Osborne and Waters (2002) focused on checking some of the assumptions of multiple linear regression. In a critique of that paper, Williams, Grajales, and Kurkiewicz correctly clarify that regression models estimated using ordinary least squares require the assumption of normally distributed errors, but not the assumption of normally distributed…

Regression formulations and related concerns involved in dealing with wage discrimination suits involving college faculty are considered. Several models based in hypothesis testing "policy capturing" uses of multiple linear regression are presented, and problems related to the court's view of statistical significance are examined.…

Correlational methods are compared to an alternative method based on decision theory and logistic regression for providing validity evidence for college admissions and course placement criteria. The advantages and limitations of both methods are examined. The correlation coefficient measures the strength of the linear statistical relationship…

This book presents the results of 15 years of input-output (I-O) research on schooling effectiveness. The I-O approach identifies and measures the inschool and out-of-school factors that contribute to schooling outcomes, especially reading skills and verbal and mathematics achievement. Five categories of inputs are reviewed in this textbook: (1)…