| The health literacy of parents in the United States: a nationally representative study HS Yin, M Johnson, AL Mendelsohn, MA Abrams, LM Sanders, BP Dreyer Pediatrics 124 (Supplement_3), S289-S298, 2009 | 500 | 2009 |
| Posterior predictive assessment of item response theory models S Sinharay, MS Johnson, HS Stern Applied Psychological Measurement 30 (4), 298-321, 2006 | 281 | 2006 |
| The hierarchical rater model for rated test items and its application to large-scale educational assessment data RJ Patz, BW Junker, MS Johnson, LT Mariano Journal of Educational and Behavioral Statistics 27 (4), 341-384, 2002 | 265 | 2002 |
| Classical multilevel and Bayesian approaches to population size estimation using multiple lists SE Fienberg, MS Johnson, BW Junker Journal of the Royal Statistical Society: Series A (Statistics in Society …, 1999 | 191 | 1999 |
| A hierarchical rater model for constructed responses, with a signal detection rater model LT DeCarlo, YK Kim, MS Johnson Journal of Educational Measurement 48 (3), 333-356, 2011 | 111 | 2011 |
| Marginal maximum likelihood estimation of item response models in R MS Johnson Journal of Statistical Software 20, 1-24, 2007 | 102 | 2007 |
| Upward mobility: A typology of tactics and strategies for career advancement RL Laud, M Johnson Career Development International 17 (3), 231-254, 2012 | 84 | 2012 |
| Calibrating item families and summarizing the results using family expected response functions S Sinharay, MS Johnson, DM Williamson Journal of Educational and Behavioral Statistics 28 (4), 295-313, 2003 | 80 | 2003 |
| The changing nature of managerial skills, mindsets and roles: Advancing theory and relevancy for contemporary managers R Laud, J Arevalo, M Johnson Journal of Management & Organization 22 (4), 435-456, 2016 | 53 | 2016 |
| Calibration of polytomous item families using Bayesian hierarchical modeling MS Johnson, S Sinharay Applied Psychological Measurement 29 (5), 369-400, 2005 | 53 | 2005 |
| Simulation studies applying posterior predictive model checking for assessing fit of the common item response theory models S Sinharay, MS Johnson ETS Research Report Series 2003 (2), i-55, 2003 | 53 | 2003 |
| Journey to the top: Are there really gender differences in the selection and utilization of career tactics? RL Laud, M Johnson Journal of Organizational Culture, Communications and Conflict 17 (1), 51, 2013 | 48 | 2013 |
| Assessment of fit of item response theory models used in large-scale educational survey assessments PW van Rijn, S Sinharay, SJ Haberman, MS Johnson Large-Scale Assessments in Education 4, 1-23, 2016 | 47 | 2016 |
| A Bayesian hierarchical model for large‐scale educational surveys: An application to the National Assessment of Educational Progress MS Johnson, F Jenkins ETS Research Report Series 2004 (2), i-28, 2004 | 45 | 2004 |
| Statistical modeling of automatically generated items S Sinharay, MS Johnson Automatic item generation, 183-195, 2012 | 43 | 2012 |
| Using data augmentation and Markov chain Monte Carlo for the estimation of unfolding response models MS Johnson, BW Junker Journal of Educational and Behavioral Statistics 28 (3), 195-230, 2003 | 39 | 2003 |
| The use of item scores and response times to detect examinees who may have benefited from item preknowledge S Sinharay, MS Johnson British Journal of Mathematical and Statistical Psychology 73 (3), 397-419, 2020 | 34 | 2020 |
| Measures of agreement to assess attribute‐level classification accuracy and consistency for cognitive diagnostic assessments MS Johnson, S Sinharay Journal of Educational Measurement 55 (4), 635-664, 2018 | 33 | 2018 |
| Discrimination and classification RC Neath, MS Johnson Elsevier, 2010 | 32 | 2010 |
| Use of item models in a large-scale admissions test: A case study S Sinharay, MS Johnson International Journal of Testing 8 (3), 209-236, 2008 | 32 | 2008 |
Sandip SINHARAYEducational Testing ServiceVerified email at ets.org
