The current investigative study uses a multiple-indicator, latent-growth modelling (MLGM) approach to examine the longitudinal achievement construct and its invariance for MAP Growth.

These studies are conducted based on assumptions under regular conditions for fixed test forms, such as no missing responses and normal distribution of unidimensional ability for a population.

In this study from the Thomas B. Fordham Institute, achievement trends from NWEA’s longitudinal growth database were used to track students who scored at or above the 90th percentile on this assessment in order to see if they maintained their high achievement.

This study examines the academic growth of 35,000 elementary and middle school students in 31 states—all of them high achievers within their own schools—over a three-year period.

Complementing traditional quantitative measures with more qualitative tools can help determine college and career readiness.

Some of our assumptions about the growth and performance of students from high-poverty schools relative to their peers from wealthier schools may be challenged in this data gallery, where you can explore how school poverty level interacts with student growth, college readiness, and college access.

The problems faced within education resemble the problems in many social settings in that they lack clear definitions, have many potential causes, lack simple solutions, and defy straightforward measurement. In this article, Andrew Hegedus shares a view on the types of problems faced in education and outlines key characteristics of a process that begins with collecting data and ends with evaluating progress.