The purpose of this paper is to illuminate the advantages of path analysis for the exposition of results in data analytic papers. Probably the greatest advantage is that it provides a means by which the nature of the problem may be handily summarized. The method of path analysis, although conceived over sixty years ago by Sewell Wright, has only…

A general procedure is presented for generating code values for a qualitative variable in multiple linear regression analyses that result in directly interpretable estimates of interest. The basic approach, in viewing ANOVA as a multiple regression problem, is to derive quantitative code values for the various levels of the qualitative ANOVA…

Data from 80 junior high school students who completed the Assessment of Language and Reading Maturity (ALARM) test battery were used to delineate elements within the concept of mature reading comprehension. Stepwise multiple regression analyses were performed on the 15 ALARM test factors to isolate both the principal elements and the "trace…

The efficacy of a variety of selection measures in predicting successful performance in Air Force physician assistant training were investigated. Variables identified for the analysis of 51 subjects (graduates of the Air Force program) were: Scholastic Aptitude Test (SAT, combined verbal and mathematics composites), Airman Qualifying Examination…

The process of selecting applicants for admission to a new school of medicine (Southern Illinois University School of Medicine) is examined through the use of multivariate regression techniques. More than 250 variables were analyzed and classified as to source of data: student American Medical College Application Service (AMCAS) application,…

Using data originally report by others, this paper focuses on the relative merits of three separate statistical approaches to measuring occupational sex discrimination. The sample was a national probability sample of 539 women and 993 men. Demographic factors such as race, sex and age, education, job tenure and supervisory status served as the…

This paper describes an adaptation of Dyer's regression model that uses data on individual students in an attempt to isolate the influence of different schools on variations in student achievement growth. This procedure involves comparing the results of a multiple regression analysis of individual student achievement scores and several…

Failure to identify and account for the effect of moderator variables is an important reason for the low explanatory power of much educational research. Pre-existing subgroups such as sex, ethnicity, and curriculum offer an easily identifiable and theoretically meaningful source of moderator variables. Tests for intercept and slope differences in…

In the context of the rapid technological advance characteristic of post-industrial societies, organizational theorists have paid a great deal of attention to the problem of organizational change. One of the central issues in various analyses of the problem of change in general has been the observation that all organizations do not respond to…

An investigation was undertaken of the intercorrelations among residuals obtained by applying regression techniques under two conditions: (1) mean sixth-grade Metropolitan Achievement Test reading scores predicted by mean second-grade Stanford Achievement Test reading scores, and (2) mean sixth-grade reading scores predicted by mean second-grade…

The feasibility and effectiveness of a Bayesian method for estimating regressions in m groups is studied by application of the method to data from the Basic Research Service of The American College Testing Program. Evidence supports the belief that in many testing applications the collateral information obtained from each subset of m-1 colleges…

School unit residuals from multiple regression predictions of sixth-grade reading scores were developed for a population of 66 elementary schools, using Dyer's Method II (matched longitudinal data) and Method III (unmatched longitudinal data). The input variable sets were (1) previous achievement data alone, (2) achievement data and nonachievement…

Success of student nurses from three ethnic groups on a state board certification examination was predicted from study behavior, course grade point average and standardized achievement tests administered prior to nurse training. The achievement tests proved to be the best predictors across groups. (Author/JKS)

Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)

Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)