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Batagelj, Vladimir – Psychometrika, 1981
Milligan presented the conditions that are required for a hierarchical clustering strategy to be monotonic, based on a formula by Lance and Williams. The statement of the conditions is improved and shown to provide necessary and sufficient conditions. (Author/GK)
Descriptors: Cluster Analysis, Mathematical Models, Multidimensional Scaling

van Buuren, Stef; Heiser, Willem J. – Psychometrika, 1989
A method based on homogeneity analysis (multiple correspondence analysis or multiple scaling) is proposed to reduce many categorical variables to one variable with "k" categories. The method is a generalization of the sum of squared distances cluster analysis problem to the case of mixed measurement level variables. (SLD)
Descriptors: Cluster Analysis, Mathematical Models, Multidimensional Scaling, Statistical Analysis

Rodgers, Joseph Lee; Thompson, Tony D. – Applied Psychological Measurement, 1992
A flexible data analysis approach is proposed that combines the psychometric procedures seriation and multidimensional scaling. The method, which is particularly appropriate for analysis of proximities containing temporal information, is illustrated using a matrix of cocitations in publications by 18 presidents of the Psychometric Society.…
Descriptors: Citations (References), Cluster Analysis, Mathematical Models, Matrices

Sireci, Stephen G.; Geisinger, Kurt F. – Applied Psychological Measurement, 1992
A new method for evaluating the content representation of a test is illustrated. Item similarity ratings were obtained from three content domain experts to assess whether ratings corresponded to item groupings specified in the test blueprint. Multidimensional scaling and cluster analysis provided substantial information about the test's content…
Descriptors: Cluster Analysis, Content Analysis, Multidimensional Scaling, Multiple Choice Tests
Diekhoff, George M.; Wigginton, Phil – 1982
In recent years, there has been increasing interest in finding ways of promoting and evaluating structural knowledge (knowledge of how ideas, events, and principles are interrelated). Research has demonstrated that students' numerical judgments of the strength of relatedness among ideas drawn from a domain provide insights into how they have…
Descriptors: Classroom Techniques, Cluster Analysis, Cognitive Measurement, Cognitive Style
Enright, Mary K.; Oltman, Philip K. – 1996
Multidimensional scaling and cluster analysis were used to describe and categorize tasks from six graduate disciplines including academic psychology, applied psychology, English literature, journalism, physics, and electrical engineering. A sample of task descriptions was constructed through interviews with four or five graduate students from each…
Descriptors: Cluster Analysis, Graduate Students, Graduate Study, Higher Education
Reckase, Mark D. – 1981
One of the major assumptions of latent trait theory is that the items in a test measure a single dimension. This report describes an investigation of procedures for forming a set of items that meet this assumption. Factor analysis, nonmetric multidimensional scaling, cluster analysis and latent trait analysis were applied to simulated and real…
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Guessing (Tests)

Trochim, Wilham M. K. – Evaluation Review, 1985
Two quasiexperimental designs--nonequivalent dependent variable and reversed treatment designs--illustrate pattern matching logic as a basis for evaluation, examining college health services. Three pattern matches are significant: (1) program pattern match indicates implementation; (2) measurement match assesses test validity; and (3) effect…
Descriptors: Cluster Analysis, Evaluation Methods, Higher Education, Hypothesis Testing

Sireci, Stephen G.; Geisinger, Kurt F. – Applied Psychological Measurement, 1995
An expanded version of the method of content evaluation proposed by S. G. Sireci and K. F. Giesinger (1992) was evaluated with respect to a national licensure examination and a nationally standardized social studies achievement test. Two groups of 15 subject-matter experts rated the similarity and content relevance of the items. (SLD)
Descriptors: Achievement Tests, Cluster Analysis, Construct Validity, Content Validity
Schwartz, Terrence J. – 1990
Critical review of previous techniques for the measurement of an individual's self-concept (SC) is a necessary prelude to the development of more adequate methodologies. This paper focuses on recent methodological innovations in the study of the self, namely, those derived from cognitive social psychology. A view of the self as a cognitive…
Descriptors: Cluster Analysis, Cognitive Psychology, Cognitive Structures, Individual Differences

Miller, Timothy R.; Hirsch, Thomas M. – Applied Measurement in Education, 1992
A procedure for interpreting multiple-discrimination indices from a multidimensional item-response theory analysis is described and demonstrated with responses of 1,635 high school students to a multiple-choice test. The procedure consists of converting discrimination parameter estimates to direction cosines and analyzing the angular distances…
Descriptors: Ability, Cluster Analysis, Comparative Analysis, Estimation (Mathematics)
Sireci, Stephen G.; Geisinger, Kurt – 1993
Various methods used to assess the content of a test are reviewed, and a new procedure designed to improve on these methods is presented. The two tests considered are a professional licensure examination, the auditing section of the Uniform Certified Public Accountant Examination, and an educational achievement test, a nationally standardized…
Descriptors: Achievement Tests, Certified Public Accountants, Cluster Analysis, Content Analysis