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Dong, Nianbo; Lipsey, Mark – Society for Research on Educational Effectiveness, 2010
This study uses simulation techniques to examine the statistical power of the group- randomized design and the matched-pair (MP) randomized block design under various parameter combinations. Both nearest neighbor matching and random matching are used for the MP design. The power of each design for any parameter combination was calculated from…
Descriptors: Simulation, Statistical Analysis, Cluster Grouping, Mathematical Models
Peer reviewedCurry, David J. – Multivariate Behavioral Research, 1976
The purpose of this study is to develop statistical tests for within cluster homogeneity when objects are scored on binary variables. (DEP)
Descriptors: Cluster Grouping, Mathematical Models, Statistical Analysis
Lockley, J. Elaine – 1971
Reported are the results of a study designed to investigate and compare four cluster analytic procedures as potential methods for the analysis of educational data. A secondary objective was to determine whether or not there was some underlying multidimensional structure to a set of mathematics achievement data. The four clustering procedures (Ball…
Descriptors: Achievement, Cluster Grouping, Junior High School Students, Mathematical Models
PDF pending restorationWhite, Lee J.; And Others – 1975
The major advantage of sequential classification, a technique for automatically classifying documents into previously selected categories, is that the entire document need not be processed before it is classified. This method assumes the availability of a priori categories, a selection of keywords representative of these categories, and the a…
Descriptors: Algorithms, Automatic Indexing, Bayesian Statistics, Classification
Kar, B. Gautam; White, Lee J. – 1975
The feasibility of using a distance measure, called the Bayesian distance, for automatic sequential document classification was studied. Results indicate that, by observing the variation of this distance measure as keywords are extracted sequentially from a document, the occurrence of noisy keywords may be detected. This property of the distance…
Descriptors: Algorithms, Automatic Indexing, Bayesian Statistics, Classification


