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Peer reviewedSnyder, Conrad W., Jr.; Law, Henry G. – Multivariate Behavioral Research, 1979
As psychologists increasingly employ more elaborate and comprehensive data collection schemes, sophisticated analytic techniques will play an ever more important role in understanding behavioral data. This paper outlines one such promising technique, Tucker's three-mode factor analysis, which enables the researcher to explore new taxonomic…
Descriptors: Computer Programs, Factor Analysis, Longitudinal Studies, Mathematical Models
Peer reviewedWerts, C. E.; And Others – Educational and Psychological Measurement, 1981
A linear structural model for comparing quasi-Markov models across populations is demonstrated. A confirmatory factor analysis formulation of the simplex model is also developed for between group comparisons. A variety of possible applications of this approach are suggested. (Author)
Descriptors: Factor Analysis, Longitudinal Studies, Mathematical Models, Research Design
Peer reviewedNesselroade, John R. – Psychometrika, 1972
The longitudinal factor analysis" model, which uniquely resolves factors from two occasions of data representing the same persons measured on the same test battery, is shown to be derivable by application of canonical correlation procedures to factor scores. (Author)
Descriptors: Factor Analysis, Longitudinal Studies, Mathematical Models, Multivariate Analysis
Millsap, Roger E. – 1986
A component analytic method for analyzing multivariate longitudinal data is presented that does not make strong assumptions about the structure of the data. Central to the method are the facts that components are derived as linear composites of the observed or manifest variables and that the components must provide an adequate representation of…
Descriptors: Comparative Analysis, Computer Software, Cross Sectional Studies, Error of Measurement
Peer reviewedHanna, Gila; Lei, Hau – Journal of Educational Statistics, 1985
The Lisrel-model with structured means was used to study similarities and differences in the development of mathematical ability between two student groups as measured by two tests on three successive occasions. Procedures for testing models to assess the contribution on an individual parameter to the goodness of fit are described. (Author/BS)
Descriptors: Academic Ability, Factor Analysis, Foreign Countries, Goodness of Fit
Peer reviewedGluck, Myke – Journal of the American Society for Information Science, 1990
Examines the definition of journal coverage overlap in abstracting and indexing services during the past 30 years of research and expands the definition using a matrix of dissimilarity values. Multidimensional scaling analysis is applied to graphically demonstrate this definition and a naive secondary tool selection algorithm is presented. (43…
Descriptors: Algorithms, Citation Analysis, Data Collection, Factor Analysis
Marsh, Herbert W. – 1986
Newman (1984) examined the causal relations between math self-concept and math achievement in an 8-year longitudinal study using Linear Structural Relations (LISREL) analyses. He concluded that math self-concept did not influence subsequent math achievement. However, the study suffered in that math self-concept was inferred from a single-item…
Descriptors: Attribution Theory, Correlation, Effect Size, Elementary Secondary Education
Hanna, Gila; Lei, Hau – 1984
This paper discusses the use of the LISREL computer program to compare two groups of Ontario students who studied French as a second language in either a regular or an immersion program. Longitudinal data on growth in mathematical ability, from grade 4 to grade 6, are analyzed using seven different mathematical models. The paper illustrates the…
Descriptors: Analysis of Covariance, Computer Software, Elementary School Mathematics, Evaluation Methods


