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Yadira Peralta; Nidhi Kohli; Panayiota Kendeou; Mark L. Davison; Eric F. Lock – Reading and Writing: An Interdisciplinary Journal, 2024
The relation between reading and mathematics achievement is an active area of research, and evidence in the extant literature suggests they are closely related. However, there is a lack of understanding about how their relation develops over time. Indeed, traditional longitudinal analyses have focused on investigating each domain independently,…
Descriptors: Learning Trajectories, Reading Achievement, Mathematics Achievement, Models
Feldon, David F.; Litson, Kaylee – Educational Psychology Review, 2021
Working memory is an essential mechanism in the cognitive learning process. However, its definitions and mechanisms remain a topic of debate. Miller-Cotto and Byrnes ("Journal of Educational Psychology," "112"(5), 1074-1084, 2020) reported a comparison of three models of working memory to determine which best accounted for data…
Descriptors: Short Term Memory, Learning Processes, Models, Children
Sisi Dong – ProQuest LLC, 2023
Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…
Descriptors: Elementary School Students, Parents, Reading Achievement, Cultural Capital
Nam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
Kirksey, J. Jacob; Gottfried, Michael A. – Journal of Research on Educational Effectiveness, 2021
Over the past decade, identifying how schools might reduce student absenteeism has moved to the forefront of education policy. Yet little research has examined whether school type itself is important. We focus on the influence of Catholic schools using data from the past decade--the most relevant policy context for addressing absenteeism. The…
Descriptors: Educational Policy, Attendance, Catholic Schools, Institutional Characteristics
Bailey, Drew H.; Oh, Yoonkyung; Farkas, George; Morgan, Paul; Hillemeier, Marianne – Developmental Psychology, 2020
Prior nonexperimental studies have been used to conclude that children's reading and mathematics achievement bidirectionally influence each other over time, with strong paths from (a) early reading to later mathematics and (b) early mathematics to later reading. In the most influential study on the topic, the early math-to-later-reading path was…
Descriptors: Reading Achievement, Mathematics Achievement, Correlation, Primary Education
Miller-Cotto, Dana; Byrnes, James P. – Journal of Educational Psychology, 2020
Although studies have demonstrated a relationship between working memory and achievement in math and reading, it is still unclear why working memory might be related to these abilities. In the present article, we examined the viability of several possible theories in 2 separate analyses of math and reading. In each case, we contrasted the…
Descriptors: Short Term Memory, Mathematics Achievement, Reading Achievement, Correlation
Curran, F. Chris; Kitchin, James – AERA Open, 2019
Recent evidence points to the early elementary grades as a pivotal point for the development of science learning trajectories and achievement gaps. Using data from the Early Childhood Longitudinal Study, this study estimates the degree to which time spent on science and the breadth of science topics/skills covered predict science achievement in…
Descriptors: Science Instruction, Elementary School Science, Science Achievement, Children
Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
Zhang, Zhiyong – Grantee Submission, 2016
Growth curve models are widely used in social and behavioral sciences. However, typical growth curve models often assume that the errors are normally distributed although non-normal data may be even more common than normal data. In order to avoid possible statistical inference problems in blindly assuming normality, a general Bayesian framework is…
Descriptors: Bayesian Statistics, Models, Statistical Distributions, Computation
Dicke, Theresa; Marsh, Herbert W.; Parker, Philip D.; Pekrun, Reinhard; Guo, Jiesi; Televantou, Ioulia – Journal of Educational Psychology, 2018
School-average achievement is often reported to have positive effects on individual achievement (peer spillover effect). However, it is well established that school-average achievement has negative effects on academic self-concept (big-fish-little-pond effect [BFLPE]) and that academic self-concept and achievement are positively correlated and…
Descriptors: Academic Achievement, Self Concept, Peer Influence, Children
Sullivan, Amanda L.; Kohli, Nidhi; Farnsworth, Elyse M.; Sadeh, Shanna; Jones, Leila – School Psychology Quarterly, 2017
Objective: Accurate estimation of developmental trajectories can inform instruction and intervention. We compared the fit of linear, quadratic, and piecewise mixed-effects models of reading development among students with learning disabilities relative to their typically developing peers. Method: We drew an analytic sample of 1,990 students from…
Descriptors: Reading Achievement, Learning Disabilities, Comparative Analysis, Children
Quinn, David M. – Educational Evaluation and Policy Analysis, 2015
The estimation of racial test score gap trends plays an important role in monitoring educational equality. Documenting gap trends is complex, however, and estimates can differ depending on the metric, modeling strategy, and psychometric assumptions. The sensitivity of summer learning gap estimates to these factors has been under-examined. Using…
Descriptors: Racial Differences, Scores, Achievement Gap, Trend Analysis
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Setodji, Claude Messan; Le, Vi-Nhuan; Schaack, Diana – Developmental Psychology, 2013
Research linking high-quality child care programs and children's cognitive development has contributed to the growing popularity of child care quality benchmarking efforts such as quality rating and improvement systems (QRIS). Consequently, there has been an increased interest in and a need for approaches to identifying thresholds, or cutpoints,…
Descriptors: Cognitive Development, Child Development, Toddlers, Child Care