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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
Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling

MacCallum, Robert C. – Psychometrika, 1976
Concerned with consequences of employing the INDSCAL model when one of its assumptions are known to be violated. Under study is the notion that all individuals perceive the object space dimensions to be independent. (RC)
Descriptors: Factor Analysis, Goodness of Fit, Individual Differences, Mathematical Models

van der Burg, Eeke; de Leeuw, Jan – Psychometrika, 1988
Homogeneity analysis (multiple correspondence analysis), which is usually applied to "k" separate variables, was applied to sets of variables by using sums within sets. The resulting technique, OVERALS, uses optimal scaling. The corresponding OVERALS computer program minimizes a least squares loss function via an alternating least…
Descriptors: Algorithms, Factor Analysis, Least Squares Statistics, Multidimensional Scaling

Subkoviak, Michael J. – Review of Educational Research, 1975
Illustrated is the power of multidimensional scaling in reducing a complex set of proximity measures to a simple geometric picture that shows the relationship among data objects. Methods are discussed for determining the number of dimensions needed to represent a set. (Author/DEP)
Descriptors: Educational Research, Evaluation Methods, Factor Analysis, Mathematical Models
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
Smith, Thomas J.; Campbell, Cynthia – Journal of Career Assessment, 2006
The structure of occupational values is investigated using several analytical techniques. Data from the U.S. Department of Labor's Occupational Information Network (O*NET) describing need reinforcers for 900 occupations are examined using exploratory factor analysis, cluster analysis, and multidimensional scaling. Results indicated broadly defined…
Descriptors: Occupational Clusters, Career Counseling, Factor Analysis, Multidimensional Scaling
Benson, Jeri; Zarnegar, Zohreh – 1984
The purpose of the study was to use confirmatory factor analysis techniques to assess the adequacy of previous validity studies related to the structural and theoretical dimensions underlying a measure of self-concept, the Piers Harris Children's Self Concept Scale. Responses from 890 students in grades 3-6 were used as input to the LISREL program…
Descriptors: Elementary Education, Factor Analysis, Factor Structure, Goodness of Fit
McCroskey, James C.; McCain, Thomas A. – 1972
This paper reports a factor analytic investigation of the interpersonal attraction construct. Two hundred-fifteen subjects completed 30 Likert-type, 7-step scales concerning an acquaintance. Factor analysis indicated three dimensions of the interpersonal attraction construct which were labeled "task,""social," and "physical." Obtained internal…
Descriptors: Attitudes, Evaluation Criteria, Evaluation Methods, Factor Analysis

Berven, Norman L.; Scofield, Michael E. – Rehabilitation Counseling Bulletin, 1982
Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)
Descriptors: Cluster Analysis, Data Analysis, Factor Analysis, Multidimensional Scaling
Veenker, C. Harold; Torabi, Mohammad R. – Health Education (Washington D.C.), 1983
Researchers evaluated the construct validity of attitude measures containing feeling, belief, and intention-to-act components. Evidence strongly suggests that treating these three factors as unidimensional concepts is inadequate for measuring health attitudes--a multidimensional approach is needed. (PP)
Descriptors: Attitude Measures, Factor Analysis, Health Education, Higher Education
Aberg-Bengtsson, Lisbeth; Erickson, Gudrun – Educational Research and Evaluation, 2006
The research project presented in this article was set in the Swedish school context and carried out on a set of compulsory national tests for English, Swedish, and mathematics used at the end of compulsory school. The aims were: (a) to gain a deeper knowledge of the internal structure of the tests and (b) to separate individual performance from…
Descriptors: Individual Testing, Factor Analysis, Structural Equation Models, Foreign Countries

Marsh, Herbert W.; Richards, Gary E. – Multivariate Behavioral Research, 1987
The factorial structure of the Rotter Internal-External (IE) scale was examined. While there was strong evidence against the unidimensionality of the Rotter scale, the findings suggested that the first-order factors do define a single higher-order construct that may represent the generalized IE construct. (Author/LMO)
Descriptors: Construct Validity, Factor Analysis, Factor Structure, Goodness of Fit
DeMars, Christine E. – Online Submission, 2005
Several methods for estimating item response theory scores for multiple subtests were compared. These methods included two multidimensional item response theory models: a bi-factor model where each subtest was a composite score based on the primary trait measured by the set of tests and a secondary trait measured by the individual subtest, and a…
Descriptors: Item Response Theory, Multidimensional Scaling, Correlation, Scoring Rubrics
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