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Tipton, Elizabeth; Yeager, David; Iachan, Ronaldo – Society for Research on Educational Effectiveness, 2016
Questions regarding the generalizability of results from educational experiments have been at the forefront of methods development over the past five years. This work has focused on methods for estimating the effect of an intervention in a well-defined inference population (e.g., Tipton, 2013; O'Muircheartaigh and Hedges, 2014); methods for…
Descriptors: Behavioral Sciences, Behavioral Science Research, Intervention, Educational Experiments
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Hill, Julie C.; Lynne-Landsman, Sarah D.; Graber, Julia A.; Johnson, Kelly J. – Health Education Journal, 2016
Objective: Young people in urban areas are often the focus of pregnancy and sexually transmitted infection (STI) prevention programmes because of their high risk of unwanted pregnancy and contracting an STI. Young people in rural areas are far less studied but also have a high risk of similar outcomes. This study evaluates Giving Our Girls…
Descriptors: Females, Middle School Students, At Risk Students, Pregnancy
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Watson, Jane; Callingham, Rosemary – Mathematical Thinking and Learning: An International Journal, 2014
Some problems exist at the intersection of statistics and probability, creating a dilemma in relation to the best approach to assist student understanding. Such is the case with problems presented in two-way tables representing conditional information. The difficulty can be confounded if the context within which the problem is set is one where…
Descriptors: Statistics, Probability, Tables (Data), Middle School Students
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Feldman, Betsy J.; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…
Descriptors: Dropouts, Academic Achievement, Longitudinal Studies, Computation