Revisiting the Factor Structure of the Questionnaire on Smoking Urges.

This study assessed the factor structure of the Questionnaire on Smoking Urges (QSU), a commonly used assessment of cravings for cigarettes, with a sample of smokers presenting for treatment in a smoking cessation trial. On the basis of previous research, three confirmatory factor analytic models were tested. Model 1 hypothesized a 26-item, 2-factor model using the items reported in the original QSU analysis by S. T. Tiffany and D. J. Drobes (1991). Model 2 hypothesized a 12-item, 2-factor model comprised of the 6 most robust items found in each of the 2 factors of the original factor analysis. Using the 12 items from Model 2, Model 3 hypothesized a 12-item, 1-factor model. The 2nd model was found to fit the data best. Reliability was also tested using values obtained in this 2nd model, and these estimates were found to be reasonably good. Future research directions for the QSU are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor analysis 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. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The bilevel structure of the Outcome Questionnaire–45.

The structure of the Outcome Questionnaire–45 (Lambert et al., 2001) was examined in a sample of 1,100 university counseling center clients using confirmatory factor analysis. Specifically, the relative fit of 1-factor, 3-factor orthogonal, 3-factor oblique, 4-factor hierarchical, and 4-factor bilevel models were examined. Although the 3-factor oblique, 4-factor hierarchical, and 4-factor bilevel models fit the data well, the 4-factor bilevel model fit the data best. The results provided support for the fit of the 4-factor bilevel model where each item loads on 1 of the 3 independent scales of Symptom Distress, Social Role Performance, and Interpersonal Relations, in addition to a nonoverlapping general distress factor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Assessment of posttraumatic stress disorder in World War II veterans.

Four posttraumatic stress disorder (PTSD) scales were compared in a community sample of 330 American former prisoners of war and combat veterans of World War II. The Mississippi Scale for Combat-Related PTSD (M-PTSD), the MMPI-2 Pk PTSD scale, and the Impact of Event Scale (IES) all demonstrated moderate relationships with PTSD as defined by the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-III-Revised (DSM-III-R). Comparative validities were similar to those observed in Vietnam veteran samples. Confirmatory factor analysis indicated that the 3 scales loaded significantly on 1 factor. The impact of Diagnostic and Statistical Manual of Mental Disorders (4th ed.) PTSD criteria changes was examined and found to be minimal. Implications for the use of the M-PTSD, Pk, and IES in combat-related PTSD assessment are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development and psychometric evaluation of a measure of intuitive eating.

Intuitive eating is characterized by eating based on physiological hunger and satiety cues rather than situational and emotional cues and is associated with psychological well-being. This study reports on the development and initial psychometric evaluation of the Intuitive Eating Scale (IES) with data collected in 4 studies from 1,260 college women. Exploratory factor analysis uncovered 3 factors: unconditional permission to eat, eating for physical rather than emotional reasons, and reliance on internal hunger/satiety cues; confirmatory factor analysis suggested that this 3-factor model adequately fit the data after 4 items with factor loadings below .45 were deleted. IES scores were internally consistent and stable over a 3-week period. Supporting its construct validity, IES scores were (a) negatively related to eating disorder symptomatology, body dissatisfaction, poor interoceptive awareness, pressure for thinness, internalization of the thin ideal, and body mass; (b) positively related to several indexes of well-being; and (c) unrelated to impression management. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A confirmatory maximum likelihood factor analysis of the WAIS-R.

A simultaneous maximum likelihood confirmatory factor analysis of intercorrelations among the 11 subtests of the WAIS–R was undertaken in the 9 age groups in the normative sample (D. Wechsler, 1981). Several models were fit to the data and compared, including a single-factor model; orthogonal and oblique 2-factor models, comprised of the Verbal and Performance subtests, respectively; an orthogonal and 2 oblique 3-factor models, the 3rd factor involving the Digit Span, Arithmetic, and Digit Symbol subtests; a 3-factor model, composed of a general intellectual factor and Verbal and Performance factors; and a 4-factor model, consisting of both a general factor and 3 common ability factors (Verbal Comprehension, Perceptual Organization, and Memory/Freedom from Distractability). Results suggest that (a) the single-factor model fits the data fairly well, although there is some misspecification in this model; (b) none of the multifactor models fit the data markedly better than the single-factor model; and (c) the single-factor structure is consistent across the age groups. It is concluded that the WAIS–R largely contains a general intellectual factor and that any common ability factors therein play a minor role in influencing WAIS–R subscale scores. (23 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Latent structure of the Postconcussion Syndrome Questionnaire.

