Descriptor
Cluster Analysis | 5 |
Cluster Grouping | 5 |
Classification | 3 |
Matrices | 2 |
Organization | 2 |
Reliability | 2 |
Validity | 2 |
Comparative Analysis | 1 |
Criteria | 1 |
Data Analysis | 1 |
Discriminant Analysis | 1 |
More ▼ |
Source
Educational and Psychological… | 5 |
Author
Frary, Jewel M. | 1 |
Guertin, Wilson H. | 1 |
Koch, Valerie L. | 1 |
Linden, James D. | 1 |
May, William H. | 1 |
McQuitty, Louis L. | 1 |
Mcquitty, Louis L. | 1 |
Rogers, Gil | 1 |
Tzeng, Oliver C. S. | 1 |
Publication Type
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Tzeng, Oliver C. S.; May, William H. – Educational and Psychological Measurement, 1979
A strategy for reordering the hierarchical tree structure is presented. While the order of terminal nodes of Johnson's procedure is arbitrary, this procedure will rearrange every triad of nodes under a common least upper node so that the middle node is nonarbitrarily closest to the anchored node. (Author/CTM)
Descriptors: Cluster Analysis, Cluster Grouping, Matrices, Multidimensional Scaling

Guertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis

Rogers, Gil; Linden, James D. – Educational and Psychological Measurement, 1973
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis

Mcquitty, Louis L.; Frary, Jewel M. – Educational and Psychological Measurement, 1971
Discussion of a method of classification which attempts to use the particular set of indices of association which produce the most reliable and valid solution. (PR)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Criteria

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