Framework for evaluating statistical models in physics education research

Demographics of physics education research

(2020) Stephen Kanim et al.   Physical Review Physics Education Research

Examination of quantitative methods for analyzing data from concept inventories

(2020) Eric Burkholder et al.   Physical Review Physics Education Research

Identifying features predictive of faculty integrating computation into physics courses

(2019) Nicholas T. Young et al.   Physical Review Physics Education Research

Sexual harassment reported by undergraduate female physicists

(2019) Lauren M. Aycock et al.   Physical Review Physics Education Research

Modeling student pathways in a physics bachelor’s degree program

(2019) John M. Aiken et al.   Physical Review Physics Education Research

Editorial: Focused Collection: Quantitative Methods in PER: A Critical Examination

(2019) Alexis V. Knaub et al.   Physical Review Physics Education Research

Two-phase study examining perspectives and use of quantitative methods in physics education research

(2019) Alexis V. Knaub et al.   Physical Review Physics Education Research

Theoretical perspectives of quantitative physics education research

(2019) Lin Ding   Physical Review Physics Education Research

Modernizing use of regression models in physics education research: A review of hierarchical linear modeling

(2019) Ben Van Dusen et al.   Physical Review Physics Education Research

Beyond linear regression: A reference for analyzing common data types in discipline based education research

(2019) Elli J. Theobald et al.   Physical Review Physics Education Research

Missing data and bias in physics education research: A case for using multiple imputation

(2019) Jayson Nissen et al.   Physical Review Physics Education Research

Reconsidering the encoding of data in physics education research

(2019) R. Padraic Springuel et al.   Physical Review Physics Education Research

Demographic gaps or preparation gaps?: The large impact of incoming preparation on performance of students in introductory physics

(2019) Shima Salehi et al.   Physical Review Physics Education Research

Using machine learning to predict physics course outcomes

(2019) Cabot Zabriskie et al.   Physical Review Physics Education Research

Establishment of Best Practices for Evidence for Prediction

(2019) Russell A. Poldrack et al.   JAMA Psychiatry

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Comparison of normalized gain and Cohen’s d for analyzing gains on concept inventories

(2018) Jayson M. Nissen et al.   Physical Review Physics Education Research

Prediction and explanation in social systems

(2017) Jake M. Hofman et al.   SCIENCE

Unveiling Privilege to Broaden Participation

(2017) Rachel E. Scherr et al.   PHYSICS TEACHER

Exploring physics students’ engagement with online instructional videos in an introductory mechanics course

(2017) Shih-Yin Lin et al.   Physical Review Physics Education Research

Students’ epistemologies about experimental physics: Validating the Colorado Learning Attitudes about Science Survey for experimental physics

(2016) Bethany R. Wilcox et al.   Physical Review Physics Education Research

Beyond performance metrics: Examining a decrease in students’ physics self-efficacy through a social networks lens

(2016) Remy Dou et al.   Physical Review Physics Education Research

The Extent and Consequences of P-Hacking in Science

(2015) Megan L. Head et al.   PLOS BIOLOGY

yaImpute: AnRPackage forkNN Imputation

(2015) Nicholas L. Crookston et al.   Journal of Statistical Software

mice: Multivariate Imputation by Chained Equations inR

(2015) Stef van Buuren et al.   Journal of Statistical Software

Epistemology and expectations survey about experimental physics: Development and initial results

(2014) Benjamin M. Zwickl et al.   Physical Review Special Topics-Physics Education Research

Multiyear, multi-instructor evaluation of a large-class interactive-engagement curriculum

(2014) Michael J. Cahill et al.   Physical Review Special Topics-Physics Education Research

Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?

(2014) Claire L. Simons et al.   QUALITY OF LIFE RESEARCH

Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores

(2013) Jesper Bruun et al.   Physical Review Special Topics-Physics Education Research

Model-based boosting in R: a hands-on tutorial using the R package mboost

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

The Importance of Knowing When to Stop

(2012) A. Mayr et al.   METHODS OF INFORMATION IN MEDICINE

To Explain or to Predict?

(2011) Galit Shmueli   STATISTICAL SCIENCE

A physics department’s role in preparing physics teachers: The Colorado learning assistant model

(2010) Valerie Otero et al.   AMERICAN JOURNAL OF PHYSICS

Toward equity through participation in Modeling Instruction in introductory university physics

(2010) Eric Brewe et al.   Physical Review Special Topics-Physics Education Research