A reexamination of the factor structure of the Center for Epidemiologic Studies Depression Scale: Is a one-factor model plausible?

The Center for Epidemiologic Studies Depression Scale (CES–D) is one of the most widely used measures of depressive symptoms in research today. The original psychometric work in support of the CES–D (Radloff, 1977) described a 4-factor model underlying the 20 items on the scale. Despite a long history of evidence supporting this structure, researchers routinely report single-number summaries from the CES–D. The research described in this article examines the plausibility of 1-factor model using an initial sample of 595 subjects and a cross-validation sample of 661. After comparing a series of models found in the literature or suggested by analyses, we determined that the good fit of the 4-factor model is mostly due to its ability to model excess covariance associated with the 4 reverse-scored items. A 2-factor model that included a general depression factor and a positive wording method factor loading only on those 4 items had fit that was nearly as good as the original 4-factor model. We conclude that although a 1-factor model may not be the best model for the full 20-item CES–D, it is at least plausible. If a unidimensional set of items is required (e.g., for a unidimensional item response theory analysis), by dropping 5 items, we were able to find a 1-factor model that had very similar fit to the 4-factor model with the original 20 items. (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)     

On the existence of discrete classes in personality: Is self-monitoring the correct joint to carve?

Two studies evaluate Gangestad and Snyder's (1985) self-monitoring typology. In Study 1, a variety of results (e.g., external relations, factor structures, internal reliabilities) imply that continuously distributed scores perform better than a typological measure of self-monitoring. In Study 2, confirmatory factor analyses of the Self-Monitoring Scale were performed. Gangestad and Snyder's 1-factor model does no fit the data for either of 2 item sets, and although Briggs and Cheek's (1988) 2-factor model fits the data quite well, it is outperformed by the 3-factor model of Briggs, Cheek, and Buss (1980). These results imply that a binary typology is not possible. Studies 1 and 2 together suggest that maintaining a nontypological conception of self-monitoring is desirable. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

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)     

A psychometric evaluation of the Beck Depression Inventory–II.

This article provides psychometric information on the second edition of the Beck Depression Inventory (BDI–II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996), with respect to internal consistency, factorial validity, and gender differences. Both measures demonstrated high internal reliability in the full student sample. Significant differences between the mean BDI and BDI-II scores necessitated the development of new cutoffs for analogue research on the BDI–II. Results from exploratory and confirmatory factor analyses indicated that a 2-factor solution optimally summarized the data for both versions of the inventory and accounted for a cumulative 41% and 46% of the common variance in BDI and BDI–II responses, respectively. These factor solutions were reliably cross-validated, although the importance of each factor varied by gender. The authors conclude that the BDI–II is a stronger instrument than the BDI in terms of its factor structure. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Common and specific dimensions of self-reported anxiety and depression: Implications for the cognitive and tripartite models.

The common and specific symptom dimensions of anxiety and depression proposed by the tripartite (L. A. Clark and D. Watson, see record 1991-32000-001) and cognitive (A. T. Beck, 1976; see also PA, Vol 74:33248) models were investigated in 844 psychiatric outpatients and 420 undergraduates. Principal-factor analyses with oblique rotations performed on the 42 items of the Beck Depression Inventory and Beck Anxiety Inventory for both samples revealed that there were 2 correlated factors, Depression and Anxiety. Second-order factor analyses of the interfactor correlation matrices indicated a large general distress or negative affect factor underlying the relationship between the 2 first-order factors. Specific depression and anxiety dimensions were apparent even after controlling for negative affect. The results were consistent with both the tripartite and cognitive models, with the cognitive and motivational symptoms specific to depression and the physiological arousal symptoms unique to anxiety. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Measurement properties of the Center for Epidemiological Studies Depression Scale (CES-D) in older populations.

Two cross-sectional samples of adults were administered the 20-item Center for Epidemiological Studies-Depression Scale (CES-D). Confirmatory item factor analysis showed that L. S. Radloff's (see record 1979-10129-001) four factor model fit the data well, but that the four factors were highly intercorrelated. A simultaneous second-order factor model fitting a single second-order Depression factor also fit well. Multiple group analyses of the first-order solution yielded invariant unstandardized item factor loadings across samples and age groups. A Cohort (Age)?×?Sex ANOVA on the total and subscale scores revealed lower total CES-D and subscale (Well-Being and Depressive Affect) scores for older persons. The Somatic subscale showed no significant age differences. The results support the measurement validity of the CES-D for depression screening in older adult populations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Assessment of the Hypochondriasis Domain: The Multidimensional Inventory of Hypochondriacal Traits (MIHT).