The underlying structure of the Postconcussion Syndrome Questionnaire (PCS) was evaluated in a large sample of medical and psychiatric patients. Three potentially viable models were generated using exploratory factor analysis with half of the sample. The other half evaluated the 3-, 4-, and 5-factor models using confirmatory factor analytic procedures. The factor analyses generated compelling data for a 5-factor model for the PCS questionnaire. However, internal consistency for each of the factors argued in favor of the 3-factor model. Balancing internal consistency, confirmatory factor analyses, and parsimony resulted in endorsement of a 4-factor solution for the PCS questionnaire for this sample. The factors are best described as clusters of psychological, somatic, cognitive, and infrequent complaints. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

WAIS-R Factor Structure in Alzheimer's Disease Patients: A Comparison of Alternative Models and an Assessment of Their Generalizability.

The WAIS-R is often used in neuropsychological evaluations of individuals with probable Alzheimer's disease (AD), but its factor structure in this population is unknown. Moreover, theories and past research findings make competing predictions concerning its structure. Using confirmatory factor analysis, the authors compared 5 alternative WAIS-R factor models among 516 AD patients: 1-factor (Spearman's g) and 2-factor (Verbal IQ and Performance IQ) models; a 3-factor model including Verbal Comprehension (VC), Perceptual Organization (PO), and Freedom From Distractibility (FD) factors; a 3-factor model in which Digit Symbol loads on PO rather than FD; and a 3-factor model in which Digit Symbol loads on both PO and FD. Results favored the 3-factor model in which Digit Symbol loads on PO rather than FD. Moreover, this model fit the data best among subsamples of patients defined by age, dementia severity, years of education, and gender. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Alternative Factor Models and Factorial Invariance of the GHQ-12: A Large Sample Analysis Using Confirmatory Factor Analysis.

This study tested alternative factor models of the General Health Questionnaire-12 (GHQ-12), based on previous research findings, with a large sample using confirmatory factor analysis. An alternative models framework was used to test 6 factor analytic models. A 3-factor model was the best explanation of the sample data. The 3 factors were labeled Anxiety-Depression, Social Dysfunction, and Loss of Confidence. The model was found to be factorially invariant between men and women. The utility of the 3 subscales, as opposed to the total GHQ-12 score, is questioned as they appear to provide little information beyond that of a general factor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Group Climate, Cohesion, Alliance, and Empathy in Group Psychotherapy: Multilevel Structural Equation Models.

This study examined the definitional and statistical overlap among 4 key group therapeutic relationship constructs--group climate, cohesion, alliance, and empathy--across member-member, member-group, and member-leader relationships. Three multilevel structural equation models were tested using self-report measures completed by 662 participants from 111 counseling center and personal growth groups. As hypothesized, almost all measures of therapeutic relationship were significantly correlated. Hypothesized 1-factor, 2-factor (Working and Bonding factors), and 3-factor (Member, Leader, and Group factors) models did not fit the data adequately. An exploratory model with Bonding, Working, and Negative factors provided the best fit to the data. Group members distinguished among relationships primarily according to relationship quality rather than the status or role of others (i.e., leader, member, or whole group). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The structure of childhood disruptive behaviors.

