Comparison of Internet-based and paper-based questionnaires in Taiwan using multisample invariance approach.

This study examines whether the Internet-based questionnaire is psychometrically equivalent to the paper-based questionnaire. A random sample of 2,400 teachers in Taiwan was divided into experimental and control groups. The experimental group was invited to complete the electronic form of the Chinese version of Center for Epidemiologic Studies Depression Scale (CES-D) placed on the Internet, whereas the control group was invited to complete the paper-based CES-D, which they received by mail. The multisample invariance approach, derived from structural equation modeling (SEM), was applied to analyze the collected data. The analytical results show that the two groups have equivalent factor structures in the CES-D. That is, the items in CES-D function equivalently in the two groups. Then the equality of latent mean test was performed. The latent means of "depressed mood," "positive affect," and "interpersonal problems" in CES-D are not significantly different between these two groups. However, the difference in the "somatic symptoms" latent means between these two groups is statistically significant at alpha = 0.01. But the Cohen's d statistics indicates that such differences in latent means do not apparently lead to a meaningful effect size in practice. Both CES-D questionnaires exhibit equal validity, reliability, and factor structures and exhibit a little difference in latent means. Therefore, the Internet-based questionnaire represents a promising alternative to the paper-based questionnaire.     

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.     

A taxometric study of the Center for Epidemiological Studies Depression Scale

The authors assessed the latent structure of depressive symptoms as measured by the Center for Epidemiological Studies Depression Scale (CES-D; L. S. Radloff, 1977). By using taxometric procedures, the authors conducted analyses of CES-D data obtained from a large college student population. These procedures incorporated strategies for interpreting analyses of skewed indicators and small putative taxa. The authors hypothesized that CES-D total scores would be represented as a dimension, with a taxonic distribution of a factor incorporating somatic symptoms. Results indicated that all CES-D factors, including the factor composed of somatic complaints, were dimensional. Administration of the Diagnostic Interview Schedule-IV (L. N. Robins, L. Marcus, & W. Reich, 1996) to one quarter of the participants indicated that the CES-D was effective in identifying cases of current or recent clinical depression. Evidence of the dimensionality of CES-D indicators in a student population is consistent with a continuity view of depressive symptoms.     

Psychometric adequacy and comparability of the short and full forms of the Personality Assessment Inventory

The 160-item short form of the Personality Assessment Inventory (PAI) was developed for situations in which respondents complete only the 1st half of the test. The present study evaluates the adequacy and comparability of the full and short forms of the PAI in terms of a wide range of psychometric characteristics. In all, 421 participants completed the full form as part of a neuropsychological evaluation. Results indicated slightly lower internal consistency reliability of the short compared with the full form. Group-level agreement of short and full form scales ranged from adequate to excellent. However, within-subject agreement was somewhat more variable. Low levels of within-subject agreement were strongly associated with elevated validity scale scores. The factor structures of the full and short forms showed high congruence for a 3-factor solution. These findings suggest that many scales of the short form have adequate comparability with their respective full form scales. However, low levels of reliability across less impaired ranges of the latent trait, diminished content coverage, and altered validity detection may limit the utility of some of the short form scales.     

The behavioral activation for depression scale-short form: development and validation

Following a landmark component analysis of cognitive therapy by Jacobson and colleagues (1996), there has been renewed interest in behavioral activation (BA) treatments for depression. The Behavioral Activation for Depression Scale (BADS) was developed to measure when and how clients become activated over the course of BA treatment. Multiple studies have provided initial support for the BADS but have also identified several potential problems. Four studies were conducted in order to develop and provide initial evaluation of a short form of the BADS that addresses these concerns. In Study 1, an exploratory factor analysis was conducted on existing data using the original BADS in order to identify items to retain for the short form. In Study 2, these items were administered to a new sample of college students with elevated depressive symptoms and were analyzed with exploratory and confirmatory factor analyses. Study 3 examined the predictive validity of the BADS-SF by examining the BADS-SF and depression scores in relation to activity tracking and reward-value ratings over the course of 1 week. Study 4 examined BADS-SF data over the course of BA treatment for two clients using cross-lagged panel correlations. With one client, changes in BADS-SF scores led changes in depression scores by 1 week, whereas with the other client changes in BADS-SF and depression scores occurred concurrently. These studies resulted in a nine-item scale that demonstrated good item characteristics as well as acceptable internal consistency reliability, construct validity, and predictive validity.     

