Factor models of the Beck Depression Inventory-II. Validation with coronary patients and a critique of Ward's model

The objective of this study was to validate in a sample of 205 coronary patients a factor model for the BDI-II, especially a model that would allow for modeling of depressive symptoms after explicitly removing bias related to somatic symptoms of depression that would overlap those of heart disease. Exploratory and confirmatory factor analyses for ordinal data were conducted. A one-factor model, six correlated two-factor models and, derivatives thereof, seven models with a single General Depression factor and two uncorrelated factors, were analyzed. Exploratory analysis extracted two factors, Somatic-affective and Cognitive. Confirmatory factor analyses showed the worst fit for the one-factor model. Two-factor models were surpassed in goodness of fit by the models of general-factor and group factors. Among these, the General, Somatic-affective and Cognitive (G-Sa-C) model of Beck with students is noteworthy. The reduced General, Somatic and Cognitive (G-S-C) model of Ward showed the worst goodness of fit. Our model surpasses the cutoff criteria of all fit indexes. We conclude that the inclusion of a general-factor and group factors in all the models surpasses the results of G-S-C model and, therefore, questions it. The G-Sa-C model is strengthened.     

Confirmatory Factor Analyses of the Anxiety and Depression Content Scales of the MMPI-2

A sample of 408 patients with substance use disorders was equally divided into derivation and cross-validation samples. All patients had taken the MMPI-2. Exploratory factor analyses of MMPI-2 item data in the derivation sample permitted construction of latent variable measurement models for the Anxiety (ANX) and Depression (DEP) content scales. The 2-factor model for ANX consisted of Trait Anxiety and Worry, and the 3-factor model for DEP contained factors of Trait Depression. Hopelessness, and Self-Depreciation. Confirmatory factor analyses in cross-validation demonstrated a good fit for both models and for their combination in a 5-factor measurement model. Latent variable correlations in the 5-factor model helped explain the high correlation and low discriminant validity of ANX and DEP.     

The Depression Anxiety Stress Scale-21: Spanish Translation and Validation with a Hispanic Sample

The English-language version of the Depression Anxiety Stress Scale-21 (DASS-21) was professionally translated into Spanish and field-tested among 98 bilingual Hispanic adults. Participants who were diagnosed with an anxiety disorder on the Anxiety Disorders Interview Schedule-IV completed the DASS-21, the Beck Depression Inventory-II, and the Beck Anxiety Inventory. Results indicated strong indices of internal consistency and expected patterns of discriminant, convergent, and structural validity. A confirmatory factor analysis compared a model fit of a first order 1-factor model, a first order 3-factor model, and a second order factor model. The latter 2 models were significantly better than the 1-factor model. Psychometric data were comparable to those of an English version. Clinicians and researchers in need of a brief, Spanish-language, screening measure of general psychopathology may want to consider this newly translated DASS-21.     

Factor Structure of the Beck Depression Inventory—II in a Medical Outpatient Sample

This study examined the factor structure of the Beck Depression Inventory—II (BDI-II) in a sample of 127 individuals referred by their primary care physicians. Using exploratory factor analysis with oblique rotation, a 2-factor model appeared to be the most parsimonious representation of the data. The rotated factors accounted for approximately 53% of the variance. Consistent with previous research, the first factor was interpreted as a somatic–affective dimension and the second factor reflected a cognitive dimension. The correlation between these 2 factors was .79. It appears possible to divide the BDI-II into subscales to facilitate interpretation in medical patients.     

Dimensionality of the Beck Anxiety Inventory in a Polytrauma Sample of OEF/OIF/OND Veterans: Findings From Exploratory and Confirmatory Factor Analysis

The Beck Anxiety Inventory (BAI) is commonly used as a screening instrument for symptoms of anxiety in clinical settings. The factor structure has been researched in a variety of different clinical settings with results ranging from a 2- to 5-factor structure. The purpose of this study was to explore the factor structure of this instrument in a polytrauma veteran sample. A sample of 304 veterans was used for this study. All subjects were administered the BAI screening measure as part of an evaluation in an outpatient polytrauma clinic. Exploratory factor analysis was conducted for half of the sample, followed by confirmatory factor analysis for the remaining sample to determine the best model. Factor analyses revealed that a 5-factor model provided a best fit. It is interesting to note that previously identified models of the BAI with other types of samples did not provide the best fit for this polytrauma sample. The BAI may provide additional information for clinicians when examining the 5-factor model with veterans in polytrauma settings. The factor structure of the BAI includes 1 factor (i.e., personal safety) that may be unique for veterans who have served in combat zones.     