Attention-deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) frequently co-occur. Comorbidity of these 2 childhood disruptive behavior domains has not been satisfactorily explained at either a structural or etiological level. The current study evaluated a bifactor model, which allows for a “g” factor in addition to distinct component factors, in relation to other models to improve understanding of the structural relationship between ADHD and ODD. Participants were 548 children (321 boys, 227 girls) between the ages of 6 years and 18 years who participated in a comprehensive diagnostic assessment incorporating parent and teacher ratings of symptoms. Of these 548 children, 153 children were diagnosed with ADHD (without ODD), 114 children were diagnosed with ADHD + ODD, 26 children were diagnosed with ODD (without ADHD), and 239 children were classified as non-ADHD/ODD comparison children (including subthreshold cases). ADHD symptoms were assessed via parent report on a diagnostic interview and via parent and teacher report on the ADHD Rating Scale. ODD symptoms were assessed via teacher report. A bifactor model of disruptive behavior, comprising a “g” factor and the specific factors of ADHD and ODD, exhibited best fit, compared to 1-factor, 2-factor, 3-factor, and 2nd-order factor models of disruptive behaviors. It is concluded that a bifactor model of childhood disruptive behaviors is superior to existing models and may help explain common patterns of comorbidity between ADHD and ODD. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Factor structure of the Hare Psychopathy Checklist: Youth Version (PCL: YV) in incarcerated adolescents.

Two studies are reported on the underlying dimensions of the psychopathy construct in adolescents as measured by the Hare Psychopathy Checklist-Youth Version (PCL: YV; Forth, Kosson, & Hare, 2003). In Study 1, the PCL: YV item ratings for 505 male adolescents incarcerated in 5 different settings in North America were used to test the fit of 3 models that have been hypothesized to represent the structure of psychopathy in adults. A 4th model based on parceling PCL: YV items was also tested. In Study 2, these models were tested with a sample of 233 male adolescents incarcerated in 2 facilities in the United Kingdom. Model fit results indicated that the 18-item 4-factor model developed by Hare (2003) and a modified version of a 13-item 3-factor model developed by Cooke and Michie (2001) were associated with generally good fit. Because the 4-factor model is a less saturated model than the 3-factor model (better parameter to data point ratio), it survived a riskier test of disconfirmation. Implications for the nature of psychopathy in youth are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

An empirical investigation of the factor structure of the AUDIT.

This study investigated the Alcohol Use Disorders Identification Test's (AUDIT) factor structure and psychometric properties. The factor structure was derived from a sample of 7,035 men and women primary care patients. A principal components analysis identified 2 factors in the AUDIT data and was supported in a confirmatory factor analysis (CFA). The 2 factors were Dependence/Consequences and Alcohol Consumption. The CFA also provided support for a 3-factor model whose factors (Alcohol Consumption, Alcohol Dependence, and Related Consequences) matched those proposed by the AUDIT'S developers. Psychometric indexes were determined by use of the baseline and 12-month follow-up data of 301 men and women who entered a clinical trial. The results showed that the 2 factors had good reliability. Validity tests supported the interpretation of what the 2 factors measure, its implications for relationships to other variables, and the comparability of the 2- and 3-factor models. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Testing a Four-Factor Model of Psychopathy and Its Association With Ethnicity, Gender, Intelligence, and Violence.

Although a 2-factor model has advanced research on the psychopathy construct, a 3-factor model was recently developed that emphasized pathological personality and eliminated antisocial behavior. However, dropping antisocial behavior from the psychopathy construct may not be advantageous. Using a large sample of psychiatric patients from the MacArthur Risk Assessment Study (J. Monahan & H. J. Steadman, 1994), the authors used confirmatory factor analysis to test a 4-factor model of psychopathy, which included interpersonal, affective, and behavioral impulsivity dimensions and an antisocial behavior dimension. Model fit was good for this 4-factor model, even when ethnicity, gender, and intelligence variables were included in the model. Structural equation modeling was used to compare the 3- and 4-factor models in predicting proximal (violence) and distal (intelligence) correlates of psychopathy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Structure of the Weinberger Adjustment Inventory Self-Restraint Scale and its relation to problem behaviors in adolescence.

The authors examined the structure of the Weinberger Adjustment Inventory (WAI) Self-Restraint scale in derivation (n?=?1,286) and cross-validation (n?=?1,154) samples of mostly African American 6th-graders in 3 urban schools. Four models were compared: (1) a 1-factor model; (2) a hierarchical model in which factors representing Impulse Control, Suppression of Aggression, Responsibility, and Consideration of Others were subsumed by a higher order factor; (3) a model that represented these 4 factors as correlated but distinct constructs; and (4) a model that excluded Consideration of Others from the higher order factor. Consistent support was found for the last model based on confirmatory factor analyses and latent-variable analyses examining the relations among self-restraint scales, drug use, delinquency, and aggression. These findings have implications for using the WAI, particularly in studies of adolescent problem behaviors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor analysis of the WISC–III with child psychiatric inpatients.

