R. Philip Chalmers
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mirt: A multidimensional item response theory package for the R environment
RP Chalmers
Journal of Statistical Software 48 (6), 1-29, 2012
Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis
DB Flora, C LaBrish, RP Chalmers
Frontiers in Psychology 3, 55, 2012
Family hardiness, social support, and self-efficacy in mothers of individuals with autism spectrum disorders
JA Weiss, S Robinson, S Fung, A Tint, P Chalmers, Y Lunsky
Research in Autism Spectrum Disorders 7 (11), 1310-1317, 2013
Generating adaptive and non-adaptive test interfaces for multidimensional item response theory applications
RP Chalmers
Journal of Statistical Software 71 (5), 1-38, 2016
It might not make a big DIF: Improved differential test functioning statistics that account for sampling variability
RP Chalmers, A Counsell, DB Flora
Educational and Psychological Measurement 76 (1), 114-140, 2016
On misconceptions and the limited usefulness of ordinal alpha
RP Chalmers
Educational and Psychological Measurement 78 (6), 1056-1071, 2018
Extended mixed‐effects item response models with the MH‐RM algorithm
RP Chalmers
Journal of Educational Measurement 52 (2), 200-222, 2015
Maximum-likelihood estimation of noncompensatory IRT models with the MH-RM algorithm
RP Chalmers, DB Flora
Applied Psychological Measurement 38 (5), 339-358, 2014
Play it again: Teaching statistics with Monte Carlo simulation
MJ Sigal, RP Chalmers
Journal of Statistics Education 24 (3), 136-156, 2016
Writing effective and reliable Monte Carlo simulations with the SimDesign package
RP Chalmers, MC Adkins
Numerical approximation of the observed information matrix with Oakes' identity
RP Chalmers
British Journal of Mathematical and Statistical Psychology 71 (3), 415-436, 2018
Plausible-value imputation statistics for detecting item misfit
RP Chalmers
Applied Psychological Measurement 41 (5), 372-387, 2017
mirtCAT: computerized adaptive testing with multidimensional item response theory
RP Chalmers
R package version 0.6 1, 2015
Model selection of nested and non-nested item response models using Vuong tests
L Schneider, RP Chalmers, R Debelak, EC Merkle
Multivariate behavioral research 55 (5), 664-684, 2020
Fitting item response unfolding models to Likert-scale data using mirt in R
CW Liu, RP Chalmers
PloS one 13 (5), e0196292, 2018
faoutlier: An R package for detecting influential cases in exploratory and confirmatory factor analysis
RP Chalmers, DB Flora
Applied Psychological Measurement 39 (7), 573, 2015
Improving the crossing-SIBTEST statistic for detecting non-uniform DIF
RP Chalmers
psychometrika 83 (2), 376-386, 2018
Profile-likelihood confidence intervals in item response theory models
RP Chalmers, J Pek, Y Liu
Multivariate Behavioral Research 52 (5), 533-550, 2017
Model-based measures for detecting and quantifying response bias
RP Chalmers
psychometrika 83 (3), 696-732, 2018
On the relationship between confidence sets and exchangeable weights in multiple linear regression
J Pek, RP Chalmers, G Monette
Multivariate behavioral research 51 (6), 719-739, 2016
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