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Peer reviewedMealli, Fabrizia; Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2002
Notes that the article reviewed contributes to the expanding literature on noncompliance by explicating the assumptions involving covariates that can be used to identify maximum likelihood estimates in place of exclusion restrictions. Notes points that require further discussion. (SLD)
Descriptors: Estimation (Mathematics), Intervention, Maximum Likelihood Statistics, Models
Peer reviewedSnijders, Tom A. B. – Journal of Educational and Behavioral Statistics, 1996
Two commentaries describe some shortcomings of a recent discussion of the significance testing of R-squared by C. J. Huberty and upward bias in the statistic. Both propose some modifications. A response by Huberty acknowledges the importance of the exchange of ideas in the field of data analysis. (SLD)
Descriptors: Bias, Correlation, Effect Size, Regression (Statistics)
Peer reviewedJones, Douglas H. – Journal of Educational and Behavioral Statistics, 1994
This book is a solid introduction to applied statistics emphasizing computational statistics that can be done with a simple calculator. Because of the progress in speed and power of computers since the first edition in the 1970s, the book is behind in giving information on practical computation. (SLD)
Descriptors: Computation, Research Methodology, Statistical Analysis, Statistics
