Background: Youth programs often rely on self-reported data without clear evidence as to the accuracy of these reports. Although the validity of self-reporting has been confirmed among some high school and college age students, one area that is absent from extant literature is a serious investigation among younger children. Moreover, there is…

The determinants of Scholastic Aptitude Test scores are estimated for 1982 in a regression analysis correcting for the proportion of students taking the test. Schooling variables and statewide graduation standards proved insignificant. Demographic variables (family size and education levels) proved significant and help explain SAT score decline in…

Identification, by regression analysis, of systematic salary discrimination against women faculty is possible and may suffice to induce institutions to make a commitment to an equitable salary structure. The uses of this analysis method and its results are discussed. (MSE)

Discusses the use of pocket calculators for the computation of a line by the least-square-fitting method. The method is exemplified with a classical student experiment. (HM)

This paper examines the use of statistical evidence, specifically regression analysis, in employment discrimination cases on college and university cases. Sections of the paper provide the following: (1) a description of regression analysis focusing on the specific features that make it appropriate for use in discrimination lawsuits; (2) a review…

This study of faculty stress used data from the Higher Education Research Institute (HERI) survey administrated in the 1992-93 academic year. The total data set includes survey information from more than 43,000 faculty at nearly 300 higher education institutions in the United States. For this study, data for 29,064 full-time teaching faculty were…

Maintains that there is an inconsistency in the regression analysis of the data presented in Maureen J. Lage and Michael Treglia's 1996 article, "The Impact of Integrating Scholarship on Women into Introductory Economics." The authors admit the error, correct it, and report no difference in their original conclusions. (MJP)

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)