TESTING FOR FAIRNESS WITH A MODERATED MULTIPLE REGRESSION STRATEGY: AN ALTERNATIVE TO DIFFERENTIAL ANALYSIS

Autor:	Robert Hannan, C. J. Bartlett, Steven B. Mosier, Philip Bobko
Rok vydání:	1978
Předmět:	Correlation Organizational Behavior and Human Resource Management Linear regression Statistics Regression dilution Econometrics Cross-sectional regression Bivariate analysis Segmented regression Regression diagnostic Applied Psychology Regression Mathematics
Zdroj:	Personnel Psychology. 31:233-241
ISSN:	1744-6570 0031-5826
Popis:	It is argued that analyses of subgroup differences utilizing a bivariate correlation strategy do not provide an adequate examination of test fairness. An analysis of differential prediction, which involves slopes and intercepts of regression lines results in more complete coverage of the test fairness issue, since the overall regression line determines the way in which a test is used for prediction. While subgroup correlation coefficients yield information concerning the slopes and intercepts, means and standard deviations must also be examined. A moderated multiple regression strategy is recommended as an alternative to separate analyses by subgroups. An ordered step-up regression procedure is presented which is more encompassing than the bivariate strategies, while avoiding inherent problems associated with subgroup coding in multiple regression.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f55460c82793cdcfb5bd6b100d6be124 https://doi.org/10.1111/j.1744-6570.1978.tb00442.x Zobrazit plný text záznamu Plný text ve formátu PDF