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Murrow, Wayne – 1972
The purpose of this study was to generate descriptive statistical estimates regarding the expected proportion of occurrence of each of the PROANA 5 (Process Analysis) variables (line usage, clique group, detrimental clique group, leadership, and dominance) in small group communication. A second purpose was to determine the expected pattern of…
Descriptors: Communication (Thought Transfer), Group Dynamics, Interaction Process Analysis, Predictive Validity
Biggs, Jon S.; Whitehead, Gary R. – 1976
Five three-variable combinations were obtained from a variety of standardized test scores of 331 male children. These five groups were treated as unrestricted populations of the case III variety. Extreme univariate selection was produced in each group allowing for tests of differences between the correlation values of the two incidental variables…
Descriptors: Correlation, Data Analysis, Educational Testing, Elementary Secondary Education
Curtis, Ervin W. – 1976
The optimum weighting of variables to predict a dependent-criterion variable is an important problem in nearly all of the social and natural sciences. Although the predominant method, multiple regression analysis (MR), yields optimum weights for the sample at hand, these weights are not generally optimum in the population from which the sample was…
Descriptors: Correlation, Error Patterns, Factor Analysis, Matrices
Chromy, James R. – 2003
This study addressed statistical techniques that might ameliorate some of the sampling problems currently facing states with small populations participating in State National Assessment of Educational Progress (NAEP) assessments. The study explored how the application of finite population correction factors to the between-school component of…
Descriptors: Elementary Secondary Education, National Surveys, Sample Size, Sampling
Peer reviewedBrandenburg, Dale C.; Forsyth, Robert A. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Achievement Tests, Comparative Analysis, Item Sampling, Mathematical Models
Peer reviewedMercer, Jane R. – Harvard Educational Review, 1974
The author discusses the findings of an eight-year study in which she explored school and agency classification procedures for children based on standardized intelligence tests. (Editor)
Descriptors: Children, Civil Liberties, Definitions, Intelligence Quotient
Peer reviewedNovick, Melvin R.; And Others – Psychometrika, 1973
This paper develops theory and methods for the application of the Bayesian Model II method to the estimation of binomial proportions and demonstrates its application to educational data. (Author/RK)
Descriptors: Bayesian Statistics, Educational Testing, Mathematical Models, Measurement
Peer reviewedMandeville, Garrett K. – American Educational Research Journal, 1972
Results of this study suggest that certain kinds of treatment differences may be better uncovered by viewing test data in a repeated measures format. (Author/MB)
Descriptors: Data Analysis, Data Collection, Factor Structure, Mathematical Models
Peer reviewedWilcox, Rand R. – Applied Psychological Measurement, 1980
This paper discusses how certain recent technical advances might be extended to examine proficiency tests which are conceptualized as representing a variety of skills with one or more items per skill. In contrast to previous analyses, errors in the item level are included. (Author/BW)
Descriptors: Mastery Tests, Minimum Competencies, Minimum Competency Testing, Sampling
Peer reviewedHynes, Kevin; Givner, Nathaniel – Journal of Medical Education, 1981
Changes were studied that occur when the correlations between the six Medical College Admission Test scales and the scores on the Part I examination of the National Board of Medical Examiners are corrected for restriction of range. (MLW)
Descriptors: College Applicants, College Entrance Examinations, Control Groups, Higher Education
Peer reviewedPenfield, Douglas A.; Koffler, Stephen L. – Journal of Experimental Education, 1978
Three nonparametric alternatives to the parametric Bartlett test are presented for handling the K-sample equality of variance problem. The two-sample Siegel-Tukey test, Mood test, and Klotz test are extended to the multisample situation by Puri's methods. These K-sample scale tests are illustrated and compared. (Author/GDC)
Descriptors: Comparative Analysis, Guessing (Tests), Higher Education, Mathematical Models
Blumstein, Alfred; Cohen, Jacqueline – Evaluation Quarterly, 1979
Evaluations involving nonrandom assignment to treatment or control groups are vulnerable to an accidental or intentional confounding of a selection effect with the treatment effect. Two techniques, discriminant analysis and base expectancy analysis, permit separate estimation of the selection and treatment effects in the final results. (Author/CTM)
Descriptors: Comparative Analysis, Discriminant Analysis, Hypothesis Testing, Research Design
Peer reviewedMartin, Thomas W.; And Others – Journal of Black Studies, 1977
Logistic analysis of black journal articles suggests that black American publications have passed through cycles of intellectual interest." (Author/JM)
Descriptors: Blacks, Data Analysis, Mathematical Models, Publications
Peer reviewedAdams, David R. – Delta Pi Epsilon Journal, 1977
Discusses the application of the Kolmogorov-Smirnov two-sample tests, as an alternative to the Chi-square test, for survey research problems in business education and includes a computer program written for the convenience of researchers. The two-sample test is recommended for differentiating independent distributions. (MF)
Descriptors: Business Education, Computer Programs, Educational Research, Hypothesis Testing
Peer reviewedDey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology


