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Lord, Frederic M.; Wingersky, Marilyn S. – 1971
Explicit formulas are derived for the asymptotic sampling variances and covariances of the maximum likelihood estimators for factor-analysis parameters in the special case where there is just one common factor. The effect of the number of variables on these variances and covariances is indicated. A formula is given showing to what extent the usual…
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Mathematics
Peer reviewedSchmidt, Frank L.; Hunter, John E. – Personnel Psychology, 1978
Many proposed moderators, "explanatory variables," in personnel psychology are probably illusory, having been created solely by belief in the law of small numbers. Race is one such illusory moderator. Also described is a model for validity generalization that questions the traditional doctrine of situational specificity of test…
Descriptors: Personnel Evaluation, Predictor Variables, Sampling, Statistical Analysis
Goldman, Jerry – Evaluation Quarterly, 1977
This note suggests a solution to the problem of achieving randomization in experimental settings where units deemed eligible for treatment "trickle in," that is, appear at any time. The solution permits replication of the experiment in order to test for time-dependent effects. (Author/CTM)
Descriptors: Program Evaluation, Research Design, Research Problems, Sampling
Peer reviewedLunneborg, Clifford E.; Tousignant, James P. – Multivariate Behavioral Research, 1985
This paper illustrates an application of Efron's bootstrap to the repeated measures design. While this approach does not require parametric assumptions, it does utilize distributional information in the sample. By appropriately resampling from study data, the bootstrap may determine accurate sampling distributions for estimators, effects, or…
Descriptors: Hypothesis Testing, Research Design, Research Methodology, Sampling
Principal, 1986
Presents the findings from a nationwide survey by the Educational Research Service, Inc. of principals on early childhood education. (MD)
Descriptors: Preschool Education, Sampling, Statistical Analysis, Statistical Data
Peer reviewedKoslowsky, Meni – Educational and Psychological Measurement, 1985
The technique of generalizing sample results in a classification study to large subpopulations of unequal sizes was examined. The usual output from the discriminant analysis routine in the Statistical Package for the Social Sciences was extended to handle the present statistical problems. Advantages of the technique were discussed. (Author/DWH)
Descriptors: Classification, Computer Software, Discriminant Analysis, Generalization
Shaver, James P. – Phi Delta Kappan, 1985
A dialog between two fictional teachers provides some basic examples of how research that uses approved methodology may provide results that are significant statistically but not significant practically. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Shaver, James P. – Phi Delta Kappan, 1985
The second half of a dialogue between two fictional teachers examines the significance of statistical significance in research and considers the factors affecting the extent to which research results provide important or useful information. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Peer reviewedColeman, Edmund B. – Journal of Reading Behavior, 1972
Points out that one flaw in statistical foundations of much reading research is that researchers neglect to consider whether their findings could be replicated using a different sample of materials. Also shows that many topics in reading research do not quite fit the model for the null hypothesis. (TO)
Descriptors: Reading Research, Research Criteria, Research Methodology, Research Problems
Steinhorst, R. Kirk; Miller, C. Dean – Educ Psychol Meas, 1969
Descriptors: Analysis of Variance, Classification, Education, Psychology
Peer reviewedElster, Richard S.; Dunnette, Marvin D. – Educational and Psychological Measurement, 1971
Descriptors: Hypothesis Testing, Measurement Techniques, Probability, Sampling
Hsu, Tse-Chi; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Analysis of Variance, Data Analysis, Ratios (Mathematics), Sampling
Krejcie, Robert V.; Morgan, Daryle W. – Educ Psychol Meas, 1970
A formula for determining sample size, which originally appeared in 1960, has lacked a table for easy reference. This article supplies a graph of the function and a table of values which permits easy determination of the size of sample needed to be representative of a given population. (DG)
Descriptors: Data Collection, Research Methodology, Sampling, Statistical Analysis
Owens, Thomas R.; Stufflebeam, Daniel L. – J Educ Meas, 1969
Descriptors: Academic Ability, Item Analysis, Sampling, Statistical Analysis
Nitko, Anthony J.; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Difficulty Level, Factor Analysis, Hypothesis Testing, Item Analysis


