Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…

In 2016, the federal government proposed and adopted the Every Student Succeeds Act, which retracted the federal government's prior control over states' teacher evaluation systems, permitting more local control. Kevin Close, Audrey Amrein-Beardsley, and Clarin Collins collected information from states to determine the degree to which states were…

A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Researchers use longitudinal growth modeling to understand the development of students on psychological and social-emotional learning constructs across elementary and middle school. In these designs, students are typically administered a…

To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…

Results from a sample of 1,013 Georgia principals who rated 12,617 teachers are used to compare holistic and analytic principal judgments with indicators of student growth central to the state's teacher evaluation system. Holistic principal judgments were compared to mean student growth percentiles (MGPs) and analytic judgments from a formal…

Assessment is a crucial component of gifted education. Not only does it facilitate the recognition of the potential and specific needs of gifted students, it also monitors the progress and growth of gifted students, and allows for the evaluation of gifted education programs. In the present review, we synthesize the literature on assessment in…

Significant momentum exists for next-generation assessments to increasingly utilize technology to develop and deliver performance-based assessments. Many traditional challenges with this assessment approach still apply, including psychometric concerns related to performance-based tasks (PBTs), which include low reliability, efficiency of…