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Morris, John D.; Huberty, Carl J. – 1986
Formulas for estimating cross-validated hit-rates, the number of correct classifications into an a priori grouping structure, were examined. The following mathematical formulas were compared: McLachlan's formula estimator, two Snappin and Knoke smoothed formula estimators, and the analytic leave-one-out estimator. The R method was included as a…
Descriptors: Classification, Comparative Analysis, Correlation, Estimation (Mathematics)
Peer reviewedCohen, Allan S.; Kim, Seock-Ho – Applied Psychological Measurement, 1993
The effectiveness of two statistical tests of the area between item response functions (exact signed area and exact unsigned area) estimated in different samples, a measure of differential item functioning (DIF), was compared with Lord's chi square. Lord's chi square was found the most effective in determining DIF. (SLD)
Descriptors: Chi Square, Comparative Analysis, Equations (Mathematics), Estimation (Mathematics)
Olejnik, Stephen; Algina, James – 1987
The purpose of this study was to develop a single procedure for comparing population variances which could be used for distribution forms. Bootstrap methodology was used to estimate the variability of the sample variance statistic when the population distribution was normal, platykurtic and leptokurtic. The data for the study were generated and…
Descriptors: Comparative Analysis, Estimation (Mathematics), Measurement Techniques, Monte Carlo Methods
PDF pending restorationSchumacker, Randall E. – 1994
A population data set was randomly generated from which a random sample was drawn. This sample was randomly divided into two data sets, one of which was used to generate parameter estimates, which were then used in the second data set for cross-validation purposes. The best variable subset models were compared between the two data sets on the…
Descriptors: Comparative Analysis, Criteria, Estimation (Mathematics), Factor Analysis
Peer reviewedJansen, Margo G. H. – Journal of Educational Statistics, 1986
In this paper a Bayesian procedure is developed for the simultaneous estimation of the reading ability and difficulty parameters which are assumed to be factors in reading errors by the multiplicative Poisson Model. According to several criteria, the Bayesian estimates are better than comparable maximum likelihood estimates. (Author/JAZ)
Descriptors: Achievement Tests, Bayesian Statistics, Comparative Analysis, Difficulty Level
Peer reviewedSmith, Richard M. – Educational and Psychological Measurement, 1985
Standard maximum likeliheed estimation was compared using two forms of robust estimation, BIWEIGHT (based on Tukey's Biweight) and AMTJACK (AMT-Robustified Jackknife), and Rasch model person analysis. The two procedures recovered the generating parameters, but Rasch person analysis also helped to identify the nature of a response disturbance. (GDC)
Descriptors: Ability, Comparative Analysis, Computer Simulation, Estimation (Mathematics)
Kingsbury, G. Gage – 1985
A procedure for assessing content-area and total-test dimensionality which uses response function discrepancies (RFD) was studied. Three different versions of the RFD procedure were compared to Bejar's principal axis content-area procedure and Indow and Samejima's exploratory factor analytic technique. The procedures were compared in terms of the…
Descriptors: Achievement Tests, Comparative Analysis, Elementary Education, Estimation (Mathematics)
Marco, Gary L.; And Others – 1985
Three item response models were evaluated for estimating item parameters and equating test scores. The models, which approximated the traditional three-parameter model, included: (1) the Rasch one-parameter model, operationalized in the BICAL computer program; (2) an approximate three-parameter logistic model based on coarse group data divided…
Descriptors: College Entrance Examinations, Comparative Analysis, Computer Software, Equated Scores
Buhr, Dianne C.; Algina, James – 1986
The focus of this study is on the estimation procedures implemented in BILOG, a computer program. One purpose is to compare the item parameter estimates produced by various procedures available in BILOG. Four different models are used: the one, two, and three parameter model and a three parameter model with common guessing parameters. The results…
Descriptors: Ability, Bayesian Statistics, Comparative Analysis, Computer Oriented Programs
Wang, Yu-Chung Lawrence; Hocevar, Dennis – 1994
The major goal of this study is to apply the essential unidimensionality statistic of W. Stout and the corresponding computer program (DIMTEST) to a hierarchical level mathematics achievement data set and to determine the extent to which the undimensional assumption can be accurately applied to mathematics achievement data. The study also…
Descriptors: Ability, Comparative Analysis, Elementary Education, Elementary School Students
Bloom, Howard S.; Michalopoulos, Charles; Hill, Carolyn J.; Lei, Ying – 2002
A study explored which nonexperimental comparison group methods provide the most accurate estimates of the impacts of mandatory welfare-to-work programs and whether the best methods work well enough to substitute for random assignment experiments. Findings were compared for nonexperimental comparison groups and statistical adjustment procedures…
Descriptors: Adult Education, Comparative Analysis, Control Groups, Error of Measurement


