Confirmatory factor analyses of the WAIS-III standardization data

Confirmatory factor analyses with the standardization data of the Wechsler Adult Intelligence Scale-Third Edition (Wechsler, 1997a) compared 6 models with 1 to 4 factors for 11- and 13-subtest versions of the test. Three factors usually fit the data better than 2 factors, but 2-factor models were more parsimonious. A 2-factor model with a Verbal Comprehension factor (Vocabulary, Similarities, Information, and Comprehension) was as good as and sometimes better than the 2-factor model defined by the traditional separation of Verbal and Performance subtests. For 3-factor models, alternative specifications of processing speed subtests on either the Perceptual Organization or Freedom From Distractibility factor were comparable, and specifying a 4th factor for Digit Symbol and Symbol Search had little advantage in comparison with 3-factor models with correlated errors for the 2 subtests.     

WAIS-IV subtest covariance structure: conceptual and statistical considerations

D. Wechsler (2008b) reported confirmatory factor analyses (CFAs) with standardization data (ages 16-69 years) for 10 core and 5 supplemental subtests from the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). Analyses of the 15 subtests supported 4 hypothesized oblique factors (Verbal Comprehension, Working Memory, Perceptual Reasoning, and Processing Speed) but also revealed unexplained covariance between Block Design and Visual Puzzles (Perceptual Reasoning subtests). That covariance was not included in the final models. Instead, a path was added from Working Memory to Figure Weights (Perceptual Reasoning subtest) to improve fit and achieve a desired factor pattern. The present research with the same data (N = 1,800) showed that the path from Working Memory to Figure Weights increases the association between Working Memory and Matrix Reasoning. Specifying both paths improves model fit and largely eliminates unexplained covariance between Block Design and Visual Puzzles but with the undesirable consequence that Figure Weights and Matrix Reasoning are equally determined by Perceptual Reasoning and Working Memory. An alternative 4-factor model was proposed that explained theory-implied covariance between Block Design and Visual Puzzles and between Arithmetic and Figure Weights while maintaining compatibility with WAIS-IV Index structure. The proposed model compared favorably with a 5-factor model based on Cattell-Horn-Carroll theory. The present findings emphasize that covariance model comparisons should involve considerations of conceptual coherence and theoretical adherence in addition to statistical fit.     

Confirmatory factor analysis of the NEPSY for younger and older school-age children

Using the standardization sample from the NEPSY, confirmatory factor analysis was conducted to examine the factor structure for ages 5 through 12 of the NEPSY sample, as well as for the younger (5 to 8 years, n=400) and older (9 to 12 years, n=400) age bands, to explore possible differences in test structure at different developmental epochs. Using four standard fit indices, results indicated that a 5-factor model was less than adequate for the entire sample and produced negative error variance for the younger and older age groups, making any solutions for the two subgroups inadmissible. A 4-factor model without the Attention/Executive Function subtests produced satisfactory fit statistics for the entire sample and the younger group, but did not fit the data as well for the older group. A 1-factor model did not fit well for the full sample. These results indicated that the structure for the NEPSY is not invariant across development, with the 4-factor model best fitting the data for the younger age group and for the entire school-age sample.     

Factor structure of the Eyberg Child Behavior Inventory: a parent rating scale of Oppositional Defiant Behavior Toward Adults, Inattentive Behavior, and Conduct Problem Behavior

Used the Eyberg Child Behavior Inventory (ECBI) to measure disruptive behavior problems in children and adolescents. A controversy exists, however, on the dimensional structure of the ECBI. To evaluate this issue, an exploratory factor analysis was first performed on a sample of 1,263 children and adolescents. This analysis identified 3 meaningful factors (i.e., Oppositional Defiant Behavior Toward Adults, Inattentive Behavior and Conduct Problem Behavior) and a fourth, poorly defined factor. A confirmatory factor analysis (CFA) evaluated the fit of the 3 meaningful factors in a second sample of 1,264 children and adolescents. The 3-factor model with 2 correlated errors provided a excellent fit. This 3-factor model also provided a significantly better fit than 2- and 1-factor models. Multiple group CFA indicated that the factor pattern, item-factor loadings, factor correlations, and correlated errors were equivalent across the samples. The CFA on sex yielded similar results. Initial normative information is presented for boys (n = 1,322) and girls (n = 1,205) within 4 age ranges (i.e., 2-5, 6-9, 10-13, 14-17) for the 3 factors. The use of these 3 factors, especially Oppositional Defiant Behavior and Conduct Problem Behavior, should make the ECBI more useful as a screening and outcome measure.     

