Descriptor
Cluster Grouping | 4 |
Matrices | 3 |
Organization | 3 |
Classification | 2 |
Reliability | 2 |
Validity | 2 |
Analysis of Variance | 1 |
Cluster Analysis | 1 |
Comparative Analysis | 1 |
Data Analysis | 1 |
Factor Analysis | 1 |
More ▼ |
Author
McQuitty, Louis L. | 4 |
Koch, Valerie L. | 2 |
Publication Type
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
McQuitty, Louis L. – Educ Psychol Meas, 1970
A method is described for bifurcating a matrix of objects into two submatrices such that the sum of average deviations of the members from the central tendencies of the two submatrices is minimized. Illustrations of the procedure are included. (DG)
Descriptors: Classification, Cluster Grouping, Groups, Organization

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

McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1976
A relatively reliable and valid hierarchy of clusters of objects is plotted from the highest column entries, exclusively, of a matrix of interassociations between the objects. Having developed out of a loose definition of types, the method isolates both loose and highly definitive types, and all those in between. (Author/RC)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis

McQuitty, Louis L. – Educational and Psychological Measurement, 1976
A method of analysis is developed which accounts for whatever variance is present in the responses to test items, additive, configural or the two combined. The method is applied to successive column matrices which report frequencies or endorsements by categories of subjects to answer alternative sets of test items. Approaches are included which…
Descriptors: Analysis of Variance, Cluster Grouping, Factor Analysis, Individual Characteristics