Descriptor
| Algorithms | 4 |
| Computer Software | 4 |
| Microcomputers | 3 |
| Input Output | 2 |
| Cluster Analysis | 1 |
| Mathematical Models | 1 |
| Nonparametric Statistics | 1 |
| Programing Languages | 1 |
| Sampling | 1 |
| Scaling | 1 |
| Statistical Significance | 1 |
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Source
| Educational and Psychological… | 4 |
Author
| Berry, Kenneth J. | 1 |
| Dreger, Ralph Mason | 1 |
| Gose, Kenneth C. | 1 |
| Kingma, Johannes | 1 |
| Mielke, Paul W., Jr. | 1 |
| Powers, Stephen | 1 |
| Reuvekamp, Johan | 1 |
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| Journal Articles | 4 |
| Reports - Descriptive | 4 |
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Peer reviewedPowers, Stephen; Gose, Kenneth C. – Educational and Psychological Measurement, 1986
A BASIC computer program is described which computes the Stuart-Maxwell test with its chi-square value and associate probability level. Following a significant chi-square test, the user has the option of performing multiple comparisons using McNemar's test for the significance of change. (Author)
Descriptors: Algorithms, Computer Software, Input Output, Microcomputers
Peer reviewedDreger, Ralph Mason – Educational and Psychological Measurement, 1986
This paper describes a set of four BASIC computer programs for computing the Rand index of cluster similarity. The routines calculate the unadjusted Rand Index; the separate routines are designed to handle problems of different sizes and alternate methods of data storage. (Author)
Descriptors: Algorithms, Cluster Analysis, Computer Software, Microcomputers
Peer reviewedBerry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1986
An algorithm and associated FORTRAN-77 computer subroutine are described for computing Goodman and Kruskal's tau-b statistic along with the associated nonasymptotic probability value under the null hypothesis tau=O. (Author)
Descriptors: Algorithms, Computer Software, Programing Languages, Sampling
Peer reviewedKingma, Johannes; Reuvekamp, Johan – Educational and Psychological Measurement, 1986
A description of a Mokken test program to test the robustness of nonparametric Stochastic scales is presented. For each sample and the whole population, different scale statistics (both on scale and on item level) are computed recursively. A statistic T is presented for testing the robustness of the scales in the samples. (Author)
Descriptors: Algorithms, Computer Software, Input Output, Mathematical Models
