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Luecht, Richard M.; Smith, Phillip L. – 1989
Two bootstrapping or resampling strategies were investigated to determine their applicability to estimating standard errors and ensuing confidence intervals on variance components in two-factor random analysis of variance models. In light of prior negative findings regarding the application of bootstrapping to this particular problem, a…
Descriptors: Analysis of Variance, Educational Research, Error of Measurement, Estimation (Mathematics)
Porter, Andrew C. – 1971
In this paper problems caused by the existence of errors of measurement are identified for factor analysis, regression analysis, ANOVA, and ANCOVA. At least one detrimental effect is shown to exist for each type of analysis. When a researcher's interest is with infallible variables, he runs the risk of biased results from all of the procedures…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Error of Measurement
Linn, Robert L.; Werts, Charles E. – 1971
Failure to consider errors of measurement when using partial correlation or analysis of covariance techniques can result in erroneous conclusions. Certain aspects of this problem are discussed and particular attention is given to issues raised in a recent article by Brewar, Campbell, and Crano. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Correlation

Muthen, Bengt O. – Journal of Educational Measurement, 1991
Data from the Second International Mathematics Study for 3,724 eighth graders are used to demonstrate the potential of multilevel factor analysis (MFA) methodology. Issues related to between-class and within-class decomposition of achievement variance and the change in this decomposition over the course of the eighth grade are revealed through…
Descriptors: Academic Achievement, Analysis of Variance, Classes (Groups of Students), Equations (Mathematics)
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers