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Liu, Jin; Perera, Robert A.; Kang, Le; Sabo, Roy T.; Kirkpatrick, Robert M. – Journal of Educational and Behavioral Statistics, 2022
This study proposes transformation functions and matrices between coefficients in the original and reparameterized parameter spaces for an existing linear-linear piecewise model to derive the interpretable coefficients directly related to the underlying change pattern. Additionally, the study extends the existing model to allow individual…
Descriptors: Longitudinal Studies, Statistical Analysis, Matrices, Mathematics
Yajuan Si; Roderick J. A. Little; Ya Mo; Nell Sedransk – Journal of Educational and Behavioral Statistics, 2023
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…
Descriptors: Educational Assessment, Response Rates (Questionnaires), Bias, Children
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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
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Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
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Keller, Bryan – Journal of Educational and Behavioral Statistics, 2020
Widespread availability of rich educational databases facilitates the use of conditioning strategies to estimate causal effects with nonexperimental data. With dozens, hundreds, or more potential predictors, variable selection can be useful for practical reasons related to communicating results and for statistical reasons related to improving the…
Descriptors: Nonparametric Statistics, Computation, Testing, Causal Models
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Walters, Glenn D. – International Journal of Social Research Methodology, 2018
As research on mediation has grown, so too has interest in identifying ways to assess the size of indirect effects in a mediation analysis. One such estimate -- the ratio of the indirect effect to the total effect (P[subscript M]) -- was tested in a sample of 21,297 children from the Early Childhood Developmental Study. Results showed that the two…
Descriptors: Effect Size, Computation, Statistical Analysis, Predictor Variables
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Colombo-Dougovito, Andrew Mark – Physical Educator, 2017
Background: Gross motor movement is a vital part of the growing process and ultimately plays a role in a person's ability to lead a physically active life. Researchers have analyzed the different ways in which individuals develop skills. At the heart of that discussion has been gender. Most recently, researchers have focused on the differences…
Descriptors: Psychomotor Skills, Gender Differences, Disabilities, Kindergarten
Cain, Meghan K.; Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2017
Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…
Descriptors: Multivariate Analysis, Probability, Statistical Distributions, Psychological Studies
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Stuart, Elizabeth A.; Dong, Nianbo; Lenis, David – Society for Research on Educational Effectiveness, 2016
Complex surveys are often used to estimate causal effects regarding the effects of interventions or exposures of interest. Propensity scores (Rosenbaum & Rubin, 1983) have emerged as one popular and effective tool for causal inference in non-experimental studies, as they can help ensure that groups being compared are similar with respect to a…
Descriptors: Outcomes of Treatment, Probability, Surveys, Computation
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Gottfried, Michael A.; Little, Michael H. – Early Education and Development, 2018
Responding to a robust body of literature suggesting that children's early educational experiences are critical, policymakers have implemented and expanded the provision of full-day kindergarten (FDK) in recent decades. Most studies have focused on the effectiveness of FDK on child academic assessments or test scores, but none have examined FDK…
Descriptors: Kindergarten, School Schedules, Disabilities, Executive Function
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Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
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Gottfried, Michael A. – Journal of Educational Research, 2018
Over the past 20 years, the number of teacher's aides in the United States has more than doubled, potentially in response to the growth of special education programs now taking place in general education schools. Surprisingly, little research at all has focused on the role that teacher's aides may play in improving student achievement, and no…
Descriptors: Teacher Aides, Disabilities, Kindergarten, Role
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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
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Pun, Wik Hung; Maczuga, Steve – Child Development, 2019
Whether and to what extent kindergarten children's executive functions (EF) constitute promising targets of early intervention is currently unclear. This study examined whether kindergarten children's EF predicted their second-grade academic achievement and behavior. This was done using (a) a longitudinal and nationally representative sample (N =…
Descriptors: Kindergarten, Executive Function, Grade 2, Academic Achievement
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Mulligan, Gail M.; McCaroll, Jill Carlivati; Flanagan, Kristin Denton; Potter, Daniel – National Center for Education Statistics, 2018
This report is intended to provide a snapshot of the children in the ECLS-K:2011 cohort who were in kindergarten for the first time in the 2010-11 school year and in fourth grade 4 years later during the spring of 2015. About 88 percent of children enrolled in kindergarten in 2010-11 were in kindergarten for the first time that school year and…
Descriptors: Children, Surveys, Longitudinal Studies, Grade 4
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