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Shin, Tacksoo – Asia Pacific Education Review, 2007
This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…
Descriptors: Multidimensional Scaling, Academic Achievement, Structural Equation Models, Causal Models
Friege, Gunnar; Lind, Gunter – International Journal of Science and Mathematics Education, 2006
Based on empirical findings and theoretical considerations related to the field of expertise research, the importance of "types" and "qualities" of knowledge in relation to problem solving in physics was investigated. The students (N = 138) in this study had a level of competence that corresponds to an intensive beginner college course in physics.…
Descriptors: High Achievement, Low Achievement, Physics, Problem Solving
Hill, David J. – Edinburgh Working Papers in Linguistics, 1992
As part of a research program investigating the interlanguage lexicon of Kenyan learners of English, based on the lexical field of locomotion, a card sorting task was used to produce raw similarity measure data. This was subjected to cluster analysis and multidimensional scaling (MDS). This paper suggests that cluster analysis/MDS of perceived…
Descriptors: Cluster Analysis, English (Second Language), Foreign Countries, Interlanguage
Liu, Xiufeng – 1992
The difference between compensatory and non-compensatory item response theory (IRT) models in terms of the dimensionality of test data generated by them, and its effect on the model-data-fit were examined. The STRESS (proportion of variance not accounted for by the multidimensional scaling model) and RSQ (proportion of variance accounted for by…
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Foreign Countries
Ackerman, Terry A. – 1991
Many researchers have suggested that the main cause of item bias is the misspecification of the latent ability space. That is, items that measure multiple abilities are scored as though they are measuring a single ability. If two different groups of examinees have different underlying multidimensional ability distributions and the test items are…
Descriptors: Equations (Mathematics), Item Bias, Item Response Theory, Mathematical Models
Marsh, Herbert W.; And Others – 1984
The Self Description Questionnaire II (SDQ II) was administered to 901 students (11 to 18 years old) in grades 7 through 12 who attended one public coeducational high school. The 11 factors the SDQ II was designed to measure were clearly identified in a conventional/exploratory factor analysis and in a confirmatory factor analysis using LISREL.…
Descriptors: Factor Analysis, Factor Structure, Models, Multidimensional Scaling
Peer reviewedRosenberg, Seymour; Kim, Moonja Park – Multivariate Behavioral Research, 1975
Compares two basic variants of the sorting method: single-sort and multiple sort. The nature of individual differences in sorting, as well as sex differences, were also investigated. Stimulus materials were the 15 mutually exclusive kinship terms selected by Wallace and Atkins (1960). (RC)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students
Raphael, Karen G. – 1986
Although Holland's theory of vocational choice has received widespread attention since its formulation in 1959, there has been little research examining how well Holland's two-dimensional hexagon explains an individual's subjective occupational structure of the work world. A study was conducted to examine the degree to which judgments of…
Descriptors: Career Choice, College Students, Congruence (Psychology), Females
McKinley, Robert L.; Reckase, Mark D. – 1982
The usefulness of the general Rasch model for multidimensional data, from the most simple formulations to the more complex versions of the model, is explored. Also investigated was whether the parameters of the models could be readily interpreted. Models investigated included: (1) the vector model; (2) the product term model; (3) the vector and…
Descriptors: Data Analysis, Factor Analysis, Goodness of Fit, Latent Trait Theory
Peer reviewedFarley, John U.; And Others – Multivariate Behavioral Research, 1974
Evaluation of attributes of a subcompact car were combined in linear regressions predicting liking and purchase intention. Of two forms--raw scales and scales weighted by the importance attached to each attribute by each subject--unweighted evaluations proved more consistent and important predictors than those weighted by their saliency. (Author)
Descriptors: Attitudes, Decision Making, Design Preferences, Design Requirements
Farace, Richard V.; Mabee, Timothy – 1977
This paper reviews a variety of analytic procedures that can be applied to network data, discussing the assumptions and usefulness of each procedure when applied to the complexity of human communication. Special attention is paid to the network properties measured or implied by each procedure. Factor analysis and multidimensional scaling are among…
Descriptors: Cluster Grouping, Communication (Thought Transfer), Computer Programs, Factor Analysis
Peer reviewedLeister, Douglas V. – Journal of Higher Education, 1975
Presents methodology, philosophy, findings, and conclusions of a study designed to increase physical plant and institutional efficiency and to identify ways of broadening student appeal through innovative programs. Advocates use by educational administrators of metamarketing procedures used: multidimensional scaling and other attitude research…
Descriptors: Attitudes, Community Attitudes, Educational Administration, Educational Research
Peer reviewedGower, J. C. – Psychometrika, 1975
Concerned with another form of analysis of m sets of matrices, the Procrustes idea is generalized so that all m sets are simultaneously translated, rotated, reflected and scaled so that a goodness of fit criterion is optimised. A computational technique is given, results of which can be summarized in analysis of variance form. (RC)
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Goodness of Fit
Koenigsberg, Ellen – 1982
The Bem Sex Role Inventory (BSRI) is designed to measure masculinity and femininity independently. It is based on the dualistic, as opposed to the bipolar, nature of masculinity and femininity. The development of measures for sex role research has relied on empirical techniques; item selection has been based on respondents' stereotyped conceptions…
Descriptors: Cognitive Processes, Factor Structure, Femininity, Higher Education
Davison, Mark L. – 1981
Academic psychology has long been composed of two disciplines, one experimental and one correlational. These two disciplines each developed their own method of studying structure in data: multidimensional scaling (MDS) and factor analysis. Both methods use similar kinds of input data, proximity measures on object pairs. Both represent the object…
Descriptors: Ability, Comparative Analysis, Correlation, Factor Analysis

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