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Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
Mahapatra, Shamita – Journal of Education and Practice, 2015
A group of 50 skilled readers and a group of 50 less-skilled readers of Grade 5 matched for age and intelligence and selected on the basis of their proficiency in reading comprehension were tested for their competence in word reading and the processes of attention, simultaneous coding, successive coding and planning at three levels, i.e.,…
Descriptors: Foreign Countries, Reading Achievement, Grade 5, Elementary School Students
O'Connor, Rollanda E.; Bocian, Kathleen M.; Sanchez, Victoria; Beach, Kristen D. – Grantee Submission, 2014
In this study, we tested the outcomes of access to a Response to Intervention (RtI) model in kindergarten or in first grade on end-of-Grade-2 reading achievement and placement in special education. Across five schools, 214 students who began having access to Tier 2 intervention in kindergarten or first grade were compared in Grades 1 and 2 with…
Descriptors: Response to Intervention, Kindergarten, Young Children, Models

Campbell, Brian; Wilson, Bradley J. – Journal of School Psychology, 1986
Investigated Kaufman's procedures for determining intersubtest scatter on the Wechsler Intelligence Scale for Children-Revised by means of Sattler's revised tables for determining significant subtest fluctuations. Results indicated that Sattler's revised tables yielded more conservative estimates of subtest scatter than those originally reported…
Descriptors: Intelligence Tests, Scoring Formulas, Statistical Analysis, Statistical Distributions