Measurement of smoking outcome expectancies in children: the Smoking Consequences Questionnaire-Child.

A measure of smoking outcome expectancies was developed for children ages 7-12 years. Confirmatory factor analysis (CFA) was used to determine whether a 1-, 2-, 3-, or 4-factor solution was most appropriate for the data set. CFA revealed that the 3-factor model produced the most adequate fit (Positive Reinforcement, Negative Consequences, and Weight Control). The resulting 15-item measure was named the Smoking Consequences Questionnaire-Child (SCQ-C). The fit of the 3-dimensional structure was then examined separately for 3 age groups representing young (7- to 8-year-old), middle (9- to 10-year-old), and old (11- to 13-year-old) children. Overall, the 3-factor structure fit the data well for the 3 groups. As such, we examined the relations of the 3 scales with antecedent variables for the entire sample. The Positive Reinforcement scale was associated with children's smoking behavior and having a family member or peers who smoked. The Negative Consequences scale was inversely related to having a family member or peer who smoked.     

Examination of the structural, convergent, and incremental validity of the Reynolds Intellectual Assessment Scales (RIAS) with a clinical sample

Empirical examination of the Reynolds Intellectual Assessment Scales (RIAS; C. R. Reynolds & R. W. Kamphaus, 2003a) has produced mixed results regarding its internal structure and convergent validity. Various aspects of validity of RIAS scores with a sample (N = 521) of adolescents and adults seeking psychological evaluations at a university-based clinic were examined. Results from exploratory factor analysis indicated only 1 factor, and confirmatory factor analysis (CFA) indicated that the 1-factor model was a good fit and a better fit than the 2-factor model. Hierarchical factor analysis indicated the higher order, general intelligence factor accounted for the largest amount of variance. Correlations with other measures of verbal/crystallized and nonverbal/fluid intelligence were supportive of the convergent validity of the Verbal Intelligence Index but not the Nonverbal Intelligence Index. Joint CFA with these additional measures resulted in a superior fit of the 2-factor model compared with the 1-factor model, although the Odd-Item-Out subtest was found to be a poor measure of nonverbal/fluid intelligence. Incremental validity analyses indicated that the Composite Intelligence Index explained a medium to large portion of academic achievement variance; the NIX and VIX explained a small amount of remaining variance. Implications regarding interpretation of the RIAS when assessing similar individuals are discussed.     

Testing factor models of the Psychopathy Checklist: Youth Version and their association with instrumental aggression

Although there is a documented link between psychopathy and instrumental violence in adult offenders, the association between these constructs has not garnered significant attention in adolescent offenders. In this study, we evaluated the relationship between psychopathy and instrumental aggression in a sample of 122 male adolescents incarcerated in a state facility for serious and chronic offenders. We evaluated the primary (2-, 3-, and 4-factor) models of the Psychopathy Checklist: Youth Version (PCL:YV; Forth, Kosson, & Hare, 2003) and assessed their relationship to a separate 5-item measure of instrumental violence. CFA revealed good model fit for the 3- and 4-factor latent variable models of adolescent psychopathy and a single-factor model reflecting a 5-item measure of instrumental violence. Structural equation modeling results indicate that the 4-factor model accounted for 20% of the variance for instrumental violence. In contrast, the 3-factor model of the PCL:YV accounted for 8%, and the 2-factor model accounted for 5% of the variance associated with instrumental violence.     

A Cross-Cultural Examination of the Aggression Questionnaire–Short Form Among Egyptian and Omani Adolescents

The psychometric properties of an Arabic version of the Aggression Questionnaire–Short Form (AQ–SF) were examined in 2 samples of Egyptian and Omani adolescents. Confirmatory factor analysis (CFA) revealed that the 4-factor model had adequate fit to the data of both samples, whereas the unidimensional and hierarchical models did not. Multigroup CFAs revealed culture invariance for the AQ–SF 4-factor model when the 2 samples were compared for each gender. The analysis also revealed gender invariance for the AQ–SF 4-factor model within the Omani sample. However, the analysis showed partial gender invariance for the AQ–SF 4-factor model within the Egyptian sample. A latent mean analysis showed consistent gender differences on Physical Aggression in the male direction when males and females were compared across and within both samples. The AQ–SF correlated positively and significantly with peer nominations but did not correlate with a measure of social desirability.     

