Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

Math proficiency is a strong predictor of postsecondary attainment, yet cross-national comparative assessments show that U.S. students consistently score below many of their peers, especially those in East Asia. Similar math achievement disparities exist across ethnic/racial groups within the U.S., where Asian American students routinely…

Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…