Confirmatory factor analysis of a measure of intrapersonal empowerment.

Objective: To assess the factorial validity of the Personal Opinions Questionnaire (POQ), a self-report measure of intrapersonal empowerment, and to provide norms for vocational rehabilitation (VR) clients. Study Design: Confirmatory factor analysis was used to evaluate a 4-factor model derived from a previous exploratory factor analysis of the POQ items. Participants: Four hundred seventy-three VR clients (53% female) from 3 district offices of a state rehabilitation agency. Instrument: The POQ (B. Bolton & J. B. Brookings, 1998), which yields 4 subscale scores (Personal Competence, Group Orientation, Self-Determination, and Positive Sense of Identity as a Person With a Disability) and a total empowerment score. Results: The confirmatory factor analysis provided support for the validity of the 4 subscales as measures of separable components of intrapersonal empowerment and for the total score as an overall indicator of empowered status. Conclusions: Those using the POQ should compute the 4 subscale scores and the total score. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Orthogonal higher order structure and confirmatory factor analysis of the French Wechsler Adult Intelligence Scale (WAIS-III).

According to the most widely accepted Cattell–Horn–Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS–III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a Schmid–Leiman orthogonalization transformation (SLT) to the standardization data published in the French technical manual for the WAIS–III. Results showed that the general factor accounted for 63% of the common variance and that the specific contributions of the 1st-order factors were weak (4.7%–15.9%). We also addressed this issue by using confirmatory factor analysis. Results indicated that the bifactor model (with 1st-order group and general factors) better fit the data than did the traditional higher order structure. Models based on the CHC framework were also tested. Results indicated that a higher order CHC model showed a better fit than did the classical 4-factor model; however, the WAIS bifactor structure was the most adequate. We recommend that users do not discount the Full Scale IQ when interpreting the index scores of the WAIS–III because the general factor accounts for the bulk of the common variance in the French WAIS–III. The 4 index scores cannot be considered to reflect only broad ability because they include a strong contribution of the general factor. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

A measure of anxiety symptoms among children

The Spence Children's Anxiety Scale (SCAS) is a child self-report measure designed to evaluate symptoms relating to separation anxiety, social phobia, obsessive-compulsive disorder, panic-agoraphobia, generalized anxiety and fears of physical injury. The results of confirmatory and exploratory factor analyses supported six factors consistent with the hypothesized diagnostic categories. There was support also for a model in which the 1st-order factors loaded significantly on a single 2nd-order factor of anxiety in general. The internal consistency of the total score and subscales was high and 6 month test-retest reliability was acceptable. The SCAS correlated strongly with a frequently used child self-report measure of anxiety. Comparisons between clinically anxious and control children showed significant differences in total SCAS scores, with subscale scores reflecting the type of presenting anxiety disorder of the clinical samples.     

The latent symptom structure of the Beck Depression Inventory–II in outpatients with major depression.

The Beck Depression Inventory–II (BDI–II) is a self-report instrument frequently used in clinical and research settings to assess depression severity. Although investigators have examined the factor structure of the BDI–II, a clear consensus on the best fitting model has not yet emerged, resulting in different recommendations regarding how to best score and interpret BDI–II results. In the current investigation, confirmatory factor analysis was used to evaluate previously identified models of the latent symptom structure of depression as assessed by the BDI–II. In contrast to previous investigations, we utilized a reliably diagnosed, homogenous clinical sample, composed only of patients with major depressive disorder (N = 425)—the population for whom this measure of depression severity was originally designed. Two 3-factor models provided a good fit to the data and were further evaluated by means of factor associations with an external, interviewer-rated measure of depression severity. The results contribute to a growing body of evidence for the Ward (2006) model, including a General (G) depression factor, a Somatic (S) factor, and a Cognitive (C) factor. The results also support the use of the BDI–II total scale score. Research settings may wish to model minor factors to remove variance extraneous to depression where possible. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Structure bidimensionnelle de l'attachement amoureux: Anxiété face à l'abandon et évitement de l'intimité.

