Measurement invariance of the Center for Epidemiologic Studies Depression Scale in parents of individuals with disabilities

2019 ◽  
Vol 47 (10) ◽  
pp. 1-9
Author(s):  
Eun-Young Park ◽  
Joungmin Kim
Keyword(s):  
South Korea ◽  
Measurement Invariance ◽  
Factor Model ◽  
Panel Study ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Fit Indices ◽  
Chi Square ◽  
Using Data ◽  
Invariance Model

We aimed to verify the factor model and measurement invariance of the abbreviated Center for Epidemiologic Studies Depression Scale by conducting a confirmatory factor analysis using data from 761 parents of individuals with intellectual disabilities who completed the scale as part of the 2011 Survey on the Actual Conditions of Individuals with Developmental Disabilities, South Korea, and 7,301 participants from the general population who completed the scale as part of the 2011 Welfare Panel Study and Survey by the Ministry of Health and Welfare, South Korea. We used fit indices to assess data reliability and Amos 22.0 for data analysis. According to the results, the 4-factor model had an appropriate fit to the data and the regression coefficients were significant. However, the chi-square difference test result was nonsignificant; therefore, the metric invariance model was the most appropriate measurement invariance model for the data. Implications of the findings are discussed.

scholarly journals Factor structure and measurement invariance of the Chinese version of the Center for Epidemiological Studies Depression (CES-D) scale among undergraduates and clinical patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lishui Niu ◽  
Jiayue He ◽  
Chang Cheng ◽  
Jinyao Yi ◽  
Xiang Wang ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Depression Scale ◽  
Internal Consistency Reliability ◽  
Epidemiological Studies ◽  
Epidemiologic Studies ◽  
Hunan Province

Abstract Background The Center for Epidemiologic Studies Depression scale (CESD) was widely used for screening of depressive symptoms. The purpose of the current study was to investigate the factor structure and measurement invariance of the CESD across genders and groups in a sample of Chinese undergraduates and clinical patients. Methods Participants included 3093 undergraduates from the Hunan province and 336 patients from psychological clinics. The structure of the CESD scale was analyzed by confirmatory factor analysis (CFA). Multiple sets of CFAs were used to test measurement invariance across genders among undergraduates and clinical patients. Internal consistency reliability was also evaluated. Results The five-factor model achieved satisfactory fit (in the undergraduate sample: WLSMVχ2 = 1662.385, df = 160, CFI = 0.973, TLI = 0.968, RMSEA = 0.055; in the clinical patients: WLSMVχ2 = 502.089, df = 160, CFI = 0.962, TLI = 0.955, RMSEA = 0.072). The measurement invariance of the five-factor model across genders was supported fully assuming different degrees of invariance. The CESD also showed acceptable internal consistency. Conclusion Due to its sound structure and measurement invariance, the five-factor model of the CESD is best suited for testing in Chinese mainland college students and clinical patients.

scholarly journals Cross-cultural measurement invariance of the Revised Child Anxiety and Depression Scale across 11 world-wide societies

2016 ◽  
Vol 26 (4) ◽  
pp. 430-440 ◽  
Author(s):  
D. Stevanovic ◽  
Z. Bagheri ◽  
O. Atilola ◽  
P. Vostanis ◽  
D. Stupar ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Ethnic Groups ◽  
Measurement Invariance ◽  
Factor Model ◽  
Child Anxiety ◽  
Depression Scale ◽  
The Philippines ◽  
Cross Cultural ◽  
Health Study ◽  
Anxiety And Depression

