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Kalish, Charles W.; Rogers, Timothy T.; Lang, Jonathan; Zhu, Xiaojin – Cognition, 2011
Three experiments with 88 college-aged participants explored how unlabeled experiences--learning episodes in which people encounter objects without information about their category membership--influence beliefs about category structure. Participants performed a simple one-dimensional categorization task in a brief supervised learning phase, then…
Descriptors: Supervision, Statistical Distributions, Classification, Beliefs
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Hoepner, Andreas G. F.; Unerman, Jeffrey – Accounting Education, 2012
This paper addresses issues raised in two recent papers published in this journal about the UK "Association of Business Schools' Journal Quality Guide (ABS Guide)". While much of the debate about journal rankings in general, and the "ABS Guide" in particular, has focused on the construction, power and (mis)use of these…
Descriptors: Bias, Classification, Quality Assurance, Periodicals
Chambers, Jay G.; Brodziak, Iliana; Levin, Jesse; Cruz, Lisa – Strategic School Funding for Results, 2011
This Analysis Brief shows how per-pupil spending varies with student poverty (as measured by the percent of students eligible for free or reduced price lunch) across elementary, middle, and high schools in Pasadena Unified School District (PUSD). The authors have carried out separate analyses that make use of the California Standardized Account…
Descriptors: Expenditure per Student, Educational Finance, Resource Allocation, Strategic Planning
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Wang, Yuchung J. – Psychometrika, 1997
A k-dimensional multivariate normal distribution is made discrete by partitioning the k-dimensional Euclidean space with rectangular grids. The probability integrals over the partitioned cubes forms a k-dimensional contingency table with ordered categories. A loglinear model with main effects plus two-way interactions provides an approximation for…
Descriptors: Classification, Multivariate Analysis, Probability, Statistical Distributions
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Livingston, Samuel A.; Lewis, Charles – Journal of Educational Measurement, 1995
A method is presented for estimating the accuracy and consistency of classifications based on test scores. The reliability of the score is used to estimate effective test length in terms of discrete items. The true-score distribution is estimated by fitting a four-parameter beta model. (SLD)
Descriptors: Classification, Estimation (Mathematics), Scores, Statistical Distributions
Zwick, Rebecca – 1995
This paper describes a study, now in progress, of new methods for representing the sampling variability of Mantel-Haenszel differential item functioning (DIF) results, based on the system for categorizing the severity of DIF that is now in place at the Educational Testing Service. The methods, which involve a Bayesian elaboration of procedures…
Descriptors: Adaptive Testing, Bayesian Statistics, Classification, Computer Assisted Testing
Reshetar, Rosemary A.; Swaminathan, Hariharan – 1992
This study compared the model of J. E. Grizzle, C. F. Starmer, and G. G. Koch (GSK, 1969) and log-linear model-based approaches for testing hypotheses in r x c contingency tables. Tables were simulated under various conditions of table, sample, row-effect size, and column-effect size. Test statistics for column (main) and interaction effects were…
Descriptors: Chi Square, Classification, Comparative Analysis, Effect Size
Wang, Tianyou; And Others – 1996
M. J. Kolen, B. A. Hanson, and R. L. Brennan (1992) presented a procedure for assessing the conditional standard error of measurement (CSEM) of scale scores using a strong true-score model. They also investigated the ways of using nonlinear transformation from number-correct raw score to scale score to equalize the conditional standard error along…
Descriptors: Ability, Classification, Error of Measurement, Goodness of Fit
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Hummel, Thomas J. – 1993
Tables for testing clinical hypotheses about counseling clients are presented, and their use is described. Primary uses are determining a critical value or cutoff score on a predictor that can be used to classify an individual as a member of a clinical group, and instructing those unfamiliar with the limitations of tests about the conditions under…
Descriptors: Classification, Clinical Diagnosis, Counseling, Counselors