Factor Structure of Subjective Well-Being in Iran

Subjective well-being is predominantly conceived as having 3 components: life satisfaction, positive affect, and negative affect. This article reports 2 studies that seek to investigate the factor structure of subjective well-being in Iran. One-, two-, and three-factor models of subjective well-being were evaluated using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). The results of Study 1 (N = 2,197) and Study 2 (N = 207) show that whereas the 1- and 2-factor models do not fit the data well, the 3-factor model provides an adequate fit. These results indicate that the 3 components of subjective well-being constitute 3 interrelated, yet distinct, factors. The analyses demonstrate how traditional CFA and ESEM can be combined to obtain a clear picture of the measurement model of subjective well-being and generate new insights about individual items and cross-loadings needed to derive more parsimonious measures. Nuances relating to the assessment of subjective well-being in more collectivist and Muslim countries are discussed.     

Assessment of hostility in patients with coronary heart disease

One of the problems in efforts to more clearly conceptualize hostility is the amount of method variance, which ranges from self-report techniques to interview-based methods and mirrors the multidimensional nature of hostility and related constructs. In addition, rather few studies concerned with the assessment of hostility have specifically used samples of coronary heart disease (CHD) patients. The purpose of this study was, therefore, to examine the multidimensionality of the construct of hostility in a sample of male coronary patients with some frequently used instruments. Factor analysis was used to detect the relevant underlying constructs, which were assessed using a variety of hostility measures in a sample of cardiac patients undergoing baseline assessment in an ongoing health-education intervention study. Measurement included both questionnaires and interviews. Participants (N = 235) were divided into 3 diagnostic groups: patients who had recently undergone (a) a myocardial infarction, (b) coronary artery bypass grafting, or (c) percutaneous transluminal coronary angioplasty. A 4-factor solution appeared to provide the best fit, and the following factors were isolated: Anger-Out, Negative Affect, Coping, and Anger-In. All intercorrelations were less than .50. Medical diagnosis did not differ with regard to the 4 factors found. The total hostility construct as measured by the structured interview (SI) did not fit into the 4-factor model. This study was the first to show that dimensions of anger and hostility constitute valid and relevant aspects of the general construct of hostility for a representative group of CHD patients. The 4 aspects of hostility isolated using some well-known hostility questionnaires and the SI explained most of the observed variance. Although the SI appeared to tap more general state anger, the 4 aspects of hostility may be differentially related to health in those who are coronary prone. Future studies on the role of hostile or negative emotions in CHD patients should, therefore, pay greater attention to the multidimensional nature of hostility and may clearly benefit from the use of the 4-factor model described in this article.     

Confirmatory factor analysis of the three-factor structure of the schizotypal personality questionnaire and Chapman schizotypy scales

We examined the factor structure of the Schizotypal Personality Questionnaire (SPQ; Raine, 1991), using confirmatory factor analysis in 3 experiments, with an aim to better understand the construct of schizotypy. In Experiment 1 we tested the fit of 2-, 3-, and 4-factor models on SPQ data from a normal sample. The paranoid 4-factor model fit the data best but not adequately. Based on the strong basis for the Raine 3-factor model we attempted to improve the fit of the 3-factor model by making 3 modifications to the Raine model. These modifications produced a well-fitting model. In Experiment 2 the good fit of this modified 2-factor model to SPQ scores was replicated in an independent normal sample. In Experiment 3, the modified 3-factor model was successfully extended to include the 3 Chapman schizotypy scales. Together these 3 experiments indicate that the 3-factor model of the SPQ, albeit with some slight modifications, is a good model for schizotypy structure that is not restricted to 1 measure of schizotypal personality traits.     

