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Kennedy, Eugene1
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Estimation of the Squared Cross-Validity Coefficient in the Context of Best Subset Regression.
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Kennedy, Eugene – Applied Psychological Measurement, 1988
A Monte Carlo study was conducted to examine the performance of several strategies for estimating the squared cross-validity coefficient of a sample regression equation in the context of best subset regression. Results concerning sample size effects and the validity of estimates are discussed. (TJH)
Descriptors: Estimation (Mathematics), Monte Carlo Methods, Multiple Regression Analysis, Predictive Validity
Randomly Missing Data in Multiple Regression: An Empirical Comparison of Common Missing Data Treatments.
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Kromrey, Jeffrey D.; Hines, Constance V. – 1991
An investigation of the effects of randomly missing data in two-predictor regression analyses is described. The differences in the effectiveness of five common treatments of missing data on estimates of R-squared values and each of the two standardized regression weights is also investigated. Bootstrap sample sizes of 50, 100, and 200 were drawn…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Mathematical Models