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Rudner, Lawrence M.; Guo, Fanmin – Journal of Applied Testing Technology, 2011
This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…
Descriptors: Adaptive Testing, Instructional Systems, Item Response Theory, Computer Assisted Testing

Yu, C. T. – Journal of the American Society for Information Science, 1976
A measure for the quantification of the changes in classification under small changes in data is proposed. (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Information Retrieval

McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1975
Develops and illustrates a method for clustering hierarchically the interrelationships between many persons, as represented in a matrix of a thousand by a thousand. (RC)
Descriptors: Classification, Cluster Grouping, Matrices, Measurement Techniques
Harman, Harry H. – 1971
This is a methodological study that suggests a taxometric technique for objective classification of yeasts. It makes use of the minres method of factor analysis and groups strains of yeast according to their factor profiles. The similarities are judged in the higher-dimensional space determined by the factor analysis, but otherwise rely on the…
Descriptors: Classification, Cluster Grouping, Factor Analysis, Food Standards
Sinclair, Bill; Manderscheid, Lester V. – 1974
Eleven indexes of rurality and their effect on the classification of Michigan's 83 counties were investigated. The indexes were based on different concepts of rurality: (1) percent of employment in agriculture, fishing, and forestry; (2) population density and distance to urban centers; and (3) economic conditions. Index rankings were compared to…
Descriptors: Agriculture, Classification, Cluster Grouping, Comparative Analysis
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

Truex, Gregory F. – Journal of Cross-Cultural Psychology, 1977
Variations in sorts of rural Mexican-Spanish "have" verbs were analyzed using two approaches: one which measures subject differences from a standard categorization, and another which directly compares pairs of individual subject's sorts. "The second approach revealed a consistent structure for a subset of the subjects not revealed…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Cognitive Processes
Cunningham, J. W. – 1971
This monograph has four main objectives: (1) to define the field of ergometrics, (2) to identify some potential applications of ergometrics to problems in occupational or career education, (3) to review the relevant research literature, and (4) to suggest some conceptual approaches that might be used in conjunction with ergometric procedures.…
Descriptors: Career Development, Career Education, Classification, Cluster Grouping