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Haase, Richard F. – Educational and Psychological Measurement, 1986
This paper describes a BASIC computer program that computes power for any combination of effect size, degrees of freedom for hypothesis, degrees of freedom for error, and alpha level. As a consequence of the algorithm, an approximation to the critical value of the Bonferroni F-test is also computed. (Author/JAZ)
Descriptors: Analysis of Variance, Effect Size, Error of Measurement, Input Output
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Cahan, Sorel – Educational and Psychological Measurement, 1986
This paper points out the logical, theoretical, and statistical problems associated with the computation of the "pooled-within" correlation coefficient in partially segregated educational systems. (Author/LMO)
Descriptors: Correlation, Educational Research, Heterogeneous Grouping, Homogeneous Grouping
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de Leeuw, Jan; Verhelst, Norman – Journal of Educational Statistics, 1986
Maximum likelihood procedures are presented for a general model to unify the various models and techniques that have been proposed for item analysis. Unconditional maximum likelihood estimation, proposed by Wright and Haberman, and conditional maximum likelihood estimation, proposed by Rasch and Andersen, are shown as important special cases. (JAZ)
Descriptors: Algorithms, Estimation (Mathematics), Item Analysis, Latent Trait Theory
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Mislevy, Robert J. – Psychometrika, 1986
This article describes a Bayesian framework for estimation in item response models, with two-stage distributions on both item and examinee populations. Strategies for point and interval estimation are discussed, and a general procedure based on the EM algorithm is presented. (Author/LMO)
Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Latent Trait Theory
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Muthen, Bengt; Lehman, James – Journal of Educational Statistics, 1985
The applicability of a new multiple-group factor analysis of dichotomous variables is shown and contrasted with the item response theory approach to item bias analysis. Situations are considered where the same set of test items has been administered to more than one group of examinees. (Author/BS).
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Mathematical Models
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Brokken, Frank B. – Psychometrika, 1983
Procedures for assessing the invariance of factors across data sets often use the least squares criterion, which appears to be too restrictive. Tucker's coefficient of congruence is proposed as an alternative. A method that maximizes the sum of the coefficients of congruence between two matrices of loadings is presented. (Author/JKS)
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Least Squares Statistics
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Vijn, Peter – Psychometrika, 1983
The use of Bayesian theory to connect ordinal data and ordered scale points with the theory of order statistics is presented. Exact and approximate multivariate and marginal densities for the scale points are derived. (Author/JKS)
Descriptors: Bayesian Statistics, Data Analysis, Latent Trait Theory, Measurement
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Akemann, Charles A.; And Others – Journal of Educational Statistics, 1983
Generally, this paper aims to: (1) provide clarification, quantification, and some mathematical analysis to the statistical problem of restricted range in a college admissions situation; and (2) discuss various questions related to the problem of selection strategies. (Author/PN)
Descriptors: Admission Criteria, College Admission, Correlation, Higher Education
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Wilcox, Rand R. – Psychometrika, 1983
A procedure for determining the reliability of an examinee knowing k out of n possible multiple choice items given his or her performance on those items is presented. Also, a scoring procedure for determining which items an examinee knows is presented. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Measurement Techniques, Multiple Choice Tests
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Featherman, David L.; Hauser, Robert M. – American Journal of Sociology, 1976
Comparison of black and white men in the experienced civilian labor force between 1972 and 1973 shows that race and class have become less important in the occupational hierarchy. Statistical tables are included. (ND)
Descriptors: Labor Force, Laborers, Racial Balance, Racial Distribution
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Burns, Edward – Psychology in the Schools, 1976
The relation between average deviation, as determined using the Illinois Test of Psycholinguistic Abilities, and Stanford-Binet intelligence scores was examined using a preschool sample. Results revealed a curvilinear relation between total average deviation and Stanford-Binet intelligence scores. Use of average deviation as an index of…
Descriptors: Intelligence Tests, Learning Disabilities, Measurement Techniques, Preschool Children
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City Coll. of San Francisco, CA. Office of Institutional Research, Planning and Grants. – 1999
This document contains statistical demographic information describing the gender, age, and ethnicity of the 57,772 students enrolled at City College of San Francisco (CCSF) during the fall 1997 semester, as well as the ethnicity of the faculty, classified staff and administrators working at CCSF at that time. The report includes 1996 figures for…
Descriptors: Community Colleges, Diversity (Faculty), Diversity (Institutional), Diversity (Student)
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Ackley, Paul R.; Nardello, Robert A. – Journal of the American Society for Information Science, 1973
The mini-computer is found to be a viable alternative to large computer bio-medical information processing. (Author/RS)
Descriptors: Computer Storage Devices, Data Processing, Information Retrieval, Matrices
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Neyman, Jerzy – Bulletin of the Atomic Scientists, 1973
Reviews the Sixth Berkeley Symposium on Mathematical Statistics and Probability, in which participants sought to establish a realistic cross-section of contemporary statistical thinking about the effects of pollution on health. Present information of health effects of pollutants is fragmental, and further studies are urgently required for…
Descriptors: Conference Reports, Environmental Education, Health, Pollution
Shockley, William – Phi Delta Kappan, 1972
Rebuttal to Gage's view that the elimination of racial differences depends on education, not on eugenics. (MF)
Descriptors: Biological Influences, Environmental Influences, Ethnic Studies, Genetics
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