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Peer reviewed Peer reviewed
Sirotnik, Kenneth; Wellington, Roger – Journal of Educational Measurement, 1977
A single conceptual and theoretical framework for sampling any configuration of data from one or more population matrices is presented, integrating past designs and discussing implications for more general designs. The theory is based upon a generalization of the generalized symmetric mean approach for single matrix samples. (Author/CTM)
Descriptors: Analysis of Variance, Data Analysis, Item Sampling, Mathematical Models
Peer reviewed Peer reviewed
Hunter, John E. – Journal of Educational Measurement, 1973
Using the notion of parallel items this paper presents a family of new criteria for cluster analysis. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis
Peer reviewed Peer reviewed
D'Agostino, Ralph B. – Journal of Educational Measurement, 1971
Relations between standard statistical techniques for analyzing dichotomous data and ANOVA procedures are indicated. The need for usefulness of analyzing transformed data as opposed to direct analysis of dichotomous data are discussed. Required statistical procedures employing transformed data are outlined. (Author/AG)
Descriptors: Analysis of Variance, Data Analysis, Interaction, Sampling
Peer reviewed Peer reviewed
Ramos, Robert A.; Stern, June – Journal of Educational Measurement, 1973
The purpose of the present study was to determine whether a "natural" four-alternative multiple choice item represents the same psychological task as a five-choice item rescored as a four-choice item. (Author)
Descriptors: Data Analysis, Language Tests, Measurement, Multiple Choice Tests