Although hypochondriasis is associated with the costly use of unnecessary medical resources, this mental health problem remains largely neglected. A lack of clear conceptual models and valid measures has impeded accurate assessment and hindered progress. The Multidimensional Inventory of Hypochondriacal Traits (MIHT) addresses these deficiencies with scales that correspond to a 4-factor model. The MIHT was built with construct validity as a guiding principle and began with an item pool that broadly assessed dimensions identified in the literature. The items were administered to large samples; factor analyses of the responses led to item pool revisions and scale refinements. Multiple studies validated the final MIHT scales and 4-factor model; these findings suggest that the MIHT will contribute to theory and research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Measuring motivations for intercollegiate athlete alcohol use: A confirmatory factor analysis of the Drinking Motives Measure.

This study examined the psychometric properties of the Drinking Motives Measure (DMM) on a sample of 227 collegiate athletes. Confirmatory factor analyses indicated that the 4-factor structure of the DMM provided a better fit than either 2- or 1-factor models, but the overall fit of the 4-factor model was moderate at best. A revised 3-factor model consistent with prior research (M. L. Cooper, M. Russell, J. B. Skinner, & M. Windle, 1992) provided the best fit. Hierarchical multiple regression analyses indicated that the 3 DMM factors included in the revised model accounted for 17%-21% of the unique variance on alcohol consumption variables. Results provide preliminary evidence supporting the internal consistency, construct validity, and convergent validity of the revised 3-factor DMM with collegiate athletes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

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

Changes in laryngeal muscle activities during hypercapnia in the cat

This article reports two studies aimed at validating the 25-item self-report McGreal and Joseph (1993) Depression-Happiness Scale (D-H S). In the first study, principal component data are reported on the D-H S with 194 respondents. A forced 1-factor solution confirmed the unidimensionality of the scale (item loadings ranged from .38 to .77) and thus the feasibility of a statistically bipolar measure. In the second study, data on the convergent validity of the D-H S with the Beck Depression Inventory (r=-.75) and the Oxford Happiness Inventory (r=.59) with 100 respondents are reported confirming the construct validity of the scale. Implications for research in social and clinical psychology are discussed along with the possible uses of the D-H S in a clinical setting.     

The Beck Anxiety Inventory: A psychometric analysis.

Provides information on the Beck Anxiety Inventory (BAI) with respect to psychometric properties, gender differences, and relation to depression. A sample of 291 psychiatric patients (mean age 36.9 yrs) completed the BAI, and a subsample of 251 completed the Beck Depression Inventory (BDI). The results from factor analyses demonstrated that the BAI has 2 factors, corresponding to cognitive and somatic symptoms. Although men and women did not differ in terms of factor structures, they did differ on mean levels of cognitive and somatic symptom scores and on total BAI scores. Finally, it was found that BAI items were distinguishable from BDI items, suggesting that the symptoms measured in the 2 scales are not entirely overlapping. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factor structure of the CES-D and measurement invariance across gender for low-income Puerto Ricans in a probability sample.

Objective: The authors of this study aimed to evaluate 2-factor structures for the Center for Epidemiologic Studies Depression Scale (CES-D) reported in the literature to determine which one proves to be a better fit with the data on low-income Puerto Ricans living on the island. Method: The sample consisted of 3,504 civilian noninstitutionalized Puerto Ricans, ranging in age from 18 to 64 who were living in low-income areas of Puerto Rico. A confirmatory factor analysis (CFA) was implemented, and model fit was assessed with the Tucker–Lewis Index (TLI), the comparative fit index (CFI), and the root-mean-square error of approximation (RMSEA). Results: The CFA results obtained for the Radloff (1977) and Guarnaccia, Angel, and Worobey (1989) models show that neither model obtained adequate fit indexes. Exploratory factor analysis revealed that the 2-factor structure not only obtained better fit indexes (TLI = .948, CFI = .955, RMSEA = .048) but also reflected a better conceptual organization of the factors (basically divided into 2 components: Negative Affect and Positive Affect). When we assessed the model fit by gender, the model consistently fit the data for the female subsample but not for the male one. Conclusions: Results confirm the need to address the issues related to measurement equivalence for specific cultural and language gaps in assessment of depressive symptoms. Lack of factor invariance across gender also raises the question of the appropriateness of this measure for the male subsample and the need for further research in the manifestation of depression in this group. (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)     

