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Session Submission Type: Paper Session
We frame this session with a paper on analytic design effects, an all too often neglected dimension of analyzing national databases. Then we examine student math and science achievement in complex national databases.
Reporting of Design Effects and Sample Weights: A Review of Published Early Childhood Longitudinal Study, Kindergarten Cohort and NAEP Articles - Mihaela Ene, University of South Carolina; Kshawna Askew, University of South Carolina; Bethany A. Bell, University of South Carolina
Effects of Single-Sex Schooling in High School: A Comparison of Analysis of Covariance and Propensity Score Methods - Benjamin Nagengast, Tuebingen University; Herbert W. Marsh, University of Western Sydney; Kit-Tai Hau, Chinese University of Hong Kong
Investigating Early Mathematics Achievement Trajectories for English Language Learners by Growth Mixture Models - Tian Song, Pearson Assessment & Information
Relationships Among Attitudes, Homework, and Achievement Among Eighth-Grade Mathematics Students in the United States - Cornelius McKenna, Kishwaukee College; Thomas J. Smith, Northern Illinois University; Stephen R. Wallace, Northern Illinois University; Wei Chen Hung, Northern Illinois University
Teachers’ Graduate Education and Experience Affecting Elementary Student Achievement: A Crossed Random Effects Growth Model - Walter L. Leite, University of Florida; Robert John Sandbach, University of Florida; Gregory J. Palardy, University of California - Riverside