| Hierarchical diagnostic classification models: A family of models for estimating and testing attribute hierarchies J Templin, L Bradshaw Psychometrika 79, 317-339, 2014 | 223 | 2014 |
| Measuring the reliability of diagnostic classification model examinee estimates J Templin, L Bradshaw Journal of Classification 30 (2), 251-275, 2013 | 184 | 2013 |
| Diagnosing teachers’ understandings of rational numbers: Building a multidimensional test within the diagnostic classification framework L Bradshaw, A Izsak, J Templin, E Jacobson Educational measurement: Issues and practice 33 (1), 2-14, 2014 | 165 | 2014 |
| Development and psychometric evaluation of the autism stigma and knowledge questionnaire (ASK-Q) AJ Harrison, LP Bradshaw, NC Naqvi, ML Paff, JM Campbell Journal of autism and developmental disorders 47, 3281-3295, 2017 | 144 | 2017 |
| Combining item response theory and diagnostic classification models: A psychometric model for scaling ability and diagnosing misconceptions L Bradshaw, J Templin Psychometrika 79, 403-425, 2014 | 105 | 2014 |
| The effects of Q-matrix design on classification accuracy in the log-linear cognitive diagnosis model MJ Madison, LP Bradshaw Educational and psychological measurement 75 (3), 491-511, 2015 | 103 | 2015 |
| Assessing growth in a diagnostic classification model framework MJ Madison, LP Bradshaw Psychometrika 83, 963-990, 2018 | 66 | 2018 |
| Comparison of relative fit indices for diagnostic model selection S Sen, L Bradshaw Applied psychological measurement 41 (6), 422-438, 2017 | 62 | 2017 |
| The impact of Q-matrix designs on diagnostic classification accuracy in the presence of attribute hierarchies R Liu, AC Huggins-Manley, L Bradshaw Educational and psychological measurement 77 (2), 220-240, 2017 | 62 | 2017 |
| An illustration of diagnostic classification modeling in student learning outcomes assessment DP Jurich, LP Bradshaw International Journal of Testing 14 (1), 49-72, 2014 | 59 | 2014 |
| Diagnostic classification models L Bradshaw The Wiley handbook of cognition and assessment: Frameworks, methodologies …, 2016 | 47 | 2016 |
| Surveying middle-grades teachers' reasoning about fraction arithmetic in terms of measured quantities A Izsák, E Jacobson, L Bradshaw Journal for Research in Mathematics Education 50 (2), 156-209, 2019 | 39 | 2019 |
| Invariance properties for general diagnostic classification models LP Bradshaw, MJ Madison International Journal of Testing 16 (2), 99-118, 2016 | 39 | 2016 |
| Interpreting probabilistic classifications from diagnostic psychometric models L Bradshaw, R Levy Educational Measurement: Issues and Practice 38 (2), 79-88, 2019 | 23 | 2019 |
| Evaluating intervention effects in a diagnostic classification model framework MJ Madison, L Bradshaw Journal of Educational Measurement 55 (1), 32-51, 2018 | 20 | 2018 |
| The use and misuse of psychometric models J Templin, L Bradshaw Psychometrika 79, 347-354, 2014 | 16 | 2014 |
| Combining scaling and classification: A psychometric model for scaling ability and diagnosing misconceptions LP Bradshaw, J Templin University of Georgia, 2011 | 15 | 2011 |
| A diagnostic classification model for polytomous attributes Y Bao, L Bradshaw University of Georgia, 2019 | 13 | 2019 |
| Flexible computerized adaptive tests to detect misconceptions and estimate ability simultaneously Y Bao, Y Shen, S Wang, L Bradshaw Applied Psychological Measurement 45 (1), 3-21, 2021 | 11 | 2021 |
| A semi-supervised learning-based diagnostic classification method using artificial neural networks K Xue, LP Bradshaw Frontiers in Psychology 11, 618336, 2021 | 9 | 2021 |
Jonathan TemplinUniversity of IowaПодтвержден адрес электронной почты в домене uiowa.edu