Background.In order to compare estimates by one assessment scale across various cultures/ethnic groups, an important aspect that needs to be demonstrated is that its construct across these groups is invariant when measured using a similar and simultaneous approach (i.e., demonstrated cross-cultural measurement invariance). One of the methods for evaluating measurement invariance is testing for differential item functioning (DIF), which assesses whether different groups respond differently to particular items. The aim of this study was to evaluate the cross-cultural measurement invariance of the Revised Child Anxiety and Depression Scale (RCADS) in societies with different socioeconomic, cultural, and religious backgrounds.Methods.The study was organised by the International Child Mental Health Study Group. Self-reported data were collected from adolescents residing in 11 countries: Brazil, Bulgaria, Croatia, Indonesia, Montenegro, Nigeria, Palestinian Territories, the Philippines, Portugal, Romania and Serbia. The multiple-indicators multiple-causes model was used to test the RCADS items for DIF across the countries.Results.Ten items exhibited DIF considering all cross-country comparisons. Only one or two items were flagged with DIF in the head-to-head comparisons, while there were three to five items flagged with DIF, when one country was compared with the others. Even with all cross-culturally non-invariant items removed from nine language versions tested, the original factor model representing six anxiety and depressive symptoms subscales was not significantly violated.Conclusions.There is clear evidence that relatively small number of the RCADS items is non-invariant, especially when comparing two different cultural/ethnic groups, which indicates on its sound cross-cultural validity and suitability for cross-cultural comparisons in adolescent anxiety and depressive symptoms.

scholarly journals A-12 The Dimensionality of Symptoms Before and After Sport-Related Concussion

2020 ◽  
Vol 35 (6) ◽  
pp. 785-785
Author(s):  
J Karr ◽  
G Iverson
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Five Factor Model ◽  
Fit Indices ◽  
Factor Analyses ◽  
Post Injury ◽  
Specific Symptom ◽  
Bifactor Models ◽  
Before And After ◽  
Sleep Arousal

Abstract Objective Multiple factor analyses have examined the dimensionality of physical, emotional, and cognitive symptoms both before and after a sport-related concussion. The current study compared model fit and measurement invariance of five candidate factor models, including a one-factor model, original four-factor model (cognitive-sensory, vestibular-somatic, sleep-arousal, and affective), alternative four-factor model (cognitive, physical, sleep-arousal, and affective), five-factor model (cognitive-sensory separated), and bifactor model. Method Student athletes (N = 1,554; 56.7% boys; age: M = 16.1 ± 1.2) completed the Post-Concussion Symptoms Scale (PCSS) at preseason baseline and after a suspected concussion. Confirmatory factor analyses were conducted at both time points, with pre-injury to post-injury measurement invariance models (configural, weak, strong, and strict) also examined. Model results were assessed via fit indices (CFI ≥ .90/RMSEA≤.08) and change-in-fit indices (∆CFI ≤ -.01). Results All models other than the one-factor model showed excellent fit before and after concussion (CFIs>.95/RMSEAs < .06). Based on pre-injury to post-injury invariance analyses, full weak invariance was established for both four-factor and the bifactor models, and partial strict invariance was established for each of these models following modifications. Conclusions Support for partial strict invariance indicates that meaningful comparisons can be made between factor means before and after concussion for the four-factor and bifactor models, evidencing the validity of a total symptom score and specific symptom subscales before and after concussion. The alternative four-factor model may offer an improved conceptual framework compared to the original four-factor model, which included a non-intuitive cognitive-sensory factor. These findings could support the development of normative scores for PCSS subscales for use in research and clinical practice.

scholarly journals Depression and quality of life of hemodialysis patients living in a poor region of Brazil

2011 ◽  
Vol 33 (4) ◽  
pp. 332-337 ◽  
Author(s):  
Paulo Roberto Santos
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Chi Square ◽  
Depressed Patients ◽  
Role Emotional ◽  
Predictive Variables ◽  
Student’S T

