Discusses the lack of quantitative standards in the ARL-ACRL Standards for University Libraries and demonstrates the use of statistical techniques to analyze data and derive minimal criteria which, while they describe quantitative relationships among libraries, provide no indication of quality of services. Sixteen references are cited. (RAA)

Examined the consistency of student identification with subcultures in the Clark-Trow typology and determined that identification with a subculture during the undergraduate years is associated with choices 10 years later. (Author)

Explains some observed library circulation frequency distributions through use of a simple stochastic model for the borrowing of books from a library collection. Parameters of the model are described and the model is applied to circulation data from three academic libraries. (Author/SW)

This paper explores the need for a better understanding of the influences of prices and student aid on student enrollment and college budgets. The theory of net price has not been found to adequately explain changes in enrollment. Based on a critical review of recent research on student price response, this paper develops an alternative approach…

The development of new statistical methods of log-linear models by Leo Goodman has led to major advances in the statistical analysis of categorical data. Goodman's logit analysis, (the simplest form of log-linear models) can be applied in evaluation studies to estimate the "main effects" and "interaction effects" of categorical…

THE PRIME CRITERION OF SUCCESS OF A NURSING PROGRAM IS OCCUPATIONAL PERFORMANCE OF GRADUATES. AS AN INTERMEDIATE STEP, THE AUTHOR INVESTIGATED THE RELATIONSHIP OF CERTAIN PERSONAL CHARACTERISTICS (AGE, SEX, MARITAL STATUS, NUMBER OF CHILDREN, NUMBER OF BROTHERS AND SISTERS, FATHER'S AND MOTHER'S EDUCATION, AND SCHOOL AND COLLEGE ABILITY TEST…

Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…

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…

Predictive validities were comparatively evaluated for a direct (SCAAS) and an indirect (ISCS) measure of academic self-confidence. Both instruments significantly predicted a variety of criteria for ninth-grade males (N=55). Predictions for females (N=44) were generally lower than for males, and the indirect measure was ineffective. The two…

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)

Discusses the relationship between changes in delinquency prevalence over time and prediction error. Data from a 21-year British longitudinal study exemplify the formal relationships that are derived. Results indicate statistically, as prevalence increases, a relative increase in false negative errors and a decrease in false positive errors…

A technique is described for private liberal arts colleges to assess the probable matriculation behavior of admitted applicants. By performing a multiple discriminate analysis of data obtained from applicants admitted during a previous admissions season, and applying the information to a decision-making strategy used in political elections the…

Although a complex process, canonical correlation has numerous potential advantages over other predictive techniques, the most important being that canonical correlation predicts several criterion variables simultaneously. The paper shows how the method can be used for industrial and vocational-technical education data. (Author)

This paper examines the multivariate multiple regression model and explores its applicability to communication research. The first section discusses partitioning of a data matrix, as a heuristic device for distinguishing among alternative regression models. Section two examines various aspects of univariate multiple regression, including the form…