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Direct linkFrench, Brian F.; Finch, W. Holmes – Educational and Psychological Measurement, 2013
Multilevel data structures are ubiquitous in the assessment of differential item functioning (DIF), particularly in large-scale testing programs. There are a handful of DIF procures for researchers to select from that appropriately account for multilevel data structures. However, little, if any, work has been completed to extend a popular DIF…
Descriptors: Test Bias, Statistical Analysis, Comparative Analysis, Correlation
Parker, Edwin B.; And Others – 1967
An examination of 500 citations in 17 behavioral science journals was made for four time periods: 1950, 1955, 1960 and 1965. Fewer journals were examined in the earlier periods because some of the journals began after 1950, 1955, or 1960. The citations were examined to find out what sources were cited by which journals in which proportions.…
Descriptors: Behavioral Sciences, Citations (References), Cluster Grouping, Communication (Thought Transfer)
Download full textSinclair, 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
Peer reviewedRadecki, Tadeusz – Information Processing and Management, 1985
Reports research results into a methodology for determining similarity between queries characterized by Boolean search request formulations and discusses similarity measures for Boolean combinations of index terms. Rationale behind these measures is outlined, and conditions ensuring their equivalence are identified. Results of an experiment…
Descriptors: Cluster Grouping, Correlation, Indexing, Information Retrieval
Talbott, Albert D. – 1971
The development of Q methodology is briefly reviewed, and the methodology itself is briefly described. Finally, a number of the issues are raised relating to the use of Q. Q methodology can have fruitful applications if it is not used indescriminately. Appropriate use of Q requires careful attention to the way the problems being researched are…
Descriptors: Attitude Measures, Attitudes, Behavioral Science Research, Cluster Grouping
SALTON, GERALD – 1967
THE TWELFTH IN A SERIES COVERING RESEARCH IN AUTOMATIC STORAGE AND RETRIEVAL, THIS REPORT IS DIVIDED INTO THREE PARTS TITLED EVALUATION, CLUSTER SEARCHING, AND USER FEEDBACK METHODS, RESPECTIVELY. THE FIRST PART, EVALUATION, CONTAINS A COMPLETE SUMMARY OF THE RETRIEVAL RESULTS DERIVED FROM SOME SIXTY DIFFERENT TEXT ANALYSIS EXPERIMENTS. IN EACH…
Descriptors: Cluster Grouping, Computational Linguistics, Correlation, Evaluation Methods