Characteristics factor structures of the Japanese version of the State-Trait Anxiety Inventory: coexistence of positive-negative and state-trait factor structures

Previous factor studies of the State-Trait Anxiety Inventory (STAI; Spielberger, Gorsuch, & Lushene, 1970) have reported certain typical factors that are state-trait (S-T) 2-factor solutions and positively-negatively (P-N) worded item 2-factor solutions in addition to 4-factor solutions (positively and negatively worded state factors, positively and negatively worded trait factors). We explored the possibility that these factor structures are included in a factor space. Responses to the Japanese version of the STAI in a sample of 848 male workers were factor analyzed. The first-order factors obtained from principal-component analysis were almost equal to the previous 4 factors, except for a minor factor, and their second-order factors were the P-N factors. However, the S-T factors were also obtained from the same first-order factors by the oblique Procrustes rotation. Moreover, coexistence of these two 2-factor structures was determined in the same factor space by the orthogonal Procrustes rotation.     

The Hopelessness Scale: a factor analysis

A confirmatory factor analysis of the Beck Hopelessness Scale in a sample of 340 Italian students did not support the 3-factor model reported for previous samples of psychiatric patients. A follow-up principal axis factor analysis yielded two interpretable correlated factors, suggesting that the structure of the scale may differ across clinical and nonclinical groups and as a function of nationality.     

Measurement of Depressive Symptoms in Women With Breast Cancer and Women With Clinical Depression: A Differential Item Functioning Analysis

Differential item functioning (DIF) analyses of the Beck Depression Inventory-II (BDI-II) were conducted on samples of 267 women with breast cancer and 294 women with clinical depression. Patterns of items in which there was significant and nonsignificant DIF were identified using statistical tests and measures of DIF effect size. At the most general level, 15 of 21 BDI-II items were associated with nontrivial DIF suggesting that the item responses of these samples do not reflect the same underlying construct. Factor analyses of the BDI-II using a psychometrically defensible method for item level factor analysis supported the conclusions from the DIF analyses. These findings suggest that researchers and practitioners should apply caution when interpreting self-report depression symptoms in breast cancer patients.     

Depression Anxiety Stress Scales: Factor structure and differential item functioning across women and men

This study examined the factor structure, and differential item functioning of the Depression Anxiety Stress Scales (DASS; Lovibond & Lovibond, 1995) across sex. The DASS was completed by 201 women and 165 men from the general community. Confirmatory factor analysis (CFA) indicated support for the original 3-factor oblique model (factors for depression, anxiety and stress). There was however more support for a bifactor model, with four orthogonal factors: a general factor on which all the depression, anxiety and stress items load, and specific independent factors for depression, anxiety and stress items. None of the DASS items showed DIF. The practical, theoretical, research and clinical implications of the findings are discussed.     

Characteristic Factor Structures of the Japanese Version of the State-Trait Anxiety Inventory: Coexistence of Positive-Negative and State-Trait Factor Structures

Previous factor studies of the State-Trait Anxiety Inventory (STAI; Spielberger, Gorsuch, & Lushene, 1970) have reported certain typical factors that are state-trait (S-T) 2-factor solutions and positively-negatively (P-N) worded item 2-factor solutions in addition to 4-factor solutions (positively and negatively worded state factors, positively and negatively worded trait factors). We explored the possibility that these factor structures are included in a factor space. Responses to the Japanese version of the STAI in a sample of 848 male workers were factor analyzed. The first-order factors obtained from principal-component analysis were almost equal to the previous 4 factors, except for a minor factor, and their second-order factors were the P-N factors. However, the S-T factors were also obtained from the same first-order factors by the oblique Procrustes rotation. Moreover, coexistence of these two 2-factor structures was determined in the same factor space by the orthogonal Procrustes rotation.     

Examining the Factor Structure of the Self-Compassion Scale in Four Distinct Populations: Is the Use of a Total Scale Score Justified?

