This study investigated effort‐moderated (E‐M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring, and its affect on score distortion from disengaged test taking.

This report presents the results of a mode comparability study conducted based on empirical data to evaluate how scores from MAP Growth administered on the constraint-based engine (CBE) compare to those administered on the current MAP Growth engine known as COLO.

This presentation summarizes the work that’s been done at NWEA to implement automated item generation (AIG), in addition to traditional approaches, to leverage the future.

This interactive tool provides context on the typical patterns of achievement and growth in mathematics and reading for private and Catholic schools who take MAP Growth assessments. It provides multiple ways to examine patterns for different groups of students, including by student gender, race/ethnic group, region, and state.

This user’s guide for the MAP Growth Goal Explorer describes how to use this interactive tool, the benchmarks it uses to provide context on student growth goals, a framework for goal setting, instructions for how to download information from the tool, and answers to frequently asked questions.

The MAP Growth Goal Explorer is designed to support and simplify the goal-setting process by showing a range of possible fall-to-spring growth goals against the backdrop of important academic benchmarks.

Learn what research shows about the variation in math skills early learners have when they enter kindergarten and ways to support building of these foundational skills.