Sex bias in college faculty salaries is examined in this book. Part 1 contains the following four chapters on the use of multiple regression to detect and estimate sex bias in salaries: "The Assessment of Salary Equity: A Methodology, Alternatives, and a Dilemma" (Thomas R. Pezzullo and Barbara E. Brittingham); "Detection of Sex-Related Salary Discrimination: A Demonstration Using Constructed Data" (P. Kenneth Morse); "Salary Differences among University Faculty and Their Implications" (Barbara Hauben Tuckman); and "A Generalized Multiple Regression Model for Predicting College Faculty Salaries and Estimating Sex Bias" (Glenworth A. Ramsay). Part 2 presents five case studies in salary equity: "Effects of Statewide Salary Equity Provisions on Institutional Salary Policies: A Regression Analysis" (Mary P. Martin and John D. Williams); "Equal Pay for Equal Qualifications? A Model for Determining Race or Sex Discrimination in Salaries" (John A. Muffo, Larry Braskamp, and Ira W. Langston, IV); "A Method for Monitoring University Faculty Salary Policies for Sex Bias" (Larry O. Hunter); "Salary Inequities and Differences: One College's Attempt at Identification and Adjustment" (Robert E. Wall); and "A Multiple Regression Model for Predicting Men's and Women's Salaries in Higher Education" (Barbara Brittingham et al.). In Part 3 some dissenting views on multiple regression and statistical analysis are presented: "Procedures for the Detection and Correction of Salary Inequities" (Michael H. Birnbaum) and "The Idiosyncratic Determiners of Salary Differences" (John V. Long). A faculty salary interview questionnaire is appended. (PHR)