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Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2014
The psychometric properties of the Revised Children's Manifest Anxiety Scale-Second Edition (RCMAS-2) were examined in a sample of 1,003 U.S. elementary and secondary students in Grades 2 to 12. Confirmatory factor analyses (CFAs) were performed comparing the five-factor (target) model consisting of three anxiety (Physiological Anxiety, Social…
Descriptors: Psychometrics, Anxiety, Elementary School Students, Secondary School Students
Dik, Bryan J.; Eldridge, Brandy M.; Steger, Michael F.; Duffy, Ryan D. – Journal of Career Assessment, 2012
Research on work as a calling is limited by measurement concerns. In response, the authors introduce the multidimensional Calling and Vocation Questionnaire (CVQ) and the Brief Calling scale (BCS), instruments assessing presence of, and search for, a calling. Study 1 describes CVQ development using exploratory and confirmatory factor analysis…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Validity, Test Reliability
Joseph, Dana L.; Newman, Daniel A. – Educational and Psychological Measurement, 2010
A major stumbling block for emotional intelligence (EI) research has been the lack of adequate evidence for discriminant validity. In a sample of 280 dyads, self- and peer-reports of EI and Big Five personality traits were used to confirm an a priori four-factor model for the Wong and Law Emotional Intelligence Scale (WLEIS) and a five-factor…
Descriptors: Emotional Intelligence, Measurement Techniques, Validity, Personality Traits
Schermelleh-Engel, Karin; Keith, Nina; Moosbrugger, Helfried; Hodapp, Volker – Psychological Methods, 2004
An extension of latent state-trait (LST) theory to hierarchical LST models is presented. In hierarchical LST models, the covariances between 2 or more latent traits are explained by a general 3rd-order factor, and the covariances between latent state residuals pertaining to different traits measured on the same measurement occasion are explained…
Descriptors: Measurement Techniques, Statistical Analysis, Error of Measurement, Test Anxiety
Wothke, Werner – 1987
Several multivariate statistical methodologies have been proposed to ensure objective and quantitative evaluation of the multitrait-multimethod matrix. The paper examines the performance of confirmatory factor analysis and covariance component models. It is shown, both empirically and formally, that confirmatory factor analysis is not a reliable…
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Brennan, Robert T.; Molnar, Beth E.; Earls, Felton – Journal of Community Psychology, 2007
Correlational analysis, classical test theory, confirmatory factor analysis, and multilevel Rasch modeling were used to refine a measure of adolescents' exposure to violence (ETV). Interpersonal violence could be distinguished from other potentially traumatic events; it was also possible to distinguish three routes of exposure (victimization,…
Descriptors: Violence, Adolescents, Factor Analysis, Urban Youth
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement