The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…

The study hypothesized that scatter analysis of the three subtest scale scores on the Meeting Street School Screening Test (gross motor patterning, visual-perceptual-motor, and language) given at the beginning of first grade would prove to be a more accurate predictor of future placement in a learning disabilities program than the cut-off total…

The investigation had two objectives: (1) to determine whether teachers of select deaf students can identify those considered to be unofficial candidates for dual diagnosis as deaf and learning disabled; (2) to identify which academic achievement areas, if any, would provide support for informal observations of learning disabled functioning.…

The final report of the Bilingual Prediction Project presents a review of the project from its inception in 1975 through completion in 1979. The main goal was to predict a student's academic ability in English. A prediction index was constructed in two stages. The first stage was a description of the target population and their school setting, as…

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 first phase of a study to predict retention and withdrawal among disadvantaged students at an urban commuter institution is described. Variable selection for the study was guided by Tinto's (1975) and Bean's (1982) models. Pilot testing was undertaken to estimate some psychometric characteristics of Pascarella and Terenzini's institutional…

Analysis of data on this algebra course, gathered by the Comprehensive Achievement Monitoring (CAM) system, indicated that equivalent scores were yielded by either random or chronological arrangement of the test items on the monitor forms. Chronological arrangement may be permissible, therefore, for normal data processing; random arrangement…

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…

A study was conducted to determine whether six personality variables, presently used in admissions decisions by a nursing school, were effective predictors of success on the State Board Examination (SBE), the nursing licensing examination. The personality variables were measured by subtests of the Personal Preference Schedule of the Psychological…

The investigations focused on two main subject areas. The first series of experiments explored the validity of verbal association based inferences as an attitude measure and predictor of behavior. When compared with paper-and-pencil methods, the association based attitude index (EDI) showed high positive correlation as a group measure and medium…

Differential prediction of two-year grade point average is reported for gender groups within university programs of study. Johnson-Neyman analyses indicated regions on the predictor score scales where differential prediction has practical impact for a significant portion of students. Careful selection of a subset of variables can reduce…

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)

In a longitudinal investigation, the subscales of the Dimensions of Self-Concept revealed declining predictive validity coefficients relative to criteria of secondary school grades. However, the Level of Aspiration subscale consistently exhibited significant predictive validities of student success during each of four time segments. (Author/DWH)