This study examined the factor structure of the Self-Compassion Scale (SCS) using a bifactor model, a higher order model, a 6-factor correlated model, a 2-factor correlated model, and a 1-factor model in 4 distinct populations: college undergraduates (N = 222), community adults (N = 1,394), individuals practicing Buddhist meditation (N = 215), and a clinical sample of individuals with a history of recurrent depression (N = 390). The 6-factor correlated model demonstrated the best fit across samples, whereas the 1- and 2-factor models had poor fit. The higher order model also showed relatively poor fit across samples, suggesting it is not representative of the relationship between subscale factors and a general self-compassion factor. The bifactor model, however, had acceptable fit in the student, community, and meditator samples. Although fit was suboptimal in the clinical sample, results suggested an overall self-compassion factor could still be interpreted with some confidence. Moreover, estimates suggested a general self-compassion factor accounted for at least 90% of the reliable variance in SCS scores across samples, and item factor loadings and intercepts were equivalent across samples. Results suggest that a total SCS score can be used as an overall mesure of self-compassion.     

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Abstract

Confirmatory factor analyses (CFAs) were employed to test the factorial validity and structure of the Proactive Coping Inventory (PCI; Greenglass, Schwarzer, Jakubiec, Fiksenbaum, &; Taubert, 1999) in a large multiethnic sample (n=709). CFAs conducted on each individual scale of the PCI supported congeneric measurement. However, when the scales of the PCI were tested simultaneously in a model, a 3-factor model representing Logical Analysis/Problem Solving, Social Support, and Avoidance fit as well as both a 5- and the original 7-factor model. Moreover, strong redundancy among factors of both the 5- and 7-factor models suggested that these models did not represent the PCI well. In addition, multigroup analyses revealed that the parameters (e.g., factor loadings, item intercepts) of the 3-factor model were largely invariant across gender and ethnic groups. Discussion focuses on the interpretability of the 3-factor model of the PCI, and particularly in relation to traditional measures of reactive coping.     

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.     

The factor structure of the Personality Assessment Inventory-Borderline Features (PAI-BOR) Scale in a nonclinical sample.

We evaluated the fit of Morey's (1991) proposed 4-factor structure on Personality Assessment Inventory-Borderline Features Scale (PAI-BOR; Morey, 1991) items in a sample of approximately 5,000 nonclinical participants. The proposed model did not fit the data well. Results from a series of exploratory and confirmatory factor analyses suggested that a 6-factor model provided the best fit to the PAI-BOR item covariances.     

Model stability of the 15-item Geriatric Depression Scale across cognitive impairment and severe depression

The 15-item Geriatric Depression Scale (GDS) is used in a wide variety of clinical and research settings. The study's purpose was to further establish the validity of the 15-item GDS by exploring the underlying factor structure in a healthy, nondemented sample of older adults and then analyzing whether this factor structure remained stable across a sample of demented individuals and a sample of individuals with a history of depression 6 months after discharge from an inpatient psychiatric setting. A 2-factor model fit the data best in the exploratory analyses. The 2 factors, Life Satisfaction and General Depressive Affect, found in the nondemented sample (r = .39) remained stable across cognitive impairment (r = .12) but merged into a 1-factor model in the psychiatric sample (r = .93). The results indicate that nondepressed older adults with poor life satisfaction may be identified as depressed on screening instruments such as the 15-item GDS.     

Psychometric properties of the Spanish Beck Depression Inventory-II in a medical sample

The authors examined the psychometric properties of the Spanish Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) in a sample of individuals undergoing hemodialysis. They performed a confirmatory factor analysis of a previously reported 2-factor solution for the English BDI-II derived from a medical sample. Results indicate that the established model for the English-speaking medical sample provided adequate fit in the present sample. Spanish BDI-II scores were not significantly associated with age or gender in their sample, but they were significantly associated with disease severity. Bilingual participants completed the inventory in both Spanish and English, and their data revealed that BDI-II total scores were similar across language administration. The preliminary data suggest that the Spanish BDI-II can be reliably used in medical samples.     

