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| Error of Measurement | 1 |
| Nonparametric Statistics | 1 |
| Regression (Statistics) | 1 |
| Reliability | 1 |
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| Osborne, Jason W. | 1 |
| Waters, Elaine | 1 |
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Download full textOsborne, Jason W.; Waters, Elaine – 2002
This Digest presents a discussion of the assumptions of multiple regression that is tailored to the practicing researcher. The focus is on the assumptions of multiple regression that are not robust to violation, and that researchers can deal with if violated. Assumptions of normality, linearity, reliability of measurement, and homoscedasticity are…
Descriptors: Error of Measurement, Nonparametric Statistics, Regression (Statistics), Reliability
