Factor variability of the Center for Epidemiological Studies Depression Scale (CES-D) among urban Latinos

Establishing comparable measurement properties across different populations or in different population subgroups is a crucial yet often neglected step in instrument development. Failure to have comparable factor structures across groups makes any comparison between groups suspect. Previous analyses of the measurement structure of the Center for Epidemiologic Studies Depression Scale (CES-D) in diverse racial/ethnic populations have resulted in conflicting results. In the present analysis, data from three studies of urban Latinos (N = 1,403) were analyzed using structural equation modeling techniques to (1) fit the original four-factor solution separately in men and women; (2) evaluate configural and metric invariance between men and women; and (3) evaluate the mediating effects of age and acculturation on the fit of this model to the data. Results indicated that the four-factor model proposed by Radloff provided adequate fit to the data for Latina women when age and acculturation were included in the model. The four-factor model did not fit the data for Latino men; thus tests of configural and metric invariance across these two groups failed. We conclude that the CES-D may not measure the same constructs in Latino men and women and that further evaluation of the use of this measure in diverse populations is needed. Additionally, prior to comparison with other groups in which the four-factor solution is observed, the effects of age and acculturation should be controlled in Latinas.     

Factorial Invariance of Child Self-Report across Age Subgroups: A Confirmatory Factor Analysis of Ages 5 to 16 Years Utilizing the PedsQL 4.0 Generic Core Scales

Background:  The utilization of health-related quality of life (HRQOL) measurement in an effort to improve pediatric health and well-being and determine the value of health care services has grown dramatically over the past decade. The paradigm shift toward patient-reported outcomes (PROs) in clinical trials has provided the opportunity to emphasize the value and essential need for pediatric patient self-report. In order for HRQOL/PRO comparisons to be meaningful for subgroup analyses, it is essential to demonstrate factorial invariance. This study examined age subgroup factorial invariance of child self-report for ages 5 to 16 years on more than 8500 children utilizing the PedsQL™ 4.0 Generic Core Scales.
Method:  Multigroup Confirmatory Factor Analysis (MGCFA) was performed specifying a five-factor model. Two multigroup structural equation models, one with constrained parameters and the other with unconstrained parameters, were proposed to compare the factor loadings across the age subgroups.
Results:  Metric invariance (i.e., equal factor loadings) across the age subgroups was demonstrated based on stability of the Comparative Fit Index between the two models, and several additional indices of practical fit including the Root Mean Squared Error of Approximation, the Non-Normed Fit Index, and the Parsimony Normed Fit Index.
Conclusion:  The findings support an equivalent five-factor structure across the age subgroups. Based on these data, it can be concluded that children across the age subgroups in this study interpreted items on the PedsQL 4.0 Generic Core Scales in a similar manner regardless of their age.