The Perceived Stress Scale: Factor structure and relation to depression symptoms in a psychiatric sample

The present study sought to examine the factor structure and psychometric properties of the Perceived Stress Scale (PSS) when administered to psychiatric patients. We also examined predictive validity of the PSS by assessing the association between the Perceived Stress Scale and the Beck Depression Inventory. A heterogeneous sample of 96 psychiatric patients (48 men, 48 women) completed the Perceived Stress Scale (PSS) and the Beck Depression Inventory. Factor analysis of the PSS established that the scale consisted of two factors. The first factor was comprised primarily of items reflecting adaptational symptoms. In contrast, the second factor consisted of items reflecting coping ability. Both factors had an adequate degree of internal consistency. Finally, a series of regression analyses predicting depression found that both factors accounted for unique variance in depression scores in women, but only the first factor accounted for unique variance in men. It is concluded that the PSS is a multidimensional and internally consistent measure of perceived stress.This research was supported by Grant 410-91-1690 from the social sciences and Humanities Research Council of Canada as well as by grants from the Research and Program Evaluation Committee Brockville Psychiatric Hospital.     

Factor structure of the basic personality inventory with incarcerated offenders

The item and scale factor structure of the Basic Personality Inventory (BPI) was examined in a sample of 486 offenders incarcerated for violent and sexual crimes. Separate principal-component analyses of the items for each of the 11 clinical scales, critical item scale, and social desirability scale indicated a one-dimensional factor solution for all scales except Depression and Persecutory Ideation. The Depression scale's two factors were Hopelessness and Depressive Affect and the Persecutory Ideation scale's two factors were General Paranoia and Perception of External Control. Although the factors for these two scales may assist in interpretation, the correlations between the factors and the total score of their respective scale were high. Confirmatory factor analysis of the 220 items from the 11 clinical scales supported the factorial logic of the scoring key. Analysis of the 11 clinical scales resulted in two factors: General Psychopathology/Adjustment and Antisocial Orientation. The results suggest that all but two scales can be viewed as unidimensional thereby allowing for a straightforward clinical interpretation. These analyses support the internal structure of the BPI and lend credence to external validity work with forensic populations.     

Assessing sexual harassment among Latinas: development of an instrument

This study draws from multiple data sources and analytic approaches to offer preliminary evidence on how to assess sexual harassment among Latinas working in the United States, particularly working-class Mexican American women with moderately low acculturation. First, focus group data were collected from 45 Latinas to identify culture-specific manifestations of sexually harassing behavior. These data informed the development of new items for the Sexual Experiences Questionnaire (SEQ: L. F. Fitzgerald et al., 1988), making it more appropriate for administration to Latinas with limited education. A 2nd Latina sample (N = 476) then completed this and other scales in a paper-and-pencil survey. Complete-link hierarchical cluster analyses of the SEQ data, based on a random half-sample of these women, revealed an underlying 3-factor structure. Confirmatory factor analyses on the 2nd half-sample confirmed that this factor model fit the data well, and both the individual factors and the larger scale appear highly reliable. Implications of both new and discarded SEQ-Latina items, the 3-factor structure, and relationships among the factors were discussed.     

Self-Report Differentiation of Anxiety and Depression in a Mood Disorders Sample

Several lines of research suggest there is considerable overlap between anxiety and depression and that it is difficult to distinguish between these two constructs. However, a few studies utilizing factor analytic procedures have provided evidence that anxiety and depression can be differentiated when measures of these constructs are considered at the item level. In addition, there is some evidence that differentiation can be accomplished in samples experiencing high levels of anxiety (i.e., a clinically anxious sample; B. J. Cox, R. P. Swinson, L. Kuch, & J. Reichman, 1993). In the present study, this research strategy was extended to a sample of patients with high levels of depressed mood (i.e., a mood disorders sample; N = 378). Their responses to widely used measures of depression (i.e., Beck Depression Inventory; A. T. Beck, C. H. Ward, M. Mendelson, J. Mock, & J. Erbaugh, 1961) and anxiety (i.e., Spielberger State-Trait Anxiety Inventory—State subscale; C. D. Spielberger, R. L. Gorsuch, & R. E. Lushene, 1970) were entered into a principal-components analysis with oblique rotation. A 4-factor solution was retained. This solution was comprised of factors representing anxiety, anxiety absent (a reverse scored factor), cognitive symptoms of depression, and somatic/vegetative symptoms of depression. These findings indicated that anxiety and depression, as emotional states, can be differentiated within a mood disorders sample, using existing popular self-report measures. The clinical and research implications of these findings are briefly discussed.