One-, 2, 3, and 4-factor models of the Wechsler Intelligence Scale for Children—Third Edition (WISC–III; D. Wechsler, 1991) were tested using confirmatory factor analysis. These analyses were conducted on a sample of 177 child psychiatric inpatients (age range?=?6–12 years). The 4-factor model proposed in the WISC–III manual provided the best fit to the data and was statistically superior to all the other models. Divergent correlations between the WISC–III index scores and Reading, Mathematics, Written Language, and Knowledge achievement scores provided preliminary evidence for criterion-related validity of the 4 factors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Comparison of factor structure models for the Beck Depression Inventory--II.

Factor analyses of the Beck Depression Inventory--II (A. T. Beck, R. A. Steer, & G. K. Brown, 1996) have frequently produced 2 different 2-factor oblique structures. The author used confirmatory factor analyses to compare these structures with a general-factor model with 2 orthogonal group factors. The general-factor model fit as well as or better than the 2-factor models when applied to item data from previous studies (3 clinical and 2 college samples). Communalities associated with the General Depression factor ranged from 71% to 82%. Cognitive and Somatic group factors were indicative of intropunitiveness and fatigue. It was concluded that the general-factor model gives an acceptable empirical explanation of item covariance structure and offers a conceptual interpretation that is well suited to clinical practice and research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

If it changes, it might be unstable: Examining the factor structure of the Ways of Coping Questionnaire.

The Ways of Coping Questionnaire (WCQ) is the most widely used measure of basic coping responses. In Study 1, 6 different theoretical models corresponding to the various dimensions of coping as assessed by the WCQ were tested for goodness of fit using confirmatory factor analysis. 530 college students completed the WCQ before a midterm exam, and their responses were the basis of the analysis. None of the coping models were good representations of the data. Study 2 aimed to derive a replicable set of coping dimensions using a series of exploratory factor analyses with the data collected in Study 1. A 4-factor model was derived and subsequently tested for its goodness of fit with another sample of 392 college students who were also preparing for a midterm exam. This 4-factor model also proved to be a poor representation of the data. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Aging and symptoms of anxiety and depression: Structural invariance of the tripartite model.

Negative affect measures were evaluated in a cross-sectional community sample of adults aged 18-93 (N = 335) to examine the structure of neuroticism, anxiety, and depressive symptoms in young, middle, and older adult cohorts. Structural equation modeling was used to contrast 3 nested models: a 1-factor general distress model; a 2-factor high negative-low positive affect model; and a 3-factor "tripartite model" reflecting a higher order Negative Affect factor that is common to depression and anxiety problems and 2 lower order factors, Low Positive Affect (mostly specific to depression) and Arousal (specific to anxiety/panic). As expected, the tripartite model fit best for all age groups. Further, multigroup analyses indicated age invariance for the tripartite model, suggesting the model can be effectively applied with older populations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirmatory factor analyses of posttraumatic stress symptoms in deployed and nondeployed veterans of the Gulf War.

Confirmatory factor analysis was used to compare 6 models of posttraumatic stress disorder (PTSD) symptoms, ranging from 1 to 4 factors, in a sample of 3,695 deployed Gulf War veterans (N = 1,896) and nondeployed controls (N = 1,799). The 4 correlated factors-intrusions, avoidance, hyperarousal, and dysphoria-provided the best fit. The dysphoria factor combined traditional markers of numbing and hyperarousal. Model superiority was cross-validated in multiple subsamples, including a subset of deployed participants who were exposed to traumatic combat stressors. Moreover, convergent and discriminant validity correlations suggested that intrusions may be relatively specific to PTSD, whereas dysphoria may represent a nonspecific component of many disorders. Results are discussed in the context of hierarchical models of anxiety and depression. (PsycINFO Database Record (c) 2010 APA, all rights reserved)