Measurement & scaling
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.
By: Patrick Meyer, Emily Bo
Products: MAP Growth
Topics: Measurement & scaling, Test design
Using retest data to evaluate and improve effort-moderated scoring
This study investigated effortāmoderated (EāM) 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.
By: Steven Wise, Megan Kuhfeld
Topics: Measurement & scaling, Innovations in reporting & assessment, School & test engagement
Parameter estimation accuracy of the effort-moderated IRT model under multiple assumption violations
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement.
By: James Soland, Joseph Rios
Using retest data to evaluate and improve effort-moderated scoring
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement (presentation begins at 22:55).
By: Steven Wise, Megan Kuhfeld
A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Although there is great deal of guidance on scaling and linking IRT-based large-scale educational assessment to facilitate the estimation of examinee growth, little of this expertise is brought to bear in the scaling of psychological and social-emotional constructs. Through a series of simulation and empirical studies, we produce scores in a single-cohort repeated measure design using sum scores as well as multiple IRT approaches and compare the recovery of growth estimates from longitudinal growth models using each set of scores.
By: Megan Kuhfeld, James Soland
Topics: Growth modeling, Measurement & scaling, Social-emotional learning
A “Lost Year” of Data? What Disruptions From COVID-19 Mean For Education Research
This Bellwether Education Partners webinar examines how education research can continue to offer meaningful, relevant information to policymakers and practitioners after the ālost yearā of data from COVID disruptions to schools and testing.
By: Matthew Soldner, Megan Kuhfeld, Dan Goldhaber, Constance Lindsay, Allison Crean Davis
Topics: COVID-19 & schools, Empowering educators, Measurement & scaling
GGMncv: Nonconvex penalized Gaussian graphical models in R
A new software package, GGMncv, provides alternatives to graphical lasso (ā1-regularization) for study of complex relations in multivariate datasets.
By: Donald Williams
Topics: Measurement & scaling