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Garn, Alex C. – Journal of Teaching in Physical Education, 2017
Multidimensional measurement is a common theme in motivation research because many constructs are conceptualized as having an overarching general factor (e.g., situational interest) and specific dimensions (e.g., attention demand, challenge, exploration intention, instant enjoyment, novelty). This review addresses current issues associated with…
Descriptors: Physical Education, Student Motivation, Elementary School Students, Structural Equation Models
Arbaugh, J. B.; Hwang, Alvin – Journal of Management Education, 2013
Seeking to assess the analytical rigor of empirical research in management education, this article reviews the use of multivariate statistical techniques in 85 studies of online and blended management education over the past decade and compares them with prescriptions offered by both the organization studies and educational research communities.…
Descriptors: Multivariate Analysis, Management Development, Business Administration Education, Blended Learning
Newman, Isadore; Fraas, John W.; Newman, Carole – 2002
This paper presents a discussion of various statistical concepts and techniques in light of two propositions. The first is that researchers need to select analytical techniques that prevent them from committing Type VI errors, which are inconsistencies between the research question and the statistical analysis. The second is that many statistical…
Descriptors: Multivariate Analysis, Research Design, Research Methodology, Statistical Analysis

Cohen, Patricia; And Others – Applied Psychological Measurement, 1990
Problems in the measurement of latent variables (LVs) in structural equations causal models are presented, with examples from recent empirical studies. Main issues addressed are (1) two general types of increased operative variables; (2) criteria for indicators of LVs; and (3) disattenuation effects in LV models. (SLD)
Descriptors: Causal Models, Literature Reviews, Mathematical Models, Measurement Techniques

Bachman, Lyle F. – Annual Review of Applied Linguistics, 1988
Discusses three research/testing interfaces in second-language (L2) testing: the covariance structure analysis of ex post facto correlational data, the qualitative investigation of test-taking processes, and the development of L2 assessment instruments based on developmental sequences in L2 acquisition. (61 references) (GLR)
Descriptors: Language Proficiency, Language Research, Language Tests, Multivariate Analysis

Games, Paul A. – Journal of Experimental Education, 1990
The logical flaw of using the methods of path analysis and structural equation modeling to make causative conclusions is demonstrated. A proper evaluation of the role of investigation versus experimentation is cited in the work of W. G. Cochran as explicated by D. R. Rubin (1983). (TJH)
Descriptors: Causal Models, Correlation, Experiments, Methods Research
Stapleton, Laura M.; Leite, Walter L. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
With increases in the use of structural equation modeling (SEM) in the social sciences, graduate course offerings in this statistical technique can be expected to increase. Knowledge of the content of current SEM course offerings may provide ideas to instructors developing new courses or enhancing current courses. This article discusses results…
Descriptors: Course Descriptions, Course Content, Social Sciences, Structural Equation Models

Buckley, M. Ronald; And Others – Educational and Psychological Measurement, 1992
The psychometric characteristics of the Job Descriptive Index and other inventories of job satisfaction are examined across a sample of validation studies. The construct validity of these inventories is modest, but this problem can be corrected through proper application of structural equation models. (SLD)
Descriptors: Construct Validity, Job Satisfaction, Literature Reviews, Measurement Techniques