A Theoretical Note on the Stochastics of Moderated Multiple Regression
| Autor: | John Tisak, Sebastiano A. Fisicaro |
|---|---|
| Rok vydání: | 1994 |
| Předmět: |
Multivariate analysis
Stochastic process Applied Mathematics 05 social sciences 050401 social sciences methods 050301 education Regression analysis Predictor variables Moderation Education 0504 sociology Linear regression Statistics Developmental and Educational Psychology Econometrics Probability distribution 0503 education Random variable Applied Psychology Mathematics |
| Zdroj: | Educational and Psychological Measurement. 54:32-41 |
| ISSN: | 1552-3888 0013-1644 |
| Popis: | An examination of the stochastics of moderated multiple regression (MMR) reveals that MMR is an appropriate technique when predictors are fixed variables (i.e., values of predictor variables are selected) and the distribution of errors is normal but is not an appropriate technique when predictors are random variables (i.e., values of predictor variables are obtained through random sampling) and the joint distribution of criterion and predictor variables is multivariate normal. The forner situation is characteristic of experimental research, whereas the latter situation is characteristic of observational studies. Thus findings of negligible moderator effects in observational research may be due to inappropriate application of MMR to situations in which predictors should be viewed as random variables. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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