K. A. Brennan et al (1998) developed a measure known as the Experiences in Close Relationships (ECR) based on existing adult attachment questionnaires. The present article concerns the French translation of the ECR and proposes 2 validation studies carried out with French Canadian adults (N=329) and couples (N=316). The 1st study consisted of verifying the exploratory and confirmatory factorial validity of the French version of the ECR. The exploratory factor analysis showed that 18 items measure the avoidance dimension and 18 items measure the anxiety dimension. Results of the factorial confirmatory analyses demonstrated the value of a 2-stage model. This model included 8 1st-order attachment components that are related to 2 2nd-order dimensions, namely, avoidance of intimacy and anxiety over abandonment. The 2nd study served to counter-validate the 2nd-order model using a sample of couples. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Reliability and Validity of the Beck Depression Inventory--II With Adolescent Psychiatric Inpatients.

This investigation was conducted to validate the Beck Depression Inventory--II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) in samples of adolescent psychiatric inpatients. The sample in each substudy was primarily Caucasian. In Study 1, expert raters (N=7) and adolescent psychiatric inpatients (N=13) evaluated the BDI-II items to assess content validity. In Study 2, confirmatory factor analyses of several first-order solutions failed to provide adequate fit estimates to data for 205 boys, 203 girls, and the combined sample. Exploratory factor analyses identified new item-factor solutions. Reliability estimates were good (range = .72 to .91) for the BDI-II total and scale scores. In Study 3 (N=161 boys and 158 girls from Study 2), preliminary evidence for estimates of concurrent, convergent, and discriminant validity were established for the BDI-II. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Computing and evaluating factor scores.

A variety of methods for computing factor scores can be found in the psychological literature. These methods grew out of a historic debate regarding the indeterminate nature of the common factor model. Unfortunately, most researchers are unaware of the indeterminacy issue and the problems associated with a number of the factor scoring procedures. This article reviews the history and nature of factor score indeterminacy. Novel computer programs for assessing the degree of indeterminacy in a given analysis, as well as for computing and evaluating different types of factor scores, are then presented and demonstrated using data from the Wechsler Intelligence Scale for Children--Third Edition. It is argued that factor score indeterminacy should be routinely assessed and reported as part of any exploratory factor analysis and that factor scores should be thoroughly evaluated before they are reported or used in subsequent statistical analyses. (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)     

Factor structure of the Hare Psychopathy Checklist: Youth version in German female and male detainees and community adolescents.

Substantial evidence exists for 3- and 4-factor models of psychopathy underlying patterns of covariation among the items of the Psychopathy Checklist—Revised (PCL–R) in diverse adult samples. Although initial studies conducted with the Psychopathy Checklist: Youth Version (PCL:YV) indicated reasonable fit for these models in incarcerated male adolescents in the United States and the United Kingdom, only one published study has addressed the factor structure of PCL:YV psychopathy in female adolescents, and no prior studies have addressed it outside of these countries. We used confirmatory factor analysis to investigate the factor structure underlying PCL:YV scores in 314 incarcerated (143 male, 171 female) and 193 in-school (99 male, 94 female) adolescents, ages 14 to 19 years. The 2-factor model provided adequate fit only for incarcerated male adolescents and the 4-factor model was problematic in all samples, but the 3-factor solution provided an adequate model in incarcerated and community male adolescents. None of the models provided consistently acceptable fit among female adolescents. Current findings provide evidence for the robustness of the 3-factor model of psychopathy in incarcerated and community male adolescent samples but raise doubts about the applicability of this model to female adolescents. (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)     

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)     

Structure of the Wechsler Intelligence Scale for Children—Fourth Edition among a national sample of referred students.

The structure of the Wechsler Intelligence Scale for Children—Fourth Edition (WISC–IV; D. Wechsler, 2003a) was analyzed via confirmatory factor analysis among a national sample of 355 students referred for psychoeducational evaluation by 93 school psychologists from 35 states. The structure of the WISC–IV core battery was best represented by four first-order factors as per D. Wechsler (2003b), plus a general intelligence factor in a direct hierarchical model. The general factor was the predominate source of variation among WISC–IV subtests, accounting for 48% of the total variance and 75% of the common variance. The largest 1st-order factor, Processing Speed, only accounted for 6.1% total and 9.5% common variance. Given these explanatory contributions, recommendations favoring interpretation of the 1st-order factor scores over the general intelligence score appear to be misguided. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Empirical Validation and Psychometric Evaluation of the Brief Fear of Negative Evaluation Scale in Patients With Social Anxiety Disorder.

