Journal article
Examining the performance of the trifactor model for multiple raters
Using simulations, this study examined the “trifactor model,” a recent model developed to address rater disagreement.
By: James Soland, Megan Kuhfeld
Topics: Measurement & scaling
Achievement growth in K-8 Catholic schools using NWEA data
Using a national sample of kindergarten to eighth grade students from Catholic and public schools who took MAP Growth assessments, we examine achievement growth over time between sectors.
By: Julie Dallavis, Megan Kuhfeld, Beth Tarasawa, Stephen Ponisciak
Topics: Early learning, Middle school
BFpack: Flexible Bayes factor testing of scientific theories in R
In this paper we present a new R package called BFpack that contains functions for Bayes factor hypothesis testing for the many common testing problems. The software includes novel tools for (i) Bayesian exploratory testing (e.g., zero vs positive vs negative effects), (ii) Bayesian confirmatory testing (competing hypotheses with equality and/or order constraints), (iii) common statistical analyses, such as linear regression, generalized linear models, (multivariate) analysis of (co)variance, correlation analysis, and random intercept models, (iv) using default priors, and (v) while allowing data to contain missing observations that are missing at random.
By: Joris Mulder, Donald Williams, Xin Gu, Andrew Tomarken, Florian Bƶing-Messing, Anton Olsson-Collentine, Marlyne Meijerink-Bosman, Janosch Menke, Robbie van Aert, Jean-Paul Fox, Herbert Hoijtink, Yves Rosseel, Eric-Jan Wagenmakers, Caspar van Lissa
Topics: Measurement & scaling
Using data from the Applied Problems subtest of the Woodcock-Johnson Tests of Achievement administered to 1,364 children from the National Institute of Child Health and Human Development (NICHD) Study of Early Childcare and Youth Development (SECCYD), this study measures children’s mastery of three numeric competencies (counting, concrete representational arithmetic and abstract arithmetic operations) at 54āmonths of age.
By: Pamela Davis-Kean, Thurston Domina, Megan Kuhfeld, Alexa Ellis, Elizabeth Gershoff
Topics: College & career readiness, Early learning, Math & STEM
This research introduces a novel approach, using the Bayes factor, wherein a researcher can directly test for homogeneous within-person variance in hierarchical models. Additionally, we introduce a membership model that allows for classifying which (and how many) individuals belong to the common variance model.
By: Donald Williams, Stephen Martin, Phillipe Rast
Topics: Measurement & scaling
GGMnonreg: Non-regularized Gaussian graphical models in R
Graphical modeling has emerged recently in psychology (Epskamp et al. 2018), where the data is typically long or low-dimensional (p < n; Donald R. Williams et al. (2019),
Donald R. Williams & Rast (2019)). The primary purpose of GGMnonreg is to provide methods that were specifically designed for low-dimensional data (e.g., those common in the
social-behavioral sciences).
By: Donald Williams
Topics: Measurement & scaling
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.
By: James Soland, Megan Kuhfeld
Topics: Social-emotional learning, High school, Middle school