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Chen, James J.; Novick, Melvin K. – Journal of Educational Statistics, 1982
A least squares statistical procedure for fitting utility functions is extended to truncated normal and extended beta functions. Implications for educational decision-making are discussed. (JKS)
Descriptors: Bayesian Statistics, Least Squares Statistics, Probability, Selection
Peer reviewed Peer reviewed
Viana, Marlos A. G. – Journal of Educational Statistics, 1991
A Bayesian solution is suggested to the problem of jointly estimating "k is greater than 1" binomial parameters in conjunction with the problem of testing, in a Bayesian sense, the hypothesis "H" of parametric homogeneity. Applications of the estimates are illustrated with several types of data, including ophthalmological…
Descriptors: Bayesian Statistics, Elementary Secondary Education, Equations (Mathematics), Higher Education
Peer reviewed Peer reviewed
Raudenbush, Stephen W.; Bryk, Anthony S. – Journal of Educational Statistics, 1987
Statistical methods are presented for studying "correlates of diversity," defined as characteristics of educational organizations that predict dispersion on the dependent variable. Strategies based on exact distribution theory and asymptotic normal approximation are considered. (TJH)
Descriptors: Academic Achievement, Bayesian Statistics, Estimation (Mathematics), Mathematics Achievement