This study investigated the relationship between children's mathematics performance and physical health using data from the Early Childhood Longitudinal Study Kindergarten Class of 2010-2011 (ECLS-K 2011). A two-level hierarchical growth curve model was used to explore the relationships between childhood mathematics performance and childhood…

Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement…

Longitudinal studies can produce biased estimates of learning if children miss tests. In an application to summer learning, we illustrate how missing test scores can create an illusion of large summer learning gaps when true gaps are close to zero. We demonstrate two methods that reduce bias by exploiting the correlations between missing and…

Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…

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…

Examining changes in the longitudinal relationship between vocabulary knowledge and three types of morphological awareness (MA), a cross-lagged design was conducted with a sample of 146 Chinese children. Homophone awareness, homograph awareness, compounding awareness, and vocabulary knowledge were measured in grades 1 (T1), 2 (T2), and 3 (T3),…

After the outbreak of the COVID-19 pandemic, schools had to continuously adapt to new pandemic-related regulations and challenges, including the ad hoc transition to remote learning. According to theories on school improvement and professionalisation, sharing knowledge and experiences with digital learning is helpful when dealing with related…

Children's ability to correctly name letters is a key predictor of later reading abilities and skills, but research on letter naming from Scandinavian orthographies is scarce. The aim of this study is to explore how child- and letter-related factors (i.e., gender, child name, phonemic awareness, letter position in the alphabet and frequency, and…

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…

This paper explores the use of theory in longitudinal qualitative research, an approach to research which explores lived experiences as they unfold. The authors illustrate how the complexity of conducting qualitative research through time drives an understanding and use of theory that differs from other research approaches. Longitudinal…

This study describes a theory-informed application of data science methods to analyze the quality of reflections made in a health professions education program over time. One thousand five hundred reflections written by a cohort of 369 dental students over 4 years of academic study were evaluated for an overall measure of reflection depth (No,…

This paper provides novel evidence on how a sharp increase in labor force participation among older women affects the provision of informal care to their older parents. Based on data from Understanding Society -- The UK Household Longitudinal Study, we use an instrumental variable approach that exploits a unique reform that increased the female…

Scratch is widely used as an introductory educational tool for computer programming. However, little is known about how the action of adding favorite projects on Scratch social media influences programming skill improvement. On Scratch social media, learners select personally intriguing projects to view and learn from. Favorite projects both…

College choice models have been used since the 1980s to try and explain the processes and influences high school students use to decide if and which college to attend after graduation. These models focused solely on college attendance and lacked attention to the nuanced needs and resources found in rural communities. In this three-paper…

Piecewise latent growth modeling (PLGM) is a class of longitudinal models using a structural equation modeling framework to describe stage-like, discontinuous change of individuals over time. PLGM breaks the overall time window into non-overlapped segments where separate functions can be fitted to represent differential growth patterns for each…