The Use of Multiple Matrix Sampling to Approximate Norms Distributions
An Empirical Comparison of two Models
Bibliographic Data
| ID | 20286188 |
|---|---|
| Authors | Dale C Brandenburg (University of Illinois Urbana-Champaign), Robert A Forsyth (University of Iowa) |
| Year | 1974 |
| Volume | 34 |
| Issue | 3 |
| Pages | 475-486 |
| Publication date | 1974-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316447403400301 |
| OpenAlex | W2094118192 |
| Language | EN |
| References cited | 7 |
Multiple matrix sampling (MMS) procedures were utilized to determine the necessary parameters of a Pearson Type I curve. Empirical norms distributions were approximated by both the Type I model and the negative hypergeometric model. Four existing ITED norms distributions, two subtests and two grades, were approximated by the MMS procedures. Two sampling designs for each test-grade combination were studied. Comparison of approximations obtained for the Type I curve and the negative hypergeometric curve supported the use of the Type I curve for determining test score distributions of large populations. (Author) 0
Econometrics · Matrix (chemical analysis) · Sampling (signal processing) · Statistics · Applied Mathematics · Computer Science · Mathematics · Psychology · Statistical Methods and Bayesian Inference
| Highly cited | No |
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