Journal ArticleDOI
Longitudinal Measurement Invariance of Beck Depression Inventory-II in Early Adolescents
TLDR
It was found that the three-factor model (Negative Attitude, Performance Difficulty, and Somatic Elements) best fitted the data and suggested that the BDI-II measured the same construct over 3 years.Abstract:
This study explored the longitudinal measurement invariance in the Beck Depression Inventory-II (BDI-II) in early adolescents (junior high school students). The participants were 730 early adolescents (330 boys and 400 girls), who were followed up over 3 years (in six waves). To reduce the size of longitudinal model and verify the stability of the findings, the Fall and Spring series data sets were analyzed separately. Each series includes three waves of data with about 1-year apart. It was found that the three-factor model (Negative Attitude, Performance Difficulty, and Somatic Elements) best fitted the data. Results of both data sets provided support for the longitudinal measurement invariance (threshold invariance) of the three-factor model, suggesting that the BDI-II measured the same construct over 3 years. The study also examined the category function of the BDI-II on the basis of the pattern of threshold estimates. Finally, the implications of the findings on the continuing use of the BDI-II are discussed.read more
Citations
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measurement and evaluation in counseling and Development
Paul R. Peluso,Boca Raton,Kyunglok Kim,June Manning Thomas,Robert Davison Avilés,John J. Fremer,Flaviu Adrian,David A. Jepsen,Gregory Arief,D. Liem,Wei-Cheng Mau,Patricia Jo McDivitt,F. Merenda,Matthew J. Miller,Ralph O. Mueller,Philip D. Parker,Ralph L. Piedmont,Alex L. Pieterse,J. Ruiz,William D. schafer,L Jody,Bruce Thompson,Timothy R. Vansickle,Robert J. Wilson,Paulina Klein +24 more
TL;DR: In this article, Aviles et al. present a review of the state of the art in the field of test data analysis, which includes the following institutions: Stanford University, Stanford Graduate School of Education, Stanford University and the University of Southern California.
Global variation in the prevalence and incidence of major depressive disorder : a systematic review of the epidemiological literature
Alize J. Ferrari,Adele Somerville,Amanda J Baxter,Rosana E. Norman,Scott B. Patten,Theo Vos,Harvey Whiteford +6 more
TL;DR: In this paper, the authors present a global summary of the prevalence and incidence of major depressive disorder, accounting for sources of bias, and dealing with heterogeneity in the data, which are informed by the Global Burden of Disease (GBD) 2010 Study.
Journal ArticleDOI
Further Validation of the Inventory of Callous–Unemotional Traits in Chinese Children: Cross-Informants Invariance and Longitudinal Invariance:
TL;DR: The findings suggest that the ICU-11 was an excellent fit for data and displayed measurement invariance across informants and over time and may be a promising assessment tool that could be used in research to assess callous–uncaring traits in Chinese children.
Journal ArticleDOI
Food Addiction in Adolescents: Exploration of psychological symptoms and executive functioning difficulties in a non-clinical sample.
TL;DR: The present work provides a preliminary framework in the developmental study of FA, and showed that adolescents with a high level of FA symptoms reported significantly more psychological symptoms (binge eating, depression, anxiety, impulsivity), and more executive functioning difficulties.
References
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Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Journal ArticleDOI
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
TL;DR: In this paper, the authors examined the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model and found that the change was independent of both model complexity and sample size.
Book
Confirmatory Factor Analysis for Applied Research
TL;DR: In this article, the authors present a detailed, worked-through example drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology.
Journal ArticleDOI
Confirmatory Factor Analysis for Applied Research
TL;DR: Data Mining Methods and Models is the second volume of a three-book series on data mining authored by Larose and is a fairly readable book for adoption in a graduate-level introductory course on datamining.