OBJECTIVE: To determine the correlation between depression and quality of life (QOL) of patients in hemodialysis (HD). METHOD: One hundred and sixty six patients over 18 years of age who had been in HD for at least three months and had no history of transplant. QOL was assessed using the SF-36. To categorize depression, a score > 10 was used on the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D). Comparisons between depressed and nondepressed patients were performed using the chi-square test, Student's t-test, and Mann-Whitney test. Multiple regression was performed to assess the predictive variables of patients' QOL. RESULTS: Symptoms of depression were found in 13 (7.8%) patients. The only variable that differed among depressed patients was QOL. Depressed patients presented lower scores in vitality (40.7 vs. 57.3; p = 0.010), role-emotional (25.6 vs. 62.5; p = 0.006), and mental health (50.1 vs. 65.4; p = 0.023). Regression analysis demonstrated that depression was a predictor of role-emotional (OR = 0.981, CI = 0.967-0.996; p = 0.010) and mental health (OR = 0.970, CI = 0.946-0.996; p = 0.022). CONCLUSION: Depressed patients experience a poor QOL because, in addition to their chronically affected physical aspects, they also feel limited in the mental dimensions, which usually have the highest score among non-depressed HD patients.

Assessing Longitudinal Invariance of the Center for Epidemiologic Studies-Depression Scale Among Middle-Aged and Older Adults

2015 ◽  
Vol 23 (2) ◽  
pp. 302-314 ◽  
Author(s):  
Mulubrhan F. Mogos ◽  
Jason W. Beckstead ◽  
Kevin E. Kip ◽  
Mary E. Evans ◽  
Roger A. Boothroyd ◽  
...  
Keyword(s):  
Older Adults ◽  
Structural Equation ◽  
Factor Model ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Equation Modeling ◽  
Middle Aged ◽  
Partial Invariance ◽  
Best Fitting

Background and Purpose: The longitudinal invariance of the Center for Epidemiologic Studies-Depression (CES-D) scale among middle-aged and older adults is unknown. This study examined the factorial invariance of the CES-D scale in a large cohort of community-based adults longitudinally. Methods: 1,204 participants completed the 20-item CES-D scale at 4 time points 1 year apart. Structural equation modeling was used to identify best fitting model using longitudinal data at baseline and at 1-, 2-, and 3-year follow-up. Results: The 4-factor model showed partial invariance over 3 years. Two of the 6 noninvariant items were consistently noninvariant at the 3 follow-up points. Conclusion: Special consideration should be given to these 2 items when using the CES-D scale in healthy adults (45–75 years old).

scholarly journals Factor Structure and Invariance Analysis of the Center for Epidemiologic Studies Depression Scale – Revised (CESD-R) in a Brazilian Population

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Andre Faro ◽  
◽  
Daiane Nunes dos Santos ◽  
William W. Eaton ◽  
◽  
...  
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Brazilian Population ◽  
Screening Tools ◽  
Initial Structure ◽  
Fit Indices ◽  
Reliability Indicators ◽  
Confirmatory Factor

Introduction: The Center for Epidemiologic Studies Depression Scale – Revised (CESD-R) was developed to provide an efficient screening scale for depression syndrome, mimicking the original CESD, one of the most widely used screening tools to measure depressive symptoms globally. This investigation examined the factor structure of the CESD-R with a non-clinical Brazilian population. Method: We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) of two adult samples, and also conducted invariance analysis by sex and place of residence of the participants. The full sample consisted of 1,427 adults, divided into two groups. The first sample (n = 400) was used for the EFA and the second sample (n = 1027) for the CFA. Results: The EFA indicated an internal structure composed of a single factor, which explained 53.2% of the variance. The CFA attested to the unidimensionality of the measure. Fit indices and reliability indicators showed values higher than expected, without modifications in the initial structure. The model was invariant in relation to the variables investigated at four different levels (configural, metric, scalar, and strict). Conclusions: Our findings support the utility of the CESD-R and suggest its validity for application to the Brazilian population in general.