The four-factor model of depressive symptoms in dementia caregivers: A structural equation model of ethnic differences.

Previous studies have suggested that 4 latent constructs (depressed affect, well-being, interpersonal problems, somatic symptoms) underlie the item responses on the Center for Epidemiological Studies Depression (CES-D) Scale. This instrument has been widely used in dementia caregiving research, but the fit of this multifactor model and the explanatory contributions of multifactor models have not been sufficiently examined for caregiving samples. The authors subjected CES-D data (N = 1,183) from the initial Resources for Enhancing Alzheimer's Caregiver Health Study to confirmatory factor analysis methods and found that the 4-factor model provided excellent fit to the observed data. Invariance analyses suggested only minimal item-loading differences across race subgroups and supported the validity of race comparisons on the latent factors. Significant race differences were found on 3 of the 4 latent factors both before and after controlling for demographic covariates. African Americans reported less depressed affect and better well-being than White caregivers, who reported better well-being and fewer interpersonal problems than Hispanic caregivers. These findings clarify and extend previous studies of race differences in depression among diverse samples of dementia caregivers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Depression and general psychopathology in university students.

Examined the relationship between self-reported depression and a number of self-report measures of other forms of maladaptive functioning in a subclinical population. Seven questionnaires, including the Beck Depression Inventory (BDI) and the State-Trait Anxiety Inventory—Form Y, completed by 443 undergraduates yielded 17 different pathology scales. All of the scales were significantly intercorrelated. Furthermore, a factor analysis yielded a 2-factor solution with the 1st factor, composed of all but 3 scales, accounting for 50% of the total variance. Chi-square analyses revealed that only 5–20% of the Ss were cross classified as high on one measure and low on another. Results are discussed with reference to the ability of self-report measures to differentiate discrete forms of psychopathology in both subclinical and psychiatric populations. It is concluded that caution is needed in extrapolating findings from studies with students scoring high on the BDI. (85 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development and validation of the Smoking Expectancy Scale for Adolescents.

This study assessed the factor structure, internal consistency, and concurrent validity of the Smoking Expectancies Scale for Adolescents (SESA) using 717 Australian adolescents (87% nonsmokers, 11% current smokers, and 2% ex-smokers). Exploratory factor analysis of SESA yielded 8 factors. Confirmatory factor analysis indicated that the 8-factor model, and also a 2nd-order cost-benefit model, fit the data significantly better than 4 alternatives. Validation analyses revealed the 8-factor model explained 26% to 32% of the variance in adolescent cigarette use, smoking intentions, smoking subjective norms, and peer smoking. The 2nd-order model explained 12% to 17% of the variance in these same variables. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Exploring the structure of a neuropsychological battery across healthy elders and those with questionable dementia and Alzheimer's disease.

An exploratory factor analysis (EFA) and a series of confirmatory factor analyses were conducted on 17 variables designed to assess different cognitive abilities in a sample of healthy older adults. In the EFA, 4 factors emerged corresponding to language, memory, processing speed, and fluid ability constructs. The results of the confirmatory factor analyses suggested that a 5-factor model with an additional Attention factor improved the fit. The invariance of the 5-factor model was examined across 3 groups: a group of cognitively healthy older adults, a group of patients diagnosed with questionable dementia (QD), and a group of patients diagnosed with probable Alzheimer's disease (AD). Results of the invariance analysis suggest that the model may have configural invariance across the 3 groups but not metric invariance. Specifically, preliminary analyses suggest that the memory construct may represent something different in the QD and AD groups as compared to the healthy older adult group, consistent with the underlying pathology in early AD. (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)