| mirt: A multidimensional item response theory package for the R environment RP Chalmers Journal of statistical Software 48 (6), 1-29, 2012 | 3047 | 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 | 372 | 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 | 275 | 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 | 156* | 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 | 144 | 2016 |
| 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 | 136* | 2020 |
| 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 | 122* | 2020 |
| On misconceptions and the limited usefulness of ordinal alpha RP Chalmers Educational and Psychological Measurement 78 (6), 1056-1071, 2018 | 109 | 2018 |
| Play it again: Teaching statistics with Monte Carlo simulation MJ Sigal, RP Chalmers Journal of Statistics Education 24 (3), 136-156, 2016 | 83 | 2016 |
| Extended mixed‐effects item response models with the MH‐RM algorithm RP Chalmers Journal of Educational Measurement 52 (2), 200-222, 2015 | 52 | 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 | 38 | 2014 |
| Fitting item response unfolding models to Likert-scale data using mirt in R CW Liu, RP Chalmers PloS one 13 (5), e0196292, 2018 | 37 | 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 | 36 | 2015 |
| Plausible-value imputation statistics for detecting item misfit RP Chalmers Applied Psychological Measurement 41 (5), 372-387, 2017 | 35 | 2017 |
| 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 | 32 | 2020 |
| Numerical approximation of the observed information matrix with Oakes' identity RP Chalmers British Journal of Mathematical and Statistical Psychology 71 (3), 415-436, 2018 | 32 | 2018 |
| Model-based measures for detecting and quantifying response bias RP Chalmers Psychometrika 83, 696-732, 2018 | 29 | 2018 |
| A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement N Smits, O Öğreden, M Garnier-Villarreal, CB Terwee, RP Chalmers Statistical Methods in Medical Research 29 (4), 1030-1048, 2020 | 28 | 2020 |
| Improving the crossing-SIBTEST statistic for detecting non-uniform DIF RP Chalmers Psychometrika 83, 376-386, 2018 | 24 | 2018 |
| The impact of measurement model misspecification on coefficient omega estimates of composite reliability SM Bell, RP Chalmers, DB Flora Educational and Psychological Measurement 84 (1), 5-39, 2024 | 19 | 2024 |
David B. FloraYork University確認したメール アドレス: yorku.ca