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Dong, Yixiao; Dumas, Denis; Clements, Douglas H.; Sarama, Julie – Journal of Experimental Education, 2023
Dynamic Measurement Modeling (DMM) is a recently-developed measurement framework for gauging developing constructs (e.g., learning capacity) that conventional single-timepoint tests cannot assess. The current project developed a person-specific DMM Trajectory Deviance Index (TDI) that captures the aberrance of an individual's growth from the…
Descriptors: Measurement Techniques, Simulation, Student Development, Educational Research
Reyes, Roland S.; McDermott, Paul A.; Watkins, Marley W.; Rovine, Michael J.; Chao, Jessica L. – School Psychology Review, 2020
This study compared the relative contribution of earliest assessment of preschool children's context-specific problem behaviors with subsequent observations of those behaviors for the prediction of later academic and sociobehavioral performance in first grade. Using a nationally representative sample of low-income children from the Head Start…
Descriptors: Accuracy, Predictive Validity, Preschool Children, Behavior Problems
Dragoset, Lisa; Baxter, Cassandra; Dotter, Dallas; Walsh, Elias – Regional Educational Laboratory Mid-Atlantic, 2019
The purpose of this report is to investigate the feasibility of constructing a school-level measure of students' academic growth from kindergarten to grade 3, and to assess the validity and precision of that measure. The study measured schoolwide student growth for reading and math using student growth percentiles based on Maryland's 2014/15…
Descriptors: Elementary School Students, Academic Achievement, Primary Education, Student Evaluation
Clemens, Nathan H.; Lai, Mark H. C.; Burke, Mack; Wu, Jiun-Yu – School Psychology Review, 2017
Although letter naming fluency (LNF) and letter sound fluency (LSF) measures are widely available to educators for assessing early literacy skills of kindergarten children, better understanding of the contributions of these skills to reading development can help improve the interpretation of LNF and LSF data for instructional decisions. This study…
Descriptors: Alphabets, Naming, Reading Fluency, Emergent Literacy
Lu, Yi – Journal of Educational Issues, 2016
To model students' math growth trajectory, three conventional growth curve models and three growth mixture models are applied to the Early Childhood Longitudinal Study Kindergarten-Fifth grade (ECLS K-5) dataset in this study. The results of conventional growth curve model show gender differences on math IRT scores. When holding socio-economic…
Descriptors: Growth Models, Mathematics Achievement, Achievement Gains, Longitudinal Studies
Quirk, Matthew; Grimm, Ryan; Furlong, Michael J.; Nylund-Gibson, Karen; Swami, Sruthi – Journal of Educational Psychology, 2016
This study utilized latent class analysis (LCA) to identify 5 discernible profiles of Latino children's (N = 1,253) social-emotional, physical, and cognitive school readiness at the time of kindergarten entry. In addition, a growth mixture modeling (GMM) approach was used to identify 3 unique literacy achievement trajectories, across Grades 2-5,…
Descriptors: Hispanic Americans, Kindergarten, Young Children, School Readiness
Wang, Cen; Williams, Kate E.; Shahaeian, Ameneh; Harrison, Linda J. – School Psychology Quarterly, 2018
The objective of this study is to examine the trajectory of internalizing problems across middle childhood among a population sample of Australian children, and to understand the timing of explanatory factors related to children's development of internalizing problems, by using multiple-indicator latent growth curve modeling. Participants were…
Descriptors: Predictor Variables, Behavior Problems, Parenting Styles, Parent Child Relationship