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Qi, Hongchao; Rizopoulos, Dimitris; Rosmalen, Joost – Research Synthesis Methods, 2023
The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…
Descriptors: Sample Size, Computation, Meta Analysis, Bayesian Statistics
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McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
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Durkin, Keith F.; Digianantonio, Allison L. – Journal of Offender Rehabilitation, 2007
The sexual abuse of children has received a tremendous amount of attention in recent years. Accordingly, both the criminal justice and mental health systems deal with child molesters. Since much of the public concerns revolve around the potential dangerousness of any given child molester, practitioners are frequently responsible for making…
Descriptors: Recidivism, Child Abuse, Sexual Abuse, Criminals