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| Merz, William R. | 1 |
| Wolfle, Lee M. | 1 |
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| Reports - Descriptive | 1 |
| Reports - Research | 1 |
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Wolfle, Lee M. – 1981
Whenever one uses ordinary least squares regression, one is making an implicit assumption that all of the independent variables have been measured without error. Such an assumption is obviously unrealistic for most social data. One approach for estimating such regression models is to measure implied coefficients between latent variables for which…
Descriptors: Computer Programs, Factor Analysis, Least Squares Statistics, Mathematical Models
Merz, William R. – 1980
Several methods of assessing test item bias are described, and the concept of fair use of tests is examined. A test item is biased if individuals of equal ability have different probabilities of attaining the item correct. The following seven general procedures used to examine test items for bias are summarized and discussed: (1) analysis of…
Descriptors: Comparative Analysis, Evaluation Methods, Factor Analysis, Mathematical Models


