Statistical methods are described for diagnosing and treating three important problems in covariate tests of significance: curvilinearity, covariable effectiveness, and treatment-covariable interaction. Six major assumptions, prerequisites for covariate procedure, are discussed in detail: (1) normal distribution, (2) homogeneity of variances, (3)…

This study explores extent to which postgraduate students are able to learn from holist and serialist learning materials and extent to which such competence is predictable by questionnaires. Results indicate 2 of 26 students scored equally well on holist and serialist competence tests, and such competence is predictable from questionnaires. (MBR)

Describes advances in capture-recapture modeling, including the biologically motivated emphasis on model-based hypothesis testing and the development of models for spatially stratified populations. Discusses the severe problems associated with count statistics reflecting unknown sampling fractions. (67 references) (KR)

Argues that G. A. Cziko's conclusions about the inadequacy of mainstream educational research result from misunderstandings of statistical method, philosophy of science, and other topics. Perceptual control theory, which he espouses, may contribute for educational research but its potential does not result from shortcomings of mainstream…

The focus of the session summarized in this paper was on how postsecondary educational institutions can better anticipate the future of higher education by using the "alternative futures approach to planning" model. The alternative futures model processes the best available information obtainable so that plausible alternative futures in…

Directors of Research and Evaluation in school districts were surveyed about their methods in making school enrollment projections. The questionnaire covered school district size, minority enrollment, staff responsibility for performing projections, acceptable levels of accuracy, methodology used, special considerations, and use of the data. Fifty…

This project is the sixth in a series of studies designed to validate the Training and Development Benefit Forecasting Method (BFM) sponsored by the Training and Development Research Center (TDRC) at the University of Minnesota. The purpose of this study was to validate the BFM's ability to forecast the benefits of an organization development…

Despite the growing accumulation of studies attesting to the association between life events and illness, either physical or mental, a number of critical methodological and conceptual issues are considered not to permit any clear answer to the basic questions regarding the importance of the role these events play in the etiology of such disorders.…

The working paper concentrates on the general objective, "How do the agency (Federal) and its policy makers utilize the information conveyed by scientific manpower forecasts?" Section 1 examines reasons for the growth in demand for these forecasts: (1) benefit cost analysis of public projects with long payout periods must rely on forecasts; (2)…

Methodologies were proposed for combining background and aptitude and/or achievement information in an approach to the classification problem using the concept of under- and overachievement. The methodologies were applied to independent samples from four high school curricula. The results suggest that when past achievement and/or aptitudes were…

States that the Joint Council's "Framework" is deficient in the area of methodology because the theories and conclusions of the discipline are based mostly on private musings and introspection which is qualified through post-hoc regression analysis. Illustrates the problem with an example from unemployment, and concludes with a section…

Briefly describes the characteristics of video games and discusses some advantages and disadvantages of their use to measure individual abilities. Relevant research is cited in the areas of stabilization with practice, predictive testing, performance testing, testing under extreme conditions, testing brain-injured persons, and differential…

Stepwise discriminant analysis coupled with logit regression analysis of freshmen data from Brandon University (Manitoba) indicated that six tested variables drawn from research on university dropouts were useful in predicting attrition: student status, residence, financial sources, distance from home town, goal fulfillment, and satisfaction with…

This article develops a model for potential working-class applicants to university, using multinomial logit regression to analyse a national UK sample, drawn from lower middle and working-class adults aged 16-30. Influential factors are belief in ability, preference for university rather than earning money, qualifications and family encouragement;…

In forecasting its fall credit headcounts, the Office of Institutional Research and Analysis at Prince George's Community College (PGCC) utilizes the Component Yield Method (CYM), an enrollment projection model developed by the college's planning analyst in the early 1980's. By disaggregating enrolled students into multiple groups, each with an…