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Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
Victor Snipes Swaim – ProQuest LLC, 2009
Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using normal data sets. This study had two phases. The first phase explored the Kaiser method, Scree test, Bartlett's chi-square test, Minimum Average Partial (1976&2000),…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Evaluation Methods
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Floyd, Frank J.; Widaman, Keith F. – Psychological Assessment, 1995
The goals of exploratory and confirmatory factor analysis are described, and procedural guidelines for each approach are summarized, emphasizing the use of factor analysis in developing and refining clinical measures. Recent examples of the use of factor analysis are reviewed and used to highlight controversies that can emerge. (SLD)
Descriptors: Clinical Diagnosis, Evaluation Methods, Factor Structure, Measures (Individuals)
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Loo, Robert – Perceptual and Motor Skills, 1983
In examining considerations in determining sample sizes for factor analyses, attention was given to the effects of outliers; the standard error of correlations, and their effect on factor structure; sample heterogeneity; and the misuse of rules of thumb for sample sizes. (Author)
Descriptors: Correlation, Error of Measurement, Evaluation Methods, Factor Analysis
Magidson, Jay; Sorbom, Dag – 1980
Evaluations of social programs based upon quasi-experimental designs are typically plagued by problems of nonequivalence between the experimental and comparison group prior to the experiment. In such settings it is extremely difficult, if not impossible, to isolate the effects of the program from the confounding effects associated with the…
Descriptors: Control Groups, Correlation, Evaluation Methods, Experimental Groups