| Predicting the difficulty of multiple choice questions in a high-stakes medical exam V Yaneva, P Baldwin, J Mee Proceedings of the fourteenth workshop on innovative use of NLP for building …, 2019 | 57 | 2019 |
| Predicting the difficulty and response time of multiple choice questions using transfer learning K Xue, V Yaneva, C Runyon, P Baldwin Proceedings of the fifteenth workshop on innovative use of NLP for building …, 2020 | 39 | 2020 |
| Predicting item survival for multiple choice questions in a high-stakes medical exam V Yaneva, P Baldwin, J Mee Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 28 | 2020 |
| Using natural language processing to predict item response times and improve test construction P Baldwin, V Yaneva, J Mee, BE Clauser, LA Ha Journal of Educational Measurement 58 (1), 4-30, 2021 | 24 | 2021 |
| Using item response time data in test development and validation: Research with beginning computer users AL Zenisky, P Baldwin Center for educational assessment report No 593, 2006 | 24 | 2006 |
| Massachusetts adult proficiency tests technical manual, version 2 SG Sireci, P Baldwin, A Martone, AL Zenisky, L Kaira, W Lam, CL Shea, ... Center for Educational Assessment Research Report No 677, 2008 | 19 | 2008 |
| Hip psychometrics P Baldwin, J Bernstein, H Wainer Statistics in Medicine 28 (17), 2277-2292, 2009 | 18 | 2009 |
| Comparison of automated scoring methods for a computerized performance assessment of clinical judgment P Harik, P Baldwin, B Clauser Applied Psychological Measurement 37 (8), 587-597, 2013 | 17 | 2013 |
| A comparison of IRT equating methods on recovering item parameters and growth in mixed-format tests SG Baldwin, P Baldwin, ML Nering annual meeting of the American Educational Research Association, Chicago, IL, 2007 | 17 | 2007 |
| A comparison of experimental and observational approaches to assessing the effects of time constraints in a medical licensing examination P Harik, BE Clauser, I Grabovsky, P Baldwin, MJ Margolis, D Bucak, ... Journal of Educational Measurement 55 (2), 308-327, 2018 | 16 | 2018 |
| Weighting components of a composite score using naïve expert judgments about their relative importance P Baldwin Applied Psychological Measurement 39 (7), 539-550, 2015 | 14 | 2015 |
| An experimental study of the internal consistency of judgments made in bookmark standard setting BE Clauser, P Baldwin, MJ Margolis, J Mee, M Winward Journal of Educational Measurement 54 (4), 481-497, 2017 | 13 | 2017 |
| Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment V Yaneva, P Baldwin, DP Jurich, K Swygert, BE Clauser Academic Medicine, 10.1097, 2023 | 10 | 2023 |
| A strategy for developing a common metric in item response theory when parameter posterior distributions are known P Baldwin Journal of Educational Measurement 48 (1), 1-11, 2011 | 10 | 2011 |
| The effect of rating unfamiliar items on Angoff passing scores JC Clauser, RK Hambleton, P Baldwin Educational and psychological measurement 77 (6), 901-916, 2017 | 9 | 2017 |
| Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions V Yaneva, K North, P Baldwin, S Rezayi, Y Zhou, SR Choudhury, P Harik, ... Proceedings of the 19th Workshop on Innovative Use of NLP for Building …, 2024 | 8 | 2024 |
| The choice of response probability in bookmark standard setting: an experimental study P Baldwin, MJ Margolis, BE Clauser, J Mee, M Winward Educational Measurement: Issues and Practice 39 (1), 37-44, 2020 | 8 | 2020 |
| Assessing the impact of modifications to the documentation component’s scoring rubric and rater training on USMLE integrated clinical encounter scores SG Baldwin, P Harik, LA Keller, BE Clauser, P Baldwin, TA Rebbecchi Academic Medicine 84 (10), S97-S100, 2009 | 7 | 2009 |
| Massachusetts adult proficiency tests technical manual SG Sireci, P Baldwin, A Martone, A Zenisky, RK Hambleton, KT Han Center for Educational Assessment, University of Massachusetts Amherst, 2006 | 6 | 2006 |
| A modified IRT model intended to improve parameter estimates under small sample conditions P Baldwin annual meeting of the National Council on Measurement in Education, San …, 2006 | 6 | 2006 |
