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Showing 61 to 75 of 139 results Save | Export
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Keating, Daniel P. – Educational and Psychological Measurement, 1975
Descriptors: Children, Exceptional Child Education, Gifted, Research Methodology
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James, Lawrence R.; Tetrick, Lois E. – Educational and Psychological Measurement, 1984
An analytic procedure is presented for testing the homogeneity of unstandardized regression weight vectors when the vectors are correlated. The basic design involves repeated measurements on a dependent variable and a set of independent variables. The method is illustrated with a study of perceived leader behavior. (Author/BW)
Descriptors: Correlation, Leadership, Mathematical Models, Regression (Statistics)
Peer reviewed Peer reviewed
Oosterhof, Albert C.; And Others – Educational and Psychological Measurement, 1984
A supplementary treatment is proposed which helps identify sources of bias affecting groups of test items. This treatment is illustrated with the tranformed item-difficulty method as applied to an evaluation of a test used to help select applicants to be admitted to an aviation training program. (Author/BW)
Descriptors: Adults, Aptitude Tests, Difficulty Level, Graphs
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Humphreys, Lloyd G.; Taber, Thomas – Educational and Psychological Measurement, 1973
Descriptors: Comparative Analysis, Factor Analysis, Mathematical Applications, Measurement Techniques
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Andrews, Frank M.; Pelz, Donald C. – Educational and Psychological Measurement, 1973
Ford's procedure is likely to be useful whenever one wants to achieve a single rank order by combining data obtained from multiple judges'' who have placed objects'' into ordered categories. (Authors)
Descriptors: Computer Programs, Mathematical Applications, Measurement Techniques, Research Methodology
Peer reviewed Peer reviewed
McQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Criteria, Data Analysis
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Marascuilo, Leonard A.; Dagenais, Fred – Educational and Psychological Measurement, 1982
Social science researchers tend to analyze two dimensional frequency tables using Pearson's Chi-square test, which can be improved upon if the dependent variable represents an ordered qualitative characteristic. An improved modification by the Kruskal-Wallis analysis of variance on ranks is shown for a planned and post hoc analysis. (Author/CM)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Social Science Research
Peer reviewed Peer reviewed
Aiken, Lewis R. – Educational and Psychological Measurement, 1994
Three dozen observations and recommendations concerning the activities of research consultants in the behavioral sciences are listed and discussed. These guidelines, some stated as aphorisms, are discussed in the categories of planning; implementation; analysis; interpretation; and reporting. (Author/SLD)
Descriptors: Behavioral Sciences, Data Analysis, Data Interpretation, Guides
Peer reviewed Peer reviewed
McCarroll, David; And Others – Educational and Psychological Measurement, 1992
Monte Carlo simulations were used to examine three cases using analyses of variance (ANOVAs) sequentially. Simulation results show that Type I error rates increase when using ANOVAs in this sequential fashion, and the detrimental effect is greatest in situations in which researchers would most likely use ANOVAs sequentially. (SLD)
Descriptors: Analysis of Variance, Computer Simulation, Measurement Techniques, Monte Carlo Methods
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Arthur, Winfred, Jr.; And Others – Educational and Psychological Measurement, 1994
Effects of choice of data analysis program on outcomes of meta-analysis were studied by considering the extent to which four commonly used Schmidt and Hunter validity generalization-based meta-analytic software programs produce identical outcomes. Differences were minor and did not influence outcomes. (SLD)
Descriptors: Computer Software, Data Analysis, Educational Research, Generalization
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Whittington, Dale – Educational and Psychological Measurement, 1998
This study describes how much and in what ways authors of research studies fail to include adequate information about data collection. Results based on analysis of 220 articles from 22 journals show that the quality of measurement reporting continues to be a problem. (SLD)
Descriptors: Data Collection, Educational Research, Measurement Techniques, Research Methodology
Peer reviewed Peer reviewed
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Pierce, Charles A.; Block, Richard A.; Aguinis, Herman – Educational and Psychological Measurement, 2004
The authors provide a cautionary note on reporting accurate eta-squared values from multifactor analysis of variance (ANOVA) designs. They reinforce the distinction between classical and partial eta-squared as measures of strength of association. They provide examples from articles published in premier psychology journals in which the authors…
Descriptors: Statistical Analysis, Research Methodology, Effect Size, Evaluation Methods
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Lienert, Gustav A.; Oeveste, Hans Zur – Educational and Psychological Measurement, 1988
Configurational frequency analysis is suggested as a technique for longitudinal research in educational psychology. Testing for types of change of ratings (grades) and for ratings of change is illustrated by data from three courses in statistics from a cohort of 128 students at Marburg University in West Germany. (TJH)
Descriptors: Achievement Rating, Change, College Students, Educational Psychology
Peer reviewed Peer reviewed
Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Procedures are described for determining the statistical significance of a set of ratings made on bidirectional (B) scales. B and its statistical significance can be determined on samples of items or raters. The statistical significance of a mean of B values can be assessed by applying a normal approximation test. (Author/DWH)
Descriptors: Higher Education, Rating Scales, Research Methodology, Scoring
Peer reviewed Peer reviewed
Shine, II, Lester C.; Stoup, Charles M. – Educational and Psychological Measurement, 1985
A method requiring minimal computational effort is presented for transforming ordered residuals for purposes of testing the correctness of a regression model. The method maintains the same logical ordering in the transformed residuals as that of the original residuals and is suitable for either correlated or uncorrelated data. (Author/BS)
Descriptors: Least Squares Statistics, Mathematical Models, Regression (Statistics), Research Methodology
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