The MAP® Growth™ theory of action describes key features of MAP Growth and its position in a comprehensive assessment system. The basic premise of the theory of action is that all students learn when MAP Growth is situated in a comprehensive assessment system and used for its intended purposes to yield information about student learning and enable…

Michigan's Great Start Readiness Program (GSRP) is a state-funded pre-K program that serves at risk four-year-old children across the state. Utilizing longitudinal data from 1,394 children in a mid-sized urban school district, we conducted regression analyses and piecewise linear growth models to examine the growth trajectory of GSRP children and…

Scholars have lamented that current methods of assessing student performance do not align with contemporary views of learning as situated within students, contexts, and time. Here, we introduce and describe one theoretical--psychometric paradigm--termed "dynamic measurement"--designed to provide a valid representation of the way students…

Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…

School districts choose programs based on limited data, word of mouth, or cost-effectiveness. STEM-based schools often choose project-based learning (PBL) programs to deliver curricula through limited research and word of mouth effectiveness. This study evaluated one PBL program implementation in the context of a suburban Texas middle school by…

Background/Context: Closing achievement gaps is a major concern in U.S. education. These gaps can develop in a wide range of ways over the course of a student's schooling. Yet, research on school effectiveness and accountability policies for schools often focuses on rank orderings of schools based on value-added models, which could mask those…

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,…

Important educational policy decisions, like whether to shorten or extend the school year, often require accurate estimates of how much students learn during the year. Yet, related research relies on a mostly untested assumption: that growth in achievement is linear throughout the entire school year. We examine this assumption using a data set…

Effect sizes in the Cohen's d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However,…

Important educational policy decisions, like whether to shorten or extend the school year, often require accurate estimates of how much students learn during the year. Yet, related research relies on a mostly untested assumption: that growth in achievement is linear throughout the entire school year. We examine this assumption using a dataset…

The purpose of this longitudinal, mixed methods quasi-experimental study was to investigate the impact of balanced literacy coaching on teacher efficacy, practices, beliefs, and student achievement. The participants were third- through sixth-grade teachers from five elementary schools within the same south suburban Chicago public school district.…

The purpose of the present study was to gather summative and formative data related to the implementation of Zearn Math during the first year of a two-year study. The sample included students in a large urban school district comprised of predominantly African American (58%) and Hispanic (28%) students. Roughly 90% of students are economically…

Evaluators report effects of education initiatives as standardized effect sizes, a scale that has merits but obscures interpretation of the effects' practical importance. Consequently, educators and policymakers seek more readily interpretable translations of evaluation results. One popular metric is the number of years of learning necessary to…

The Building Assets, Reducing Risks (BARR) model is a comprehensive, strength-based approach to education that aims to improve achievement for all students by improving a school's effectiveness at building relationships, leveraging real-time student data, and capitalizing on the strengths of each student. The U.S. Department of Education's…