NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
A Proposed Solution to the Problem with Using Completely Random Data to Assess the Number of Factors with Parallel Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Cross-Validation of the Norwegian Teacher's Self-Efficacy Scale (NTSES)
Peer reviewed Peer reviewed
Direct linkDirect link
Avanzi, Lorenzo; Miglioretti, Massimo; Velasco, Veronica; Balducci, Cristian; Vecchio, Luca; Fraccaroli, Franco; Skaalvik, Einar M. – Teaching and Teacher Education: An International Journal of Research and Studies, 2013
The study assesses the psychometric properties of the Italian version of the Norwegian Teacher Self-Efficacy Scale--NTSES. Multiple group confirmatory factor analysis was used to explore the measurement invariance of the scale across two countries. Analyses performed on Italian and Norwegian samples confirmed a six-factor structure of the scale…
Descriptors: Foreign Countries, Factor Analysis, Self Efficacy, Well Being
Psychometric Properties of the Five Facets Mindfulness Questionnaire (FFMQ) in a Meditating and a Non-Meditating Sample
Peer reviewed Peer reviewed
Direct linkDirect link
de Bruin, Esther I.; Topper, Maurice; Muskens, Jan G. A. M.; Bogels, Susan M.; Kamphuis, Jan H. – Assessment, 2012
The factor structure, internal consistency, construct validity, and predictive validity of the Dutch version of the Five Facet Mindfulness Questionnaire (FFMQ-NL) were studied in a sample of meditators (n = 288) and nonmeditators (n = 451). A five-factor structure was demonstrated in both samples, and the FFMQ-NL and its subscales were shown to…
Descriptors: Construct Validity, Predictive Validity, Factor Structure, Measures (Individuals)
The Effect of Among-Group Dependence on the Invariance Likelihood Ratio Test
Peer reviewed Peer reviewed
Direct linkDirect link
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
Comparability of Educational Achievement and Learning Attitudes across Nations
Peer reviewed Peer reviewed
Direct linkDirect link
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