the future

 

§      Unrealistic expectation of time required to make a decision

§      Realistic expectation of time required to make a decision

 

§      No acknowledgement of need for persistence and commitment

§      Acknowledges need for persistence and commitment

 

§      Views decision-making as a one-time event

§      Acknowledges the ongoing process of decision-making

Word Choice

§      Uses absolute words (can’t, never, right)

§      Uses positive words (can, able)

 

§      Uses imperatives (should, must, have to)

§      Does not use imperatives (should, must, have to)

 

§      Uses simple reversal (worried à not worried)

§      Uses more detailed language

Missing Key Point(s)

§      Reframe excludes a problematic element of original item

§      Reframe resolves problematic elements of the original item

 

§      Reframe does not address career-decision making domain

§      Reframe addresses career-decision making domain

Reframe Structure

§      Reframe does not follow the parallel structure of the original item

§      Reframe parallels structure of item (if-then, action-consequence)

Copyright © 2003, Darrin Carr, James P. Sampson, Jr., Janet Lenz, Gary Peterson, & Robert Reardon. All rights reserved.


 


Table 2

 

 

 

 

 

Demographic Comparison of Sample vs. University Population

 

 

 

Spring 2002

 

 

 

Sample

%

FSU UG Pop*

%

% Diff

College Admitted

 

 

 

 

 

Undecided

24

27.91

1846

7.31

-20.61

Arts & Sciences

7

8.14

5137

20.33

12.19

Business

15

17.44

5200

20.58

3.14

Education

2

2.33

1738

6.88

4.55

Human Sciences

4

4.65

1733

6.86

2.21

Social Sciences

19

22.09

2507

9.92

-12.17

Criminology

5

5.81

1181

4.67

-1.14

Communication

8

9.30

1498

5.93

-3.37

Visual Arts & Dance

1

1.16

850

3.36

2.20

Missing

1

1.16

0

0.00

-1.16

Nursing

 

0.00

576

2.28

2.28

Information Studies

 

0.00

696

2.74

2.74

Social Work

 

0.00

294

1.16

1.16

Motion Picture Film

 

0.00

128

0.51

0.51

Music

 

0.00

498

1.97

1.97

Theatre

 

0.00

330

1.31

1.31

Engineering

 

0.00

1058

4.19

4.19

 

86

100.00

25270

100.00

 

Ethnicity

 

 

 

 

 

None

0

0.00

188

0.74

0.74

American Indian

0

0.00

102

0.40

0.40

Asian

1

1.16

720

2.84

1.67

Black

7

8.14

3094

12.19

4.05

Hispanic

4

4.65

2297

9.05

4.40

White

70

81.40

18685

73.63

-7.77

Other

4

4.65

0

0.00

0.00

Non-Resident Alien

0

0.00

292

1.15

 

 

86

100.00

25378

100.00

 

Year in School

 

 

 

 

 

Freshman

17

19.77

4802

18.92

-0.85

Sophomore

26

30.23

5357

21.11

-9.12

Junior

16

18.60

7131

28.10

9.49

Senior

27

31.40

8088

31.87

0.47

 

86

100.00

25378

100.00

 

Sex

 

 

 

 

 

Female

57

66.28

14253

56.16

-10.12

Male

29

33.72

11125

43.84

10.12

 

86

100.00

25378

100.00

 

 

 

 

 

 

 

*source is FSU Institutional Research http://www.ir.fsu.edu/

 


Table 3
Rater Agreement During Training

 

Rater 1 & 2

Rater 2 & 3

Rater 1 & Rater 3

Agreement (0)

15

12

16

Partial Agreement (1)

7

11

7

Disagreements (2)

2

1

1

Total Ratings

24

24

24

Weighted Kappa

.46

.29

.50

 p

.000

.012

.000

 
Table 4
Tests of Comparison of Treatment and Control Group Demographics

 

 

 

 

 

 

 

 

 

 

df

F

p.