Depression as a proxy of negative affect? A critical examination of the use of the CES-D in type 2 diabetes

ObjectivesRecent research suggests depression as measured by self-endorsed symptoms lists is associated with poor health outcomes in chronic illness. Yet, it is probable that these lists of symptoms reflect other concepts such as general distress or negative affect when used as dimensions.MethodsTo test for this hypothesis, we explored associations of the Centre of Epidemiological Studies-Depression, Radloff ([CES-D], 1977) with disease severity in diabetes and how trait negative affect from the Profile of Mood States ([POMS]; Usala & Hertzog, 1989; adaptation by Cohen et al., 1995) impact these associations in a sample of 502 people with type 2 diabetes.ResultsWe found that the CES-D included two dimensions of negative and positive experience. Each CES-D component was independently linked to disease severity. However, controlling for trait negative affect suppressed the correlation between the CES-D negative experience component and disease severity. Item-level analyses revealed that the negative experience component of the CES-D bore an emotional tone of sadness but not anger.ConclusionsWhen using the CES-D, distinguishing positive and negative components is necessary. Self-reported depression symptoms from the CES-D have no incremental validity over negative affect.     

Facets of Emotion Regulation and Emotional Disorder Symptom Dimensions: Differential Associations and Incremental Validity in a Large Clinical Sample

A growing literature suggests robust associations between dimensions of emotion regulation and emotional disorder psychopathology. However, limited research has investigated associations of emotion regulation dimensions across several emotional disorders (transdiagnostic associations), or the incremental validity of emotion regulation versus the higher-order construct of neuroticism. The current study used exploratory structural equation modeling and a large clinical sample (N = 1,138) to: (a) develop a multidimensional emotion regulation measurement model, (b) evaluate the differential associations between latent emotion regulation dimensions and five latent emotional disorder symptom dimensions (social anxiety, depression, agoraphobia/panic, obsessions/compulsions, generalized worry), and (c) determine the incremental contribution of emotion regulation in predicting symptom dimensions beyond neuroticism. The best-fitting measurement model of emotion regulation included four dimensions: Problematic Responses, Poor Recognition/Clarity, Negative Thinking, and Emotional Inhibition/Suppression. Although many zero-order associations between the four latent emotion regulation dimensions and five latent symptom dimensions were significant, few associations remained significant in a structural regression model that included neuroticism. Specifically, Negative Thinking and Problematic Responses incrementally predicted depression symptoms, while Emotional Inhibition/Suppression predicted both social anxiety and depression symptoms. Associations between neuroticism and the emotional disorder dimensions were similar regardless of whether the emotion regulation dimensions were held constant. These results suggest that self-reported emotion regulation dimensions are associated with the severity and expression of a range of emotional disorder symptoms, but that some emotion regulation dimensions have limited incremental validity after accounting for general emotional reactivity. Studies of emotion regulation should assess neuroticism as a key covariate.     

Cross-cultural confirmatory factor analysis of the CES-D in Spanish and Mexican dementia caregivers

The Center for Epidemiologic Studies-Depression Scale (CES-D) is the most frequently used scale for measuring depressive symptomatology in caregiving research. The aim of this study is to test its construct structure and measurement equivalence between caregivers from two Spanish-speaking countries. Face-to-face interviews were carried out with 595 female dementia caregivers from Madrid, Spain, and from Coahuila, Mexico. The structure of the CES-D was analyzed using exploratory and confirmatory factor analysis (EFA and CFA, respectively). Measurement invariance across samples was analyzed comparing a baseline model with a more restrictive model. Significant differences between means were found for 7 items. The results of the EFA clearly supported a four-factor solution. The CFA for the whole sample with the four factors revealed high and statistically significant loading coefficients for all items (except item number 4). When equality constraints were imposed to test for the invariance between countries, the change in chi-square was significant, indicating that complete invariance could not be assumed. Significant between-countries differences were found for three of the four latent factor mean scores. Although the results provide general support for the original four-factor structure, caution should be exercised on reporting comparisons of depression scores between Spanish-speaking countries.     

Unidimensionality and bandwidth in the Center for Epidemiologic Studies Depression (CES-D) Scale

In this study, we compared classical test theory (CTT) and item response theory (IRT) approaches in analyzing the Center for Epidemiological Studies Depression (CES-D) Scale (Radloff, 1977). Standard item analyses, as well as Rasch (1960) analyses, both revealed item departures from unidimensionality in a sample of 2,455 older persons responding to the CES-D. Positive affect items in the scale performed poorly overall, their removal reducing the scale's bandwidth only slightly. Modeling depression scores derived from Rasch measures and raw totals showed subtle but important differences for statistical inference. The assessment of depressive risk was slightly enhanced by using 16-item scale measures obtained from the results of the Rasch analysis as the dependent variable. Confirmatory factor analysis and parallel analysis verified the advantages of removing positively worded items. IRT and CTT techniques proved to be complementary in this study and can be usefully combined to improve measuring depression.     