The Brief Fear of Negative Evaluation Scale (BFNE; M. R. Leary, 1983a) is often used to assess fear of negative evaluation, the core feature of social anxiety disorder. However, few studies have examined its psychometric properties in large samples of socially anxious patients. Although the BFNE yields a single total score, confirmatory factor analysis indicated a 2-factor solution to be more appropriate, with the 1st factor consisting of all straightforwardly worded items (BFNE-S) and the 2nd of all reverse-scored items (BFNE-R). Support was obtained for the convergent and discriminant validity of the BFNE and BFNE-S, but not the BFNE-R. These results suggest that standard scoring of the BFNE may not be optimal for patients with social anxiety disorder. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The factor structure and factorial invariance of the 12-item General Health Questionnaire (GHQ-12) across time: Evidence from two community-based samples.

This study provides new knowledge about the factor structure of the 12-item General Health Questionnaire (GHQ-12; D. Goldberg, 1972) through the application of confirmatory factor analysis to longitudinal data, thereby enabling investigation of the factor structure, its invariance across time, and the rank-order stability of the factors. Two community-based longitudinal adult samples with 1-year (n = 640) and 6-year (n = 330) follow-up times were studied. As a result, the correlated 3-factor model (i.e., Anxiety/Depression, Social Dysfunction, and Loss of Confidence) showed a better fit with both samples than the alternative models. The correlated 3-factor structure was also relatively invariant across time in both samples, indicating that the scale has good construct validity. The rank-order stabilities of the factors were low across time, which suggests that the GHQ-12 measures temporal mental state. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Latent structure and factorial invariance of a neuropsychological test battery for the study of preclinical Alzheimer's disease.

Objective: To examine the latent structure of a test battery currently being used in a longitudinal study of asymptomatic middle-aged adults with a parental history of Alzheimer's disease (AD) and test the invariance of the factor solution across subgroups defined by selected demographic variables and known genetic risk factors for AD. Method: An exploratory factor analysis (EFA) and a sequence of confirmatory factor analyses (CFA) were conducted on 24 neuropsychological measures selected to provide a comprehensive estimate of cognitive abilities most likely to be affected in preclinical AD. Once the underlying latent model was defined and the structural validity established through model comparisons, a multigroup confirmatory factor analysis model was used to test for factorial invariance across groups. Results: The EFA solution revealed a factor structure consisting of five constructs: verbal ability, visuospatial ability, speed & executive function, working memory, and verbal learning & memory. The CFA models provided support for the hypothesized 5-factor structure. Results indicated factorial invariance of the model across all groups examined. Conclusions: Collectively, the results suggested a relatively strong psychometric basis for using the factor structure in clinical samples that match the characteristics of this cohort. This confirmed an invariant factor structure should prove useful in research aimed to detect the earliest cognitive signature of preclinical AD in similar middle aged cohorts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Preliminary development and validation of a measure of relationship authenticity.

The authors describe the preliminary development and validation of the Authenticity in Relationships Scale. An initial pool of 37 items addressing various elements of the proposed definition of "relationship authenticity" was administered to 2 independent samples of undergraduates (N = 487) who acknowledged being in a current romantic relationship. Exploratory and confirmatory factor analyses revealed that 2 interpretable factors (Unacceptability of Deception, Intimate Risk Taking) effectively represented the data in both samples. Retest data over a 3-month interval were also gathered from a separate independent sample of 121 participants. Subscale scores composed of factor-unique items demonstrated good reliability and test-retest stability, correlated in expected directions with scores on several measures used to establish construct validity, and made unique contributions to the prediction of relationship satisfaction after gender, self-esteem, commitment level, and adult attachment orientations were controlled. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Adenoid cystic carcinomas of the maxillary sinus with intracranial invasion. Review of the literature, apropos of a case

