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Ahn, Soyeon; Becker, Betsy Jane – Journal of Educational and Behavioral Statistics, 2011
This paper examines the impact of quality-score weights in meta-analysis. A simulation examines the roles of study characteristics such as population effect size (ES) and its variance on the bias and mean square errors (MSEs) of the estimators for several patterns of relationship between quality and ES, and for specific patterns of systematic…
Descriptors: Meta Analysis, Scores, Effect Size, Statistical Bias
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Nievar, M. Angela; Becker, Betsy Jane – Social Development, 2008
De Wolff and van IJzendoorn's meta-analysis supported the relation of parental behavior to attachment security; however, they concluded that sensitivity was not the best predictor of attachment security. This secondary analysis of their data re-examined their conclusion and tested moderators of the relation between sensitivity and attachment, such…
Descriptors: Personality Traits, Attachment Behavior, Meta Analysis, Parent Child Relationship
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Becker, Betsy Jane – Journal of Educational Statistics, 1992
Combining information to estimate standardized partial regression coefficients in a linear model is discussed. A combined estimate obtained from the pooled correlation matrix is proposed, and its large sample distribution is obtained. The method is generalized to handle a random effects model in which correlation parameters vary across studies.…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing
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Becker, Betsy Jane – Journal of Educational Statistics, 1991
The observed probability "p" is the social scientist's primary tool for evaluating the outcome of statistical hypothesis tests. The small-sample accuracy of nonnull asymptotic distributions of several functions of "p" was studied. Implications for use of the approximations are discussed. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing, Mathematical Models
Becker, Betsy Jane – 1992
Analyses for results of a series of studies examining intercorrelations among a set of as many as p+1 variables are presented. Several estimators of a pooled or average correlation vector and its variances are derived for cases in which some studies do not report complete correlation matrices. A test of the homogeneity (consistency) of the…
Descriptors: Bayesian Statistics, College Entrance Examinations, Correlation, Equations (Mathematics)