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Savalei, Victoria – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Normal theory maximum likelihood (ML) is by far the most popular estimation and testing method used in structural equation modeling (SEM), and it is the default in most SEM programs. Even though this approach assumes multivariate normality of the data, its use can be justified on the grounds that it is fairly robust to the violations of the…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Maximum Likelihood Statistics
Wager, Walter – Educational Technology, 1976
Develops a heuristic device called the Formative Evaluation Outcomes Matrix that systematizes the data from three commonly used formative evaluation instruments for the purpose of diagnosing faults in products of the design process. (Author)
Descriptors: Evaluation Methods, Formative Evaluation, Instructional Design, Matrices
Hill, Richard K. – 1975
This study is an a priori demonstration of the applicability of multiple matrix sampling techniques to the practical research problem of parameter estimation. Three tests were administered to two separate but parallel populations, with one receiving item samples and the other receiving full tests. Special efforts were made to minimize the context…
Descriptors: Bias, Item Sampling, Matrices, Standardized Tests
Asparouhov, Tihomir; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Research Methodology
Peer reviewedMiller, John K. – Multivariate Behavioral Research, 1975
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Matrices
Goetzinger, Madelon R.; Houchins, Rollie R. – Amer Ann Deaf, 1969
Descriptors: Deafness, Exceptional Child Research, Hearing Impairments, Intelligence Tests
McBride, James R.; Weiss, David J. – 1975
A general purpose computer program for the calculation of a matrix of tetrachoric correlations is described. This program was developed for use in adaptive (and other) testing research for examining the unidimensionality assumption in latent trait theory, in conjunction with available factor analysis programs. Several other potential applications,…
Descriptors: Computer Programs, Correlation, Data Processing, Factor Analysis
Winn, William – 1976
New ways of using factor analysis in research designs are suggested in this paper that would allow research to move in new directions that are being suggested for educational technology. A brief simplified overview of factor-analytic techniques is given, followed by a description of some recent developments in factor-analytic techniques which make…
Descriptors: Educational Technology, Factor Analysis, Factor Structure, Matrices
Hamel, Ronald; Schmittmann, Verena D. – Educational and Psychological Measurement, 2006
The Raven Advanced Progressive Matrices Test (APM) is a well-known measure of higher order general mental ability. The time to administer the test, 40 to 60 minutes, is sometimes regarded as a drawback. To meet efficiency needs, the APM can be administered as a 30-or 40-minute timed test, or one of two developed short versions could be used. In…
Descriptors: Intelligence Tests, Cognitive Ability, Group Testing, Timed Tests
Peer reviewedCarlson, Jerry S.; Dillon, Ronna – Journal of Educational Measurement, 1979
The Matrices and Order of Appearance subtests of a Piagetian test battery were administered to a sample of second-grade children on two occasions under two test conditions: standardized testing and a dialogue between child and examiner. Differences for test condition and time of testing were found. (JKS)
Descriptors: Academic Achievement, Developmental Psychology, Developmental Stages, Individual Testing
Sauls, Judith M.; Larson, Robert C. – 1975
National data was obtained from 9-year-old, 13-year-old, 17-year-old, and 26 through 35-year-old populations in order to determine academic achievement in nine subject areas. For each age population, group data was calculated and reported by region, sex, color, parents' educational level, and size and type of community. The application of singular…
Descriptors: Academic Achievement, Age Differences, Community Characteristics, Demography
Tucker, Ledyard R.; And Others – 1986
A Monte Carlo study of five indices of dimensionality of binary items used a computer model that allowed sampling of both items and people. Five parameters were systematically varied in a factorial design: (1) number of common factors from one to five; (2) number of items, including 20, 30, 40, and 60; (3) sample sizes of 125 and 500; (4) nearly…
Descriptors: Correlation, Difficulty Level, Educational Research, Expectancy Tables
Ascher, Gordon – 1975
The increased use of criterion-referenced statewide testing programs is an outgrowth of the need for more diagnostic information for planning and decision making than is provided by norm-referenced programs. There remains, however, a need for state agencies to compare the results of local districts to a variety of comparison groups for the purpose…
Descriptors: Academic Achievement, Comparative Testing, Correlation, Criterion Referenced Tests

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