A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multilevel regression and poststratification (MRP), a model-based approach, is gaining traction against the traditional weighted approach for survey estimates. MRP estimates…

Growth mixture models (GMMs) are prevalent for modeling unknown population heterogeneity via distinct latent classes. However, GMMs are riddled with convergence issues, often requiring researchers to atheoretically alter the model with cross-class constraints to obtain convergence. We discuss how within-class random effects in GMMs exacerbate…

This research examined the function of future self-continuity and its potential downstream consequences for academic performance through relations with other temporal psychological factors and self-control. We also addressed the influence of cultural factors by testing whether these relations differed by college generation status. Undergraduate…

Driven by a combination of concern for historically high suspension rates and substantial disproportionalities in suspension use, a recent wave of education reforms encourages schools to reduce their use of suspensions for student behavior management. Both academic and political discourse has focused on the extensive use of suspension for…

Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…

We conducted an exploratory study to investigate the relation between nonacademic behavior constructs measured by the "Transition Assessment and Goal Generator" (TAGG) and postsecondary education and employment outcomes for 297 high school leavers who completed the TAGG during their high school years. Four of eight TAGG constructs…

The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across four waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling…

The purpose of this exploratory study was to examine early intervention (EI) service providers'perceptions of the roles played by fathers in services, as well as their perceptions of the barriers that limit fathers from being engaged in the services provided for families of children with disabilities. A total of 511 EI service providers…

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…

Using nationally representative data from the Family and Child Experiences Survey 2009 Cohort (n = 2,798), this study examined patterns of absenteeism and their consequences through the transition to kindergarten. Overall, children were less likely to be absent in kindergarten than from Head Start at ages 3 and 4. Absenteeism was fairly stable…

We explore the potential of a computer-adaptive decoding game in Spanish to increase the decoding skills and oral reading fluency in Spanish and English of bilingual students. Participants were 78 first-grade Spanish-speaking students attending bilingual programs in five classrooms in Texas. Classrooms were randomly assigned to the treatment…

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…

In this paper, we analyze a two-level latent variable model for longitudinal data from the National Growth of Health Study where surrogate outcomes or biomarkers and covariates are subject to missingness at any of the levels. A conventional method for efficient handling of missing data is to reexpress the desired model as a joint distribution of…

Research on school leadership suggests that both principal and teacher leadership are important for school improvement. However, few studies have studied the interaction of principal and teacher leadership as separate but linked systems in how they relate to student outcomes. In this study, we examine how leadership pathways are related in the…

Background: There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. Objectives: The purpose of this article is to employ a recent large…