The Incremental Validity of a Short Form of the Ideational Behavior Scale and Usefulness of Distractor,Contraindicative, and Lie Scales

This article describes an empirical refinement of the Runco Ideational Behavior Scale (RIBS). The RIBS seems to be associated with divergent thinking, and the potential for creative thinking, but it was possible that its validity could be improved. With this in mind, three new scales were developed and the unique benefit (or “incremental validity”) of each was assessed. The three validity scales contained (a) distractor items, (b) contraindicative items, or (c) items constituting a lie scale. Step‐wise analyses using the three validity scales indicated very little incremental validity: They were interpreted in the light of psychometric theory, which suggests that their contribution may have been on a behavioral rather than on a statistical level. One additional analysis explored the possibility that a short form could be constructed. The short form of the RIBS was highly correlated with the long form (r = .94). Thus, most decisions made by the short form will be entirely compatible with decisions that would have been reached using the long form. A second significant result was that the RIBS was highly correlated with a check list of creative activities, supporting its concurrent validity.     

Bilingual computerized speech-recognition screening for clinical depression: Evaluating a cellular telephone prototype

This exploratory field study evaluated a bilingual computerized speech-recognition cellular telephone prototype of the Center for Epidemiological Studies—Depression scale (CES-D). Thirty Spanish and 22 English speakers completed both computer-telephone and face-to-face CES-D methods and an oral depression checklist in counterbalanced order. Both language groups reported high positive ratings for the computer-telephone method, with the English sample preferring the computer-telephone over the face-to-face method. In both samples, the computer-telephone method yielded high internal consistency estimates, strong alternate form reliabilities, and similar high correlations to the depression checklist. Both groups reported significantly elevated scores with the computer-telephone method, but total score variances for both methods did not differ. Computer-telephone limitations included occasional misrecognitions and template training constraints.     

A confirmatory model for depression among Japanese American and part-Japanese American adolescents

A confirmatory model integrating Japanese ethnicity, cultural identity, and depression was developed (N = 140). The model incorporated the Center for Epidemiologic Studies-Depression Scale (CES-D), Major Life Events Scale, and Japanese Cultural Scale. Japanese American adolescents scored higher on the Japanese Cultural Scale and reported fewer depressive symptoms on the CES-D total and on 2 of the 3 CES-D factors than part-Japanese American adolescents. Predictors for depression were being Japanese American vs. part-Japanese American, female gender, and culturally intensified events. A significant interaction of behavior by self-identification was noted. The model had good overall fit and suggested that the formation of cultural identity may contribute to depressive symptoms experienced by adolescents, particularly adolescents of mixed heritage.     

Computerized speech recognition in psychological assessment: A Macintosh prototype for screening depressive symptoms

Computerized speech-recognition technology holds strong promise for psychological assessment. This paper focuses on a computerized speech recognition application for screening depressive symptomatology. A Macintosh-based prototype has been developed that uses the Center for Epidemiological Studies-Depression scale (CES-D). The prototype is a HyperCard stack interfaced with the Voice Navigator II speech recognition application. The “talking” program represents a viable depression screening tool that is fully voice operated by the respondent. A pilot study will assess the feasibility and acceptability of the computerized and written versions of the CES-D with a nonclinical adult population. A counterbalanced design will test for order effects and analyze the psychometric equivalence of the two methods. The limitations and future directions for speech-recognition applications in psychological assessment are discussed.     

A short and very short form of the physical self-inventory for adolescents: Development and factor validity

ObjectivesThe Physical Self-Inventory (PSI)—a French adaptation of the Fox and Corbin's [1989. The Physical Self-Perception Profile: Development and preliminary validation. Journal of Sport and Exercise Psychology, 11, 408–430] Physical Self-Perception Profile—was originally developed for use with adults and no study has systematically verified its psychometric properties in adolescent populations. Additionally, this instrument remains too long to be efficiently completed in combination with multiple other instruments within extensive longitudinal or idiographic studies. The purpose of the present investigation was thus threefold: (a) testing the factor validity and reliability of the original PSI in a sample of adolescents; (b) developing and testing the factor validity and reliability of a very short (i.e., two items per scale) form of the PSI in a sample of adolescents; and (c) testing the equivalence of the factor pattern, structural parameters, latent mean structure, and criterion-related validity of both forms of the PSI.DesignStructural equation modeling approach.MethodTwo samples participated in this series of studies. In Study 1, a sample of 1018 adolescents completed the adult PSI (25 items) and was randomly split in two sub-samples. In Study 2, a new sample of 320 adolescents completed a very short form of the PSI (PSI-VSF). Factorial validity and gender and multigroup invariance of these instruments (PSI, PSI-VSF) were tested using confirmatory factorial analysis (CFA) and structural equation modeling (SEM).ResultsIn Study 1, CFA and SEM analyses provided evidence for the factor validity and reliability of a short (PSI-SF: 18 items) and very short (PSI-VSF: 12 items) form of the PSI for adolescents. In Study 2, CFAs and SEMs supported the equivalence of the factor pattern, structural parameters, latent mean structure, and criterion-related validity of both forms of the PSI (i.e., PSI-SF, PSI-VSF).ConclusionThe present results thus provide preliminary evidence regarding the reliability and validity of a short and a very short form of the PSI for French adolescents.     

