Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

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…

We used structural equation modeling in the Early Childhood Longitudinal Study--Kindergarten Cohort (N = 17,020) to explore the influence of having an older sibling on kindergarten-age focal children's cognitive self-regulation. In model 1, we tested how having a sibling who is generally older than the focal child contributes to the focal child's…

This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 students, 4 family, and 7 school…

Purpose: The purpose of the current study was to examine the role that the first language (L1), Spanish, at Pre-Kindergarten plays in predicting second language (L2), English, word reading in first grade. In addition, it examines the role of conceptual vocabulary in predicting word reading in English. Method: As part of a longitudinal study of…

During high school, developing competence in science, technology, engineering, and mathematics (STEM) is critically important as preparation to pursue STEM careers, yet students in the United States lag behind other countries, ranking 35th in mathematics and 27th in science achievement internationally. Given the importance of STEM careers as…

Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…

This study examined the longitudinal association between fathers' early involvement in routine caregiving, literacy, play, and responsive caregiving activities at 9 months and maternal depressive symptoms at 4 years. Data for 3,550 children and their biological parents were drawn from the Early Childhood Longitudinal Study-Birth Cohort data set.…

In the present study we investigated a developmentally changing role of text reading fluency in mediating the relations of word reading fluency and listening comprehension to reading comprehension. We addressed this question by using longitudinal data from Grades 1 to 4 and employing structural equation models. Results showed that the role of text…