Design Challenge winner: Student assessment engagement
By: James Soland
In this CASEL Measuring SEL blog, James Soland shares how work with Santa Ana Unified School District led to new insights on how item response times and test metadata may provide insight into student SEL.
Identifying students who are off-track academically in 9th grade: The role of social-emotional learning trajectories
This study examined the stability of social-emotional learning (SEL) skills and the extent to which students’ initial level in SEL skills in 6th grade and growth in SEL skills from 6th to 8th grade are related to students’ successful transition to secondary school. Findings suggest that understanding how a student develops social-emotionally can improve identification of students not on track to succeed in high school.
There has been increasing concern about the presence of disengaged test taking in international assessment programs and its implications for the validity of inferences made regarding a country’s level of educational attainment. In this paper, the author discusses six important insights yielded by 20 years of research on this and implications for assessment programs.
By: Steven Wise
This study examined family factors associated with school mobility and if either a move during the previous year or cumulative moves across elementary school were related to child functioning. School mobility during elementary school did not appear to be a pervasive risk although the authors were unable to study very high rates of school mobility because of very small sample sizes.
By: Deborah Lowe Vandell, Megan Kuhfeld, Elizabeth Gershoff, Robert Crosnoe
This study investigated test-taking engagement on a large-scale state summative assessment. Overall, results of this study indicate that disengagement has a material impact on individual state summative test scores, though its impact on score aggregations may be relatively minor.
The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large data set from the adaptive NWEA MAP Growth Reading Assessment to shed light on emergent features of response time behavior.
This paper describes a method for identifying partial engagement and provides validation evidence to support its use and interpretation. When test events indicate the presence of partial engagement, effort-moderated scores should be interpreted cautiously.
This visualization was developed to provide state-level insights into how students performed on MAP Growth in the 2020–2021 school year. Assessments are one indicator, among many, of the student impact from COVID-19. Our goal with this tool is to create visible data that informs academic recovery efforts that will be necessary in the 2022 school year and beyond.
By: Greg King