Analyzing the convergent and discriminant validity of states and traits: development and applications of multimethod latent state-trait models

The analysis of convergent and discriminant validity is an integral part of the construct validation process. Models for analyzing the convergent and discriminant validity have typically been developed for cross-sectional data. There exist, however, only a few approaches for longitudinal data that can be applied for analyzing the construct validity of fluctuating states. In this article, the authors show how models of latent state-trait theory can be combined with models of multitrait-multimethod analysis to develop a model that allows for analyzing convergent and discriminant validity in time: the multimethod latent state-trait model. The model allows for identifying different sources of variance (trait consistency, trait-method specificity, occasion-specific consistency, occasion-specific method specificity, and unreliability). It is applied to the repeated measurement of depression and anxiety in children, which was assessed by self and teacher reports (N = 375). The application shows that the proposed models fit the data well and allow a deeper understanding of method effects in clinical assessment.     

The Canberra Longitudinal Study: Design,Aims, Methodology,Outcomes and Recent Empirical Investigations

The first section of this paper describes methodology and major cognitive outcomes of the Canberra Longitudinal Study (CLS). This community study of 1045 Australians aged 70 years or over commenced in 1990. Participants were reassessed on three subsequent occasions. Its major themes were investigations of prevalence of dementia and depression, risk factors, inter-individual variability and instrument development. Over 60 papers arising from the study have been published.

The second section of this paper describes the use of a Factor of Curves (FOC) latent growth model to examine the existence of a common factor responsible for age-related deterioration in cognitive and non-cognitive processes. This analysis is a logical progression in a series of investigations using the Canberra Longitudinal Study into risk factors and correlates of cognitive change using structural equation modeling techniques. The FOC model is described and is used to explore the nature of an hypothesized common factor and to determine its relationship with age, gender, education, pre-morbid intelligence and to the ApoE genotype. Latent growth models were developed for each of reaction time, Symbol Letter Modalities Test (SLMT), Grip strength, self-reported Sensory disability and memory from three waves of data. Second-order latent level slope factors were established based on the individual factor growth curve models. Although a common factor model could be fitted to the data, there is little support that it represents a single common cause.     

Implicit attitude measures: consistency, stability, and convergent validity

In recent years, several techniques have been developed to measure implicit social cognition. Despite their increased use, little attention has been devoted to their reliability and validity. This article undertakes a direct assessment of the interitem consistency, stability, and convergent validity of some implicit attitude measures. Attitudes toward blacks and whites were measured on four separate occasions, each 2 weeks apart, using three relatively implicit measures (response-window evaluative priming, the Implicit Association Test, and the response-window Implicit Association Test) and one explicit measure (Modern Racism Scale). After correcting for interitem inconsistency with latent variable analyses, we found that (a) stability indices improved and (b) implicit measures were substantially correlated with each other, forming a single latent factor. The psychometric properties of response-latency implicit measures have greater integrity than recently suggested.     

Prenatal cortisol, prematurity and low birthweight

Three hundred depressed pregnant women were recruited at approximately 20 weeks gestation. They were then divided by a median split into high and low urinary cortisol level groups. The high cortisol group had higher CES-D depression scores and higher inhibition (BIS) scores prenatally. Their fetuses had smaller head circumference, abdominal circumference, biparietal diameter and fetal weight. The high cortisol group neonates were shorter gestational age and lower birthweight and they had lower Brazelton habituation and higher Brazelton reflex scores. Discriminant function analyses suggested that cortisol levels more accurately classified short gestation and low birthweight groups than CES-D depression scores.     

Conceptualizing stress to study effects on health: Environmental,perceptual, and emotional components

Abstract

Stress has been operationalized in numerous ways across studies of physical and mental health, raising questions about the appropriate definition of stress and the construct validity of stress measures. The present paper discusses the theoretical and operational strengths of three prominent approaches to stress definition and then attempts to integrate them into a comprehensive and robust multidimensional definition of stress. In a study of socioeconomically disadvantaged pregnant women, structural equation modelling techniques were used to test whether a single latent construct underlies environmental, perceptual, and response-based indicators of stress. Results suggested a two-factor, rather than a single-factor, model of stress. Stress perception and emotion were part of a single underlying latent factor, a phenomenological stress construct, whereas environmental conditions in the form of major life events represented a second and distinct component of stress. Failure to find a single latent stress construct is interpreted as evidence for the importance of individual perception or appraisal as a mediator of response to difficult environmental conditions. The findings suggest that multidimensional models of stress are theoretically justified and that enhancement of stress measurement in this manner may enable researchers to better identify health effects of stress.