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Kim, Eun Sook; Kwok, Oi-man; Yoon, Myeongsun – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Testing factorial invariance has recently gained more attention in different social science disciplines. Nevertheless, when examining factorial invariance, it is generally assumed that the observations are independent of each other, which might not be always true. In this study, we examined the impact of testing factorial invariance in multilevel…
Descriptors: Monte Carlo Methods, Testing, Social Science Research, Factor Structure
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Green, Samuel B.; Levy, Roy; Thompson, Marilyn S.; Lu, Min; Lo, Wen-Juo – Educational and Psychological Measurement, 2012
A number of psychometricians have argued for the use of parallel analysis to determine the number of factors. However, parallel analysis must be viewed at best as a heuristic approach rather than a mathematically rigorous one. The authors suggest a revision to parallel analysis that could improve its accuracy. A Monte Carlo study is conducted to…
Descriptors: Monte Carlo Methods, Factor Structure, Data Analysis, Psychometrics
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Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
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Jones-Farmer, L. Allison – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…
Descriptors: Factor Structure, Factor Analysis, Evaluation Research, Goodness of Fit
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Boren, Rachel; Callahan, Carolyn; Peugh, James – Journal of Psychoeducational Assessment, 2011
Several instruments have been developed to gauge student perceptions of their classroom environment as greater attention has been given to the relationship between student achievement and student perceptions. One widely used instrument to assess those perceptions is the Classroom Environment Scale (CES), a 90-item measure for secondary level…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Classroom Environment
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Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
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French, Brian F.; Finch, W. Holmes – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…
Descriptors: Test Items, Simulation, Factor Structure, Factor Analysis
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Wang, Shudong; Jiao, Hong – Educational and Psychological Measurement, 2009
In practice, vertical scales have been continually used to measure students' achievement progress across several grade levels and have been considered very challenging psychometric procedures. Recently, such practices have been drawing many criticisms. The major criticisms focus on dimensionality and construct equivalence of the latent trait or…
Descriptors: Reading Comprehension, Elementary Secondary Education, Measures (Individuals), Psychometrics
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Corbell, Kristen A.; Osborne, Jason W.; Grable, Lisa Leonor – Computers in the Schools, 2008
The survey Performance Standards for In-service Teachers is widely used to help describe teacher skills relating to instructional technology for assessment or planning of professional development. It is based on the six constructs of the National Educational Technology Standards for Teachers, and though used broadly in a variety of contexts, it…
Descriptors: Factor Structure, Program Effectiveness, Factor Analysis, Educational Technology
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Rodebaugh, Thomas L.; Woods, Carol M.; Thissen, David M.; Heimberg, Richard G.; Chambless, Dianne L.; Rapee, Ronald M. – Psychological Assessment, 2004
Statistical methods designed for categorical data were used to perform confirmatory factor analyses and item response theory (IRT) analyses of the Fear of Negative Evaluation scale (FNE; D. Watson & R. Friend, 1969) and the Brief FNE (BFNE; M. R. Leary, 1983). Results suggested that a 2-factor model fit the data better for both the FNE and the…
Descriptors: Measures (Individuals), Validity, Item Response Theory, Fear
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O'Keefe, Maura; Mennen, Ferol; Lane, Christianne Joy – Research on Social Work Practice, 2006
The Youth Self Report (YSR) is a popular and widely used instrument assessing adolescent emotional and behavioral functioning. The goals of the present study were to address some of the limitations of the YSR, to examine its factor structure and equivalence across four racial/ethnic groups, and to determine if another combination of items could…
Descriptors: Structural Equation Models, Ethnic Groups, Factor Structure, Self Disclosure (Individuals)
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Bates, Reid; Kauffeld, Simone; Holton, Elwood F., III – Journal of European Industrial Training, 2007
Purpose: The purpose of this research is to examine the construct and predictive ability of a German version of the Learning Transfer Systems Inventory (GLTSI), an instrument designed to assess a constellation of 16 factors known to influence the transfer of training in work settings. Design/methodology/approach: The survey data for this study was…
Descriptors: Private Sector, Social Desirability, Construct Validity, Predictive Validity