Cross-cultural perspective of driving style in young adults: Psychometric evaluation through the analysis of the Multidimensional Driving Style Inventory

Self-evaluating methods are frequently used to identify driving styles. Among others, one of the most commonly used questionnaires is the Multidimensional Driving Style Inventory (MDSI), developed for the Israeli population. Because of the extensive use of the questionnaire, the present paper aims to validate an Italian version and to confirm the 8-factor structure of the original one, i.e, dissociative, anxious, risky, angry, high-velocity, distress-reduction, patient, and careful driving style. The Italian version of the MDSI was filled out by 561 Italian drivers, who had a driving license for at least 1 year. A confirmatory factorial analysis (CFA) was conducted on the 44-item of the translated questionnaire showing not so good values of the goodness of fit tests (SRMR = 0.085; RMSEA = 0.063). The total-item correlation of each scale indicated that 4 items had a low index of total-item correlation. A second CFA was conducted on the remaining 40 items: goodness fit parameters improved (SRMR = 0.0685, RMSEA = 0.0584). Previous validations of the original version of MDSI for different populations (Argentine, Romanian, Chinese, Malaysian, Butch and Belgian) showed several critical issues in confirming the original structure. In the Italian version of MDSI validated in the present paper, the original 8-factor structure was confirmed by removing the 4 items which did not properly contribute to the factors. The results not only confirmed the usefulness of the MDSI in assessing driving style but they also indicated that the concept of driving style is considered in the same way in Italy and Israel, even though traffic rules are different. The latter consideration raises interesting questions for future research concerning cross-cultural comparisons of driving behavior in different countries.     

Tacit knowledge in academia: a proposed model and measurement scale

The authors propose a multidimensional model of tacit knowledge and develop a measure of tacit knowledge in academia. They discuss the theory and extant literature on tacit knowledge and propose a 6-factor model. Experiment 1 is a replication of a recent study of academic tacit knowledge using the scale developed and administered at an Israeli university (A. Somech & R. Bogler, 1999). The results of the replication differed from those found in the original study. For Experiment 2, the authors developed a domain-specific measure of academic tacit knowledge, the Academic Tacit Knowledge Scale (ATKS), and used this measure to explore the multidimensionality of tacit knowledge proposed in the model. The results of an exploratory factor analysis (n=142) followed by a confirmatory factor analysis (n=286) are reported. The sample for both experiments was 428 undergraduate students enrolled at a large public university in the eastern United States. Results indicated that a 5-factor model of academic tacit knowledge provided a strong fit for the data.     

Optimizing Prediction of Attrition With the U.S. Army's Assessment of Individual Motivation (AIM)

The regression framework is often the method of choice used by psychologists for predicting organizationally relevant outcomes from test scores. However, alternatives to regression exist, and these techniques may provide better prediction of outcomes and a more effective means of classifying examinees for selection and placement. This research describes two of these alternatives—decision tree methodology and optimal appropriateness measurement (OAM)—and how they were used to optimize the prediction of attrition among a sample of first-term enlisted soldiers (N?=?22,537) using a temperament inventory called the Assessment of Individual Motivation (AIM). Results demonstrated that the OAM approach provided better differentiation between “stayers” and “leavers” after 12 months than either the traditional logistic regression or the decision tree methods.     

The joint WAIS-III and WMS-III factor structure: development and cross-validation of a six-factor model of cognitive functioning

During the standardization of the Wechsler Adult Intelligence Scale (3rd ed.; WAIS-III) and the Wechsler Memory Scale (3rd ed.; WMS-III) the participants in the normative study completed both scales. This "co-norming" methodology set the stage for full integration of the 2 tests and the development of an expanded structure of cognitive functioning. Until now, however, the WAIS-III and WMS-III had not been examined together in a factor analytic study. This article presents a series of confirmatory factor analyses to determine the joint WAIS-III and WMS-III factor structure. Using a structural equation modeling approach, a 6-factor model that included verbal, perceptual, processing speed, working memory, auditory memory, and visual memory constructs provided the best model fit to the data. Allowing select subtests to load simultaneously on 2 factors improved model fit and indicated that some subtests are multifaceted. The results were then replicated in a large cross-validation sample (N = 858).     