Further Psychometric Evaluation of the Fear Questionnaire: Responses of College Students

1993 ◽  
Vol 73 (3_suppl) ◽  
pp. 1259-1266 ◽  
Author(s):  
Augustine Osman ◽  
Francisco X. Barrios ◽  
Joylene R. Osman ◽  
Kathy Markway
Keyword(s):  
Factor Model ◽  
Psychometric Evaluation ◽  
Brief Symptom Inventory ◽  
Fit Indices ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
General Psychological Distress ◽  
Components Analysis ◽  
Using Data

This study presents evidence for the factor structure and psychometric properties of the Fear Questionnaire for college undergraduates. Fit indices of the 4-and 5-factor models identified previously were inadequate. Exploratory principal components analysis identified three factors, using data from Sample 1 ( n = 208). LISREL confirmatory factor analyses supported generalizability of the three-factor model to Sample 2 ( n = 200). Satisfactory reliability coefficients were obtained for the factor-derived subscales. Significant gender differences were obtained on 4 of the 15 items but not on the factor subscales. Finally, we examined the correlations between scores on the scale and on other measures of social anxiety, social desirability, and general psychological distress of the Brief Symptom Inventory. Present results suggest that the Fear Questionnaire is a valuable research instrument for a nonclinical sample.

Psychometric Assessment of the Postpartum Depression Predictors Inventory–Revised

2007 ◽  
Vol 15 (3) ◽  
pp. 189-202 ◽  
Author(s):  
Kathie Records ◽  
Michael Rice ◽  
Cheryl Tatano Beck
Keyword(s):  
Factor Analysis ◽  
Postpartum Depression ◽  
Depression Scale ◽  
Reliability And Validity ◽  
Epidemiologic Studies ◽  
Psychometric Assessment ◽  
Valid Assessment ◽  
Initial Support ◽  
Using Data ◽  
Mood Scale

Identification of women at risk for postpartum depression requires reliable and valid assessment indices. The purpose of this article is to describe the psychometric properties of the Postpartum Depression Predictors Inventory–Revised (PDPI-R). Psychometric assessment of the PDPI-R was conducted in conjunction with the Centers for Epidemiologic Studies Depressed Mood Scale, and the Edinburgh Postnatal Depression Scale, using data from 139 pregnant women who were followed for 8 months after birth. The prenatal PDPI-R demonstrated concept, concurrent, and predictive validity. The postpartum PDPI-R demonstrated concurrent validity. Factor analysis revealed four underlying factors that did not match the original conceptualization of the instrument. Reliability of the total score resulting from the factor analysis was .83. Initial support for the reliability and validity of the PDPI-R was indicated.

scholarly journals Parenthood and depression: is childlessness similar to sonlessness among Chinese seniors?

2017 ◽  
Vol 38 (10) ◽  
pp. 2097-2121 ◽  
Author(s):  
MAJA DJUNDEVA ◽  
TOM EMERY ◽  
PEARL A. DYKSTRA
Keyword(s):  
Older Adults ◽  
Urban Areas ◽  
Panel Study ◽  
Depression Scale ◽  
Ordinary Least Squares ◽  
Epidemiologic Studies ◽  
Parental Status ◽  
Least Squares Regression ◽  
Gender Preferences ◽  
The Relationship

ABSTRACTWe investigate how the mental health of older adults (60–85) is associated with childlessness and sonlessness in China, where gender-biased filial expectations and strong son preference exist. The China Family Panel Study (2012, N = 6,021) and ordinary least squares regression models are used to investigate the relationship between depression (Center for Epidemiologic Studies – Depression scale) and parental status, distinguishing between childless, parents of both sons and daughters, parents of only sons and parents of only daughters. Arguing that modernisation shapes gender preferences for children as well as formal care and pension provisions for older adults, we find a sharp rural–urban divide in the relationship between parental status and depression. Just having a son is not what matters as the best faring groups are parents who have both sons and daughters, regardless of the number of children. Rural childless and sonless are similar, whereas in urban areas parental status is not so salient, supporting modernisation theory.

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