The aims of this study were to analyze and assess dimensions of the Dental Fear Survey (DFS), which has been developed to measure dental fears and phobias. The present study of 313 dental-phobic individuals analyzed the DFS in a factor analysis using an exploratory (EFA) and a confirmatory (CFA) factor analysis to show dimensions and latent variables. The EFA showed a five-factor structure, with dimensions including items characterizing 'Avoidance of dental care', 'Physiologic arousal during dental treatment', 'Anticipatory anxiety while waiting for dental treatment', 'Fear of the injection needle', and 'Fear of the drill'. The total explained variance of the EFA was 63%. Although statistically significant, the CFA model showed a factor structure with 6 latent variables including a general dental fear factor loading on all 20 items together with the aforementioned 5 factors. In spite of the limitation in sample size and the significant test statistic for this 6-factor structure, the model was interpretable in its dimensionality. In conclusion, these factor analyses have shown a different factor structure of the DFS in this sample of dental-phobic individuals as compared with the dimensions reported from previous research in samples representing nonclinical populations.     

The facets of anxiety sensitivity represented in the Childhood Anxiety Sensitivity Index: Confirmatory analyses of factor models from past studies.

Results of past factor analytic studies of the Childhood Anxiety Sensitivity Index and Anxiety Sensitivity Index were used to formulate hypotheses about factor models of anxiety sensitivity. Using a nonclinical sample of 767 children and adolescents and confirmatory factor analysis, hypothesized models with 2, 3, and 4 lower order factors (facets) were tested. Goodness-of-fit criteria indicated that a model with 4 facets fits these data well. Support was found for factorial invariance of the 4 facets across age and gender, using nonclinical and clinical samples. Results support a hierarchical factor model in that there was a strong general factor, explaining 71% of the variance. Findings are discussed in the context of anxiety sensitivity theory and research with children and adolescents. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of the Children’s Perception of Interparental Conflict Scale for studies of youths with externalizing behavior problems.

The assessment of children’s perception of marital conflict is an important area of research related to family relations, children’s cognitions about self, and the development of psychopathology. The leading instrument in this domain is the Children’s Perception of Interparental Conflict Scale (CPIC; J. H. Grych, M. Seid, & F. D. Fincham, 1992). It has 48 items organized into 9 conceptual designed subscales, with reports of 3-factor higher order structure to the 9 subscales. However, the 3-factor solution does not capture all 9 subscales well. Further, items have never been subjected to factor analysis to evaluate the best fitting factor structure at the item level. Doing so is particularly important when bringing the scale into new populations such as children with attention-deficit/hyperactivity disorder (ADHD) or disruptive behavior disorders. In the present study, 2 samples of children (total N = 1,190; ages 6–18 years) completed the CPIC. An exploratory factor analysis in Sample 1 (from a clinical study of ADHD and non-ADHD youths) yielded 4 interpretable factors. A confirmatory factor analysis in Sample 2 (a population sample of twins) confirmed the generalizability of the solution with an acceptable fit, although 1 item was dropped. The final solution used 38 of the 48 items. The 4-factor solution captured a Conflict Properties factor, two appraisal factors labeled Threat to Self and Self-Blame, and a Triangulation/Stability factor that included elements of appraisal and content. The authors concluded that the item-based 4-factor solution to the CPIC is preferable to the 9-factor or 3-factor formulation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

More Information From Fewer Questions: The Factor Structure and Item Properties of the Original and Brief Fear of Negative Evaluation Scale.

Statistical methods designed for categorical data were used to perform confirmatory factor analyses and item response theory (IRT) analyses of the Fear of Negative Evaluation scale (FNE; D. Watson & R. Friend, 1969) and the Brief FNE (BFNE; M. R. Leary, 1983). Results suggested that a 2-factor model fit the data better for both the FNE and the BFNE, although the evidence was less strong for the FNE. The IRT analyses indicated that although both measures had items with good discrimination, the FNE items discriminated only at lower levels of the underlying construct, whereas the BFNE items discriminated across a wider range. Convergent validity analyses indicated that the straightforwardly-worded items on each scale had significantly stronger relationships with theoretically related measures than did the reverse-worded items. On the basis of all analyses, usage of the straightforwardly-worded BFNE factor is recommended for the assessment of fear of negative evaluation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)