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…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Previous researchers have identified socioeconomic status as a significant predictor of achievement/literacy. However, it is important to recognize that the influence of socioeconomic status on literacy may vary at different levels of socioeconomic status. Thus, this study analyzes the relationship between socioeconomic status and literacy scores…

Defining "plagiarism" is not simple, and its complexity is too seldom appreciated. This article offers a comprehensive plagiarism assessment rubric from a four-year study of analyzing students' plagiarism. From qualitative analyses of 120 students' paraphrase samples, we identified seven plagiarism dimensions and employed a five-point…

Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…

Researchers have long documented a persistent Black-White gap in wealth. These studies, however, often treat race as a discrete category, eluding its socially constructed nature. As a result, these studies assume that the "effect of race" is consistent across all individuals racialized as Black. Studies that make this assumption…

This study contributes to a growing body of scholarship at the intersection of bilingual education and education policy and examines reclassification, or the transition out of formal English language services in schools, as one potential lever in accelerating or decelerating multilingual learners' science learning. More specifically, it traces…

Within developmental psychology, pointing gestures have received a great deal of attention, while ostensive gestures have been overlooked in terms of their emergence and intentionality. In a longitudinal and micro-genetic study with six children at 9, 11, and 13 months of age, we codified gesture production of children within second-by-second data…

Current recommended cutoffs for determining measurement invariance have typically derived from simulation studies that have focused on multigroup confirmatory factor analysis, often using continuous data. These cutoffs may be inappropriate for ordered categorical data in a longitudinal setting. This study conducts two Monte Carlo studies that…

The rapid development of digital technology and its pervasiveness in everyday life requires everybody to develop the skills necessary to engage with such technology for one's mundane tasks and communication needs. The first steps towards developing these skills can be particularly challenging for older adults, who might need to fundamentally adapt…

Purpose: This study investigates how the practice of dividing students and coursework into leveled categories persists in science education despite decades of efforts aimed at reducing inequities. This study makes underlying logics visible through an empirical analysis of how science educators attempt to reconcile an egalitarian vision of science…

During the past decade, cognitive diagnostic models (CDMs) have become prevalent in providing diagnostic information for learning. Cognitive diagnostic models have generally focused on single cross-sectional time points. However, longitudinal assessments have been commonly used in education to assess students' learning progress as well as…

We compared maternal speech in interactions of mothers with their firstborn dizygotic twin and singleton infants. Nine twins and nine singletons were video-recorded at home in spontaneous face-to-face interactions with their mothers, from the 2nd to the 6th month. Continuous micro-analysis revealed that there are more quantitative and qualitative…

This mixed methods study investigated the change types and the underlying mechanisms of Chinese undergraduates' deep learning approach at a research-oriented university in eastern China. In Study 1, the deep learning approach of 273 freshmen was assessed using R-SPQ-2F at the beginning and end of a semester. The changes were categorized into three…

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…