Revisiting the factor structure of the WAIS-R: insights through nested factor modeling

Past attempts to model via confirmatory factor analysis (CFA) the Wechsler Adult Intelligence Scale-Revised (WAIS-R) intersubtest covariation have used an oblique factor or a higher order modeling approach. The attempts have failed to yield adequate model fit, based on current CFA recommendations. Using the WAIS-R standardization data, it is demonstrated that the WAIS-R can be better conceptualized as measuring a first-order general factor and three orthogonal group-level factors. The results are discussed in relation to Verbal and Performance Intelligence scoring and failed attempts to find relationships between VIQ/PIQ difference scores and external criteria. Because Arithmetic and Digit Span did not share any variance with the other VIQ subtests, independent of General Intelligence, clinicians should reconsider interpreting a VIQ score that includes information from Arithmetic and Digit Span in nonclinical populations. Researchers are encouraged to model intelligence factors as nested factor models, considering their superior model fit, and the increased clarity in the interpretations of relationships between IQ indices and criteria.     

Two Tracks of Thought: A Structural Model of the Test for Creative Thinking-Drawing Production (TCT-DP)

The Test for Creative Thinking-Drawing Production (TCT-DP, Urban & Jellen, 1986) is one of the most used instruments for the assessment of creative potential. Few studies exist regarding its factorial structure, and all of them were limited to using an exploratory approach. The aim of this research was to assess the factorial structure of the TCT-DP (Form A) for undergraduate and postgraduate Portuguese students. Two studies were performed, where Study 1 (967 participants) consisted of an exploratory factor analysis (EFA) that yielded a 2-factor solution and Study 2 (920 participants) consisted of a confirmatory factor analysis (CFA) used to test the fit and compare the suitability of the 2 factorial solutions with alternative models. The 2-factor model exhibited good and acceptable indices of fit. The factors represented Innovativeness and Adaptiveness. This model was called Two Tracks of Thought (TTT). Its structure suggests the importance of both non-conventional and conventional thinking for the creative process.     

Examining the construct validity of the Eating Disorder Inventory

The construct validity of the Eating Disorder Inventory (EDI) was examined in 3 samples. An archival clinic sample (n = 318) of women completed the EDI, a structured interview, and the Millon Clinical Multiaxial Inventory-II (MCMI-II). Confirmatory factor analyses (CFAs) indicated that neither null nor 1-factor models of the EDI fit item-level or item-parcel data. The proposed 8-factor model did not fit at the item level but did fit item-parcel data. Reliability estimates of the 8 scales ranged from .82 to .93, and low-to-moderate interscale correlations among the eating and weight-related scales provided partial support for convergent validity. EDI personality scales showed moderate interscale correlations and were associated with MCMI-II scales. A final CFA of the EDI scales supported a 2-factor model (Eating and Weight, Personality) of the 8 EDI scales. Strong associations between depression and several EDI scale scores were found in a treatment study sample (n = 50). The archival clinic sample scored significantly higher on the 8 EDI scales than the nonpatient college comparison sample (n = 487).     

Measurement of agency, communion, and emotional vulnerability with the Personal Attributes Questionnaire

Factor analytic studies of the 24-item Personal Attributes Questionnaire (Spence & Helmreich, 1978) have reported inconsistent results, and a previous confirmatory factor analysis (CFA) indicated inadequate fit for factors corresponding to Masculinity, Femininity, and Masculinity-Femininity scales. In this research, we used CFA in a college sample (N = 382) to evaluate the 3-factor model, and we revised scales by eliminating 6 misspecified items. The revised model fit well in another college sample (N = 230). We renamed the revised scales Agency, Communion, and Emotional Vulnerability. In relation to Five-factor theory, Emotional Vulnerability and Communion correlated well with Neuroticism and Agreeableness, respectively, and Agency had moderate correlations with Neuroticism, Extraversion, and Conscientiousness. Psychometric results in the context of current theory suggest that Agency (Masculinity) may not be a fully adequate measure of the agency construct.     

A Reexamination of the Structure of the Inward Outward Upward Prayer Scale

The dimensional structure of the Inward Outward Upward Prayer Scale was examined using exploratory factor analytic and confirmatory factor analytic (CFA) methods. A total of 703 adult Jewish pray-ers participated in the study. CFA indicated a satisfactory fit for the first-order eight-factor structure after excluding two cross-loaded items. The eight prayer subscales demonstrated acceptable levels of reliability, and the correlations between the subscales were similar to those reported in past research. CFA on second-order models indicated that a two-dimensional modality model (cognitive prayer/emotional prayer) had the best fit and was clearly superior to the directionality and intentionality models presented in past research. The implications of these findings for future research on the psychology of prayer are discussed.