Comparability of computer-based and paper-and-pencil testing in K–12 reading assessments: A meta-analysis of testing mode effects S Wang, H Jiao, MJ Young, T Brooks, J Olson Educational and psychological measurement 68 (1), 5-24, 2008 | 294 | 2008 |
A meta-analysis of testing mode effects in grade K-12 mathematics tests S Wang, H Jiao, MJ Young, T Brooks, J Olson Educational and Psychological Measurement 67 (2), 219-238, 2007 | 182 | 2007 |
Cavity-enhanced spectroscopy in optical fibers M Gupta, H Jiao, A O’Keefe Optics letters 27 (21), 1878-1880, 2002 | 128 | 2002 |
Cognitive diagnosis modelling incorporating item response times P Zhan, H Jiao, D Liao British Journal of Mathematical and Statistical Psychology 71 (2), 262-286, 2018 | 118 | 2018 |
Construct Validity and Measurement Invariance of Computerized Adaptive Testing: Application to Measures of Academic Progress (MAP) Using Confirmatory Factor Analysis. S Wang, M McCall, H Jiao, G Harris Online Submission, 2012 | 100 | 2012 |
Using the Stan program for Bayesian item response theory Y Luo, H Jiao Educational and psychological measurement 78 (3), 384-408, 2018 | 96 | 2018 |
Using JAGS for Bayesian cognitive diagnosis modeling: A tutorial P Zhan, H Jiao, K Man, L Wang Journal of Educational and Behavioral Statistics 44 (4), 473-503, 2019 | 84 | 2019 |
Data mining techniques in analyzing process data: A didactic X Qiao, H Jiao Frontiers in psychology 9, 2231, 2018 | 76 | 2018 |
A multilevel testlet model for dual local dependence H Jiao, A Kamata, S Wang, Y Jin Journal of Educational Measurement 49 (1), 82-100, 2012 | 66 | 2012 |
Broadband ringdown spectral photography JJ Scherer, JB Paul, H Jiao, A O’Keefe Applied optics 40 (36), 6725-6732, 2001 | 64 | 2001 |
Features of difficult-to-score essays EW Wolfe, T Song, H Jiao Assessing Writing 27, 1-10, 2016 | 63 | 2016 |
A longitudinal higher-order diagnostic classification model P Zhan, H Jiao, D Liao, F Li Journal of Educational and Behavioral Statistics 44 (3), 251-281, 2019 | 56 | 2019 |
Modeling local item dependence with the hierarchical generalized linear model. H Jiao, S Wang, A Kamata Journal of applied measurement 6 (3), 311-321, 2005 | 51 | 2005 |
Applying multidimensional item response theory models in validating test dimensionality: An example of K–12 large-scale science assessment Y Li, H Jiao, RW Lissitz Journal of Applied Testing Technology 13 (2), 2012 | 42 | 2012 |
Mapping background variables with sequential patterns in problem-solving environments: An investigation of United States adults’ employment status in PIAAC D Liao, Q He, H Jiao Frontiers in Psychology 10, 646, 2019 | 40 | 2019 |
Exploring levels of performance using the mixture Rasch model for standard setting1 H Jiao, RW Lissitz, G Macready, S Wang, S Liang Psychological Test and Assessment Modeling 53 (4), 499, 2011 | 35 | 2011 |
Joint modeling of compensatory multidimensional item responses and response times K Man, JR Harring, H Jiao, P Zhan Applied Psychological Measurement 43 (8), 639-654, 2019 | 34 | 2019 |
Exploring the utility of background and cognitive variables in explaining latent differential item functioning: An example of the PISA 2009 reading assessment YF Chen, H Jiao Educational Assessment 19 (2), 77-96, 2014 | 34 | 2014 |
Estimation methods for one‐parameter testlet models H Jiao, S Wang, W He Journal of Educational Measurement 50 (2), 186-203, 2013 | 34 | 2013 |
What hath the coronavirus brought to assessment? Unprecedented challenges in educational assessment in 2020 and years to come H Jiao, RW Lissitz Educational Measurement: Issues and Practice 39 (3), 45-48, 2020 | 33 | 2020 |