R. Philip Chalmers
Cited by
Cited by
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
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
The Quantitative Methods for Psychology 16 (4), 248-280, 2020
mirt: Multidimensional item response theory
P Chalmers, J Pritikin, A Robitzsch, M Zoltak, K Kim, CF Falk, A Meade
R package version 1 (1), 2020
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
Plausible-value imputation statistics for detecting item misfit
RP Chalmers
Applied Psychological Measurement 41 (5), 372-387, 2017
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
Fitting item response unfolding models to Likert-scale data using mirt in R
CW Liu, RP Chalmers
PloS one 13 (5), e0196292, 2018
Numerical approximation of the observed information matrix with Oakes' identity
RP Chalmers
British Journal of Mathematical and Statistical Psychology 71 (3), 415-436, 2018
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
A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement
N Smits, O ğreden, M Garnier-Villarreal, CB Terwee, RP Chalmers
Statistical Methods in Medical Research 29 (4), 1030-1048, 2020
Package ‘mirt’
P Chalmers, J Pritikin, A Robitzsch, M Zoltak, K KwonHyun, CF Falk, ...
Zugriff am 21 (01), 2016, 2015
Model-based measures for detecting and quantifying response bias
RP Chalmers
Psychometrika 83, 696-732, 2018
Improving the crossing-SIBTEST statistic for detecting non-uniform DIF
RP Chalmers
Psychometrika 83, 376-386, 2018
The system can't perform the operation now. Try again later.
Articles 1–20