Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…

Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…

During the transition period between the use of exclusively old SAT® scores and the use of exclusively new SAT scores, college admission offices will be receiving both types of scores from students. Making an admission decision based on new SAT scores can be challenging at first because institutions have methods, procedures, and models based on…

The objective of this study was to validate a scale for assessment of academic projects. As a complement, we examined its predictive ability by comparing the scores of advised/corrected projects based on the model and the final scores awarded to the work by an examining panel (approximately 10 months after the project design). Results of…

The National Center for Education Statistics (NCES) continues to be interested in addressing the issue identified by the Government Accountability Office (GAO). With the release of the 2009 National Assessment of Educational Progress (NAEP) reading and mathematics assessments, NCES again had the opportunity to measure the status and change in…

The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…

The hypothesis that structured representations can be compared via structural alignment and the prediction that similarity comparisons lead subjects to attend to the matching relational structure of a pair of items were supported through 4 experiments involving 218 undergraduates. Results indicate that similarity involves alignment of structured…

The subjective likelihood model [SLiM; McClelland, J. L., & Chappell, M. (1998). Familiarity breeds differentiation: a subjective-likelihood approach to the effects of experience in recognition memory. "Psychological Review," 105(4), 734-760.] and the retrieving effectively from memory model [REM; Shiffrin, R. M., & Steyvers, M. (1997). A model…

Two causal models of career development differing in inclusion or noninclusion of variables unique to the experience of the hearing impaired were compared for their ability to explain variance in career maturity, with data from 71 hearing-impaired adolescents. Results suggest neither model is more powerful in explaining career maturity variance.…

Discussion of bibliometrics focuses on methods of predicting the number of new journals carrying relevant articles in the future, using both established parametric approaches and newer empirical methods. Parametric models and empirical Bayes models are used to compare examples using previous bibliographies compiled by Bradford and Kendall. (13…

Models proposed by Cleary, Thorndike, Cole, Linn, Einhorn and Bass, Darlington, and Gross and Su for analyzing bias in the use of tests in a selection strategy are surveyed. Several additional models are also introduced. The purpose is to describe, compare, contrast, and evaluate these models while extracting such useful ideas as may be found in…

Cost-related tuition can increase efficiency in higher education and in the labor markets it serves, and provide fiscal gains for individual institutions, depending on enrollment demands. Cost-related tuition and its possible effects are explained and the University of Minnesota's experience in implementing this policy are described. (Author/MLW)

Tests the inferential approach to the study of competence evaluation and a series of complicating factors relevant to it by having participants with known implicit theories judge an observed communicator on a set of competence-relevant characteristics and on overall competence. Finds inferential models predicted these judgments well. (MS)

Describes various methods of measuring information contained in a database or in a document collection. Economic worth or utility of information to the user is discussed, the value of data in decision making is considered, and an example comparing information in two library collections is presented. (41 references) (LRW)

A uniprocessor, unidimensional model, based on Krueger's noisy-operator theory, was fitted satisfactorily to data from four published studies of tone comparison. The model predicts faster response time on different judgments because of heterogeneity of difference. (Author/CP)