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Conducting Three-Level Longitudinal Analyses
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Peugh, James L.; Heck, Ronald H. – Journal of Early Adolescence, 2017
Researchers in the field of early adolescence interested in quantifying the environmental influences on a response variable of interest over time would use cluster sampling (i.e., obtaining repeated measures from students nested within classrooms and/or schools) to obtain the needed sample size. The resulting longitudinal data would be nested at…
Descriptors: Longitudinal Studies, Early Adolescents, Hierarchical Linear Modeling, Sampling
Influence of Socioeconomic Disadvantages on Mathematics Achievement: A Multilevel Cohort Analysis
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Singh, Malkeet – Journal of Educational Research, 2015
Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…
Descriptors: Socioeconomic Influences, Achievement Gap, Public Education, Mathematics Achievement
A Longitudinal Study of a State-Wide Reading Assessment: The Importance of Early Achievement and Socio-Demographic Factors
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Singh, Malkeet – Educational Research and Evaluation, 2013
Eliminating inequity in public education is a central goal of the No Child left Behind (NCLB) act. Controlling for 3rd-grade performance, the impact of English language learner (ELL) status, socioeconomic status (SES), and special education (SPED) status on a cohort's reading performance was investigated from elementary to high school through a…
Descriptors: Reading Tests, Educational Assessment, Measurement, Longitudinal Studies