Age

1

.002

.964

Sex

1

.051

.821

Self Reported Credit Hours

1

1.110

.295

Year in School

1

.753

.388

Lower vs. Upper Division

1

.000

                1.000

Vocational Decidedness (OAQ)

1

.322

.572

Satisfaction

1

.010

.921

Transfer

1

.602

.440

 

 

Table 5
Descriptive Statistics for Reframe Effectiveness by Time (With Outliers, n = 86)

Effect

Pre Tx

Post Tx

Post Tx + 2wks

Mean

.18265504

.32049419

.33696705

Std Deviation

.239221795

.283826139

.267641292

Skewness

1.049

.037

.600

SE Skewness

.260

.260

.260

Kurtosis

1.573

-.529

1.475

SE Kurtosis

.514

.514

.514

K-S Statistic

.108

.076

.118

K-S df

86

86

86

K-S P

.015

.200*

.005

* lower bound of true significance

 


 

Table 6
Descriptive Statistics for Reframe Effectiveness by Time (Outliers Removed, n = 84)

Effect

Pre Tx

Post Tx

Post Tx + 2wks

Mean

.16914683

.31001984

.32415675

Std Deviation

.221718710

.278410096

.252711848

Skewness

.883

.046

.407

SE Skewness

.263

.263

.263

Kurtosis

1.152

-.461

1.205

SE Kurtosis

.520

.520

.520

K-S Statistic

.098

.081

.114

K-S df

84

84

84

K-S P

.045

.200*

.009

* lower bound of true significance

 


 

Table 7
Descriptive Statistics for Reframe Effectiveness by Time after Outliers Removed
(Control Group, n = 42)

Effect

Pre Tx

Post Tx

Post Tx + 2wks

Mean

.17658730

.20982143

.34126984

Std Deviation

.19999778

.26478122

.24770083

Skewness

.968

.509

.787

SE Skewness

.365

.365

.365

Kurtosis

2.291

.269

.874

SE Kurtosis

.717

.717

.717

K-S Statistic

.121

.111

.114

K-S df

42

42

42

K-S p

.129

.200*

.200*

* lower bound of true significance

 


 

Table 8
Descriptive Statistics for Reframe Effectiveness by Time after Outliers Removed|
(Treatment Group, n = 42)

Effect

Pre Tx

Post Tx

Post Tx + 2wks

Mean

.16170635

.41021825

.30704365

Std Deviation

.24373109

.25736476

.25947735

Skewness

.876

-.363

.113

SE Skewness

.365

.365

.365

Kurtosis

.664

.112

1.599

SE Kurtosis

.717

.717

.717

K-S Statistic

.107

.111

.114

K-S df

42

42

42

K-S p

.200*

.105

.054

* lower bound of true significance

 


 

Table 9
Multivariate Test of Effects and Interactions of Time, CTI Score, and Treatment Status on Reframe Effectiveness (n = 83, Control: n = 42, Treatment: n = 41, Low CTI: n = 39, High CTI: n = 44)

Effect

Wilks l

F

df

p

Time

.713

15.726

2

.000

Time x
Treatment Status

.808

9.273

2

.000

Time x
CTI Score

.986

.568

2

.569

Time x
CTI Score x Treatment Status

.993

.280

2

.757

 


 

Table 10
Multivariate Test of Effects and Interactions of Time, CTI Score, and Treatment Status
on Reframe Effectiveness (n = 84, Control: n = 42, Treatment: n = 42)

Effect

Wilks l

F

df

p

Time

.710

15.726

2

.000

Time x
Treatment Status

.818

9.016

2

.000

 


 

Table 11
Tests of Within Subjects Effects and Associated Contrasts for Time and
Time by Treatment Status (n = 84, Control: n = 42, Treatment: n = 42)

Effect

Contrast

F

df

p

Time

 

16.726

 

.000

 

PreTx vs. PostTx

20.378

1

.000

 

PostTx vs. PostTx+2 Wks

12.182

1

.001

Time x Treatment Status

9.655

 

.000

 

PreTx vs. PostTx

11.897

1

.001

 

PostTx vs. PostTx+2 Wks

6.866

1

.010

 

 

Table 12
Post Hoc Tests of Reframe Effectiveness between Groups by Time

Time

Treatment (s)
(n = 42)

Control (s)
(
n = 42)

df

F

p

ES

PreTx

.162 (.244)

.177 (.200)

.015

1

.094

.760

N/A

PostTx

.410 (.257)

.210(.265)

.2

1

12.371

.001

.77

PostTx
+2 Weeks

.307 (.259)

.341 (.248)

.034

1

.382

.538

N/A

 


 

Table 13
Post Hoc Contrasts of Reframe Effectiveness by Time for Control Group

Time

(s)

S.E.