Project Activities
Researchers planned to analyze the Early Childhood Longitudinal Study—Kindergarten Cohort (ECLS-K) dataset to identify factors associated with or predictive of science learning difficulties, examine inter-relations between these factors, and determine which factors may be most educationally relevant for addressing science learning difficulties in the United States.
Structured Abstract
Setting
This study will analyze data from the Early Childhood Longitudinal Study-Kindergarten Cohort (ECLS-K), a nationally representative cohort of young school-aged children. Children were assessed in the fall and spring of kindergarten and the spring of grades 1, 3, 5, and 8.
Sample
The ECLS-K includes data on students entering U.S. kindergarten classrooms in 1998-1999, including at-risk subpopulations (e.g., students with disabilities, students from low-income families). The sample includes 7,395 students who have more than one test score on the dependent variables of interest in this study.
Intervention
There is no intervention.
Research design and methods
This is a secondary analysis of the restricted version of the extant ECLS-K dataset.
Control condition
Due to the nature of this study, there is no control condition.
Key measures
The dependent variables of interest were measured using the General Knowledge Test and Science Test from the ECLS-K. Predictor variables of interest were measured using a combination of survey and questionnaire data, school records, and parent reports. Other measures included the ECLS-K Reading and Mathematics Tests and a modified version of the Social Skills Rating System. All measures were created and/or collected through the U.S. Department of Education's National Center for Education Statistics, which maintains the ECLS-K.
Data analytic strategy
The project will use multilevel growth trajectory models and propensity score matching, combined with growth mixture modeling, to estimate latent classes of science achievement growth trajectories. The models will also adjust for the clustering of the original sample within kindergarten classes.
People and institutions involved
IES program contact(s)
Products and publications
ERIC Citations: Find available citations in ERIC for this award here.
Select Publications:
Journal articles
Morgan, P.L., Farkas, G., Hillemeier, M.M., and Maczuga, S. (2016). Science Achievement Gaps Begin Very Early, Persist, and are Largely Explained by Modifiable Factors. Educational Researcher, 45(1), 18-35. doi:10.3102/0013189X16633182
Supplemental information
Co-Principal Investigators: Farkas, George; Hillemeier, Marianne
Questions about this project?
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