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Cherukupalle, Nirmala devi | 1 |
Gray, William M. | 1 |
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Huberty, Carl J. | 1 |
Levine, Daniel U. | 1 |
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Veldman, Donald J. | 1 |
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Huberty, Carl J. – 1971
This study was concerned with various schemes for reducing the number of variables in a multivariate analysis. Two sets of illustrative data were used; the numbers of criterion groups were 3 and 5. The proportion of correct classifications was employed as an index of discriminatory power of each subset of variables selected. Of the four procedures…
Descriptors: Cluster Analysis, Correlation, Criteria, Discriminant Analysis
Gray, William M.; Hofmann, Richard J. – 1969
Most responses to educational and psychological test items may be represented in binary form. However, such dichotomously scored items present special problems when an analysis of correlational interrelationships among the items is attempted. Two general methods of analyzing binary data are proposed by Horst to partial out the effects of…
Descriptors: Algorithms, Analysis of Covariance, Cluster Analysis, Cluster Grouping
Veldman, Donald J. – 1978
PRIME is a library of 44 batch-oriented computer routines: 20 major package programs, which use 12 statistical utility routines, and 12 other utility routines for input/output and data manipulation. This manual contains a general description of data preparation and coding, standard control cards, input deck arrangement, standard options, and…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Programs, Correlation
Cherukupalle, Nirmala devi – 1970
This bibliography contains works that illustrate and apply multivariate statistical methods in the analysis of empirical data in the field of urban and regional planning. The bibliography has been designed for use by planning students and the professional planner. The first section of the bibliography lists some elementary and intermediate level…
Descriptors: Analysis of Covariance, Analysis of Variance, Annotated Bibliographies, Bibliographies
Meyer, Jeanie Keeny; Levine, Daniel U. – 1977
Just as urban ecologists have shown that social behavior such as delinquency is related to spatial patterns, educational achievement should logically be related to socio-spatial patterns. Accordingly, the hypothesis of the present study is that school neighborhoods can be ecologically grouped so as to enhance the prediction of achievement. The…
Descriptors: Academic Achievement, Cluster Analysis, Community Characteristics, Ecology