This study uses an analytic example to explore whether metadata might help illuminate such constructs. Specifically, analyses examine whether the amount of time students spend on test items (after accounting for item difficulty and estimates of true achievement), and difficult items in particular, tell us anything about the student’s academic motivation and self‐efficacy.

In this study we conducted a literature review to investigate whether assessment metadata (typically data relevant to how students behave on a test or survey) can provide information on SEL constructs. Implications of this new source of SEL data for practice, policy, and research are discussed.

Megan Kuhfeld draws on data from the 3.4 million students who took the NWEA MAP Growth assessments to find that summer slide is common, but not inevitable. According to the data, the students who experienced the greatest loss were those who made the greatest gains during the previous school year.

This study improves upon previous research by addressing this dimension of heterogeneity and reporting detailed by-subject analyses.

his study describes a convergent validity analysis of the SEDA growth estimates in mathematics and English Language Arts (ELA) by comparing the SEDA estimates against estimates derived from NWEA’s MAP Growth assessments.

Educational assessments must include accommodations in the pursuit of accessibility for all, but the development and drive for accommodations on assessments is everchanging. This paper looks to review the accommodations landscape— discovering the past, highlighting our present progress, and uncovering new areas to explore.

In this study, we examine the impact of two techniques to account for test disengagement—(a) removing unengaged test takers from the sample and (b) adjusting test scores to remove rapidly guessed items—on estimates of school contributions to student growth, achievement gaps, and summer learning loss.