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Carr, John W.; And Others – Journal of Educational Statistics, 1982
Several randomized response models for gathering self-report data when persons are asked sensitive questions are reviewed. A new general model for reducing error by asking questions conditional upon earlier answers is introduced. Hypothesis testing and confidence-interval procedures are demonstrated for data collected by the randomized response…
Descriptors: Data Analysis, Hypothesis Testing, Interviews, Mathematical Models
Peer reviewed Peer reviewed
Viana, Marlos A. G. – Journal of Educational Statistics, 1993
Use of linear combinations of Fisher's "z" transformations as a combined test for the common correlation parameter based on "k" independent sample correlations has been previously studied. This article considers additional "z" additive properties and methods of combining independent studies when planning the number of…
Descriptors: Bayesian Statistics, Correlation, Equations (Mathematics), Evaluation Criteria
Peer reviewed Peer reviewed
Gibbons, Robert D.; And Others – Journal of Educational Statistics, 1993
A distribution theory is derived for a G. V. Glass-type (1976) estimator of effect size from studies involving paired comparisons. The possibility of combining effect sizes from studies involving a mixture of related and unrelated samples is also explored. Resulting estimates are illustrated using data from previous psychiatric research. (SLD)
Descriptors: Effect Size, Equations (Mathematics), Estimation (Mathematics), Generalization
Peer reviewed Peer reviewed
Hedges, Larry V. – Journal of Educational Statistics, 1982
Quantitative methods for research synthesis usually involve calculation of an estimate of effect size for each of a series of studies. Some problems associated with ad hoc methods of analysis, such as ordinary least squares regression analysis using estimates of effect size, are described. (Author/JKS)
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Mathematical Models
Peer reviewed Peer reviewed
Rubin, Donald B. – Journal of Educational Statistics, 1992
In contrast to the average effect sizes of the approach to metanalysis that can be thought of as literature synthesis, an effect-size surface is proposed as a function of scientifically relevant factors, estimated by extrapolating a response surface of observed effect sizes to a region of ideal studies. (SLD)
Descriptors: Effect Size, Equations (Mathematics), Estimation (Mathematics), Literature Reviews
Peer reviewed Peer reviewed
Wilson, Mark – Journal of Educational Statistics, 1989
An empirical sampling approach was used to assess the accuracy of a Taylor approximation for the estimation of sampling errors. The sampling errors were in the statistics involved in estimating a path model based on medium-sized samples gathered using five sample designs commonly used in educational research. (TJH)
Descriptors: Educational Research, Error of Measurement, Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Harwell, Michael R.; And Others – Journal of Educational Statistics, 1992
Implications of metanalytic results from Monte Carlo studies of the robustness of the F test in the one- and two-factor fixed effects analysis of variance (ANOVA) models and Monte Carlo results for the B. L. Welch (1947) and Kruskal-Wallis (1952) tests are discussed. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Mathematical Models, Meta Analysis
Peer reviewed Peer reviewed
Snijders, Tom A. B.; Bosker, Roel J. – Journal of Educational Statistics, 1993
Some approximate formulas are presented for standard errors of estimated regression coefficients in two-level designs. If the researcher can make a reasonable guess as to parameters occurring in the model, this approximation can be a guide to the choice of sample sizes at either level. (SLD)
Descriptors: Equations (Mathematics), Error of Measurement, Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Hedges, Larry V. – Journal of Educational Statistics, 1982
A statistical test is described which determines homogeneity of effect size of an experiment series. An overall fit statistic is partitioned into between-class fit statistic and within-class fit statistic. These statistics permit assessment of differences between effect sizes for different classes and homogeneity of effect size within classes.…
Descriptors: Analysis of Variance, Data Analysis, Estimation (Mathematics), Goodness of Fit
Peer reviewed Peer reviewed
Harwell, Michael R. – Journal of Educational Statistics, 1992
A methodological framework is provided for quantitatively integrating Type I error rates and power values for Monte Carlo studies. An example is given using Monte Carlo studies of a test of equality of variances, and the importance of relating metanalytic results to exact statistical theory is emphasized. (SLD)
Descriptors: Computer Simulation, Data Interpretation, Mathematical Models, Meta Analysis
Peer reviewed Peer reviewed
Marcoulides, George A. – Journal of Educational Statistics, 1993
A methodology is presented for minimizing mean error variance in generalizability studies when resource constraints are imposed. The optimal number of observations and conditions of facets for random model, fully crossed one- and two-facet designs can be decided. Parallel closed form formulas can be determined for other designs. (SLD)
Descriptors: Budgeting, Equations (Mathematics), Error of Measurement, Generalizability Theory
Peer reviewed Peer reviewed
Raudenbush, Stephen W. – Journal of Educational Statistics, 1993
A crossed random effects model is presented that applies to data with a nested structure to provide maximum likelihood estimates through the EM algorithm. The procedure is illustrated in studies of neighborhood and school effects on educational attainment in Scotland and classroom effects on mathematics learning in the United States. (SLD)
Descriptors: Educational Attainment, Elementary Secondary Education, Foreign Countries, Longitudinal Studies
Peer reviewed Peer reviewed
Hedges, Larry V. – Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (metanalysis) has a long history, with work mainly divided into tests of the statistical significance of combined results and methods for combining estimates across studies. Methods of metanalysis and their applications are reviewed. (SLD)
Descriptors: Chi Square, Educational Research, Effect Size, Estimation (Mathematics)
Peer reviewed Peer reviewed
Nandakumar, Ratna; Stout, William – Journal of Educational Statistics, 1993
A detailed investigation is provided of Stout's statistical procedure (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary item response data from a psychological test. Three refinements achieve greater power. The revised approach is validated using real data sets.…
Descriptors: Computer Simulation, Equations (Mathematics), Hypothesis Testing, Item Response Theory
Peer reviewed Peer reviewed
Mislevy, Robert J.; And Others – Journal of Educational Statistics, 1992
Scaling methodologies used in analysis of National Assessment of Educational Progress (NAEP) surveys since 1984 are reviewed. The plausible values methodology developed for NAEP scale-score analyses is described in the contexts of item response theory and average response method scaling. Current NAEP research in scaling is discussed. (SLD)
Descriptors: Educational Assessment, Educational History, Elementary Secondary Education, Equations (Mathematics)
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