| Serious games analytics: Theoretical framework CS Loh, Y Sheng, D Ifenthaler Serious games analytics: Methodologies for performance measurement …, 2015 | 372* | 2015 |
| Dropping out of school among ELL students: Implications to schools and teacher education Z Sheng, Y Sheng, CJ Anderson The Clearing House 84 (3), 98-103, 2011 | 221 | 2011 |
| Is coefficient alpha robust to non-normal data? Y Sheng, Z Sheng Frontiers in psychology 3, 34, 2012 | 198 | 2012 |
| Technology in the home and the achievement of young children: Findings from the early childhood longitudinal study LM Espinosa, JM Laffey, T Whittaker, Y Sheng Early education and development 17 (3), 421-441, 2006 | 163 | 2006 |
| Bayesian multidimensional IRT models with a hierarchical structure Y Sheng, CK Wikle Educational and psychological measurement 68 (3), 413-430, 2008 | 111 | 2008 |
| Comparing multiunidimensional and unidimensional item response theory models Y Sheng, CK Wikle Educational and Psychological Measurement 67 (6), 899-919, 2007 | 111 | 2007 |
| Parametric probability densities and distribution functions for Tukey g-and-h transformations and their use for fitting data TC Headrick, RK Kowalchuk, Y Sheng Applied Mathematical Sciences 2 (9), 449-462, 2008 | 79 | 2008 |
| Measuring the (dis-) similarity between expert and novice behaviors as serious games analytics CS Loh, Y Sheng Education and Information Technologies 20, 5-19, 2015 | 74 | 2015 |
| Maximum Similarity Index (MSI): A metric to differentiate the performance of novices vs. multiple-experts in serious games CS Loh, Y Sheng Computers in Human Behavior 39, 322-330, 2014 | 52 | 2014 |
| Measuring expert performance for serious games analytics: From data to insights CS Loh, Y Sheng Serious games analytics: Methodologies for performance measurement …, 2015 | 43 | 2015 |
| Comparison of similarity measures to differentiate players' actions and decision-making profiles in serious games analytics CS Loh, IH Li, Y Sheng Computers in Human Behavior 64, 562-574, 2016 | 40 | 2016 |
| A sensitivity analysis of Gibbs sampling for 3PNO IRT models: Effects of prior specifications on parameter estimates Y Sheng Behaviormetrika 37 (2), 87-110, 2010 | 40 | 2010 |
| Predicting expert–novice performance as serious games analytics with objective-oriented and navigational action sequences CS Loh, Y Sheng, IH Li Computers in Human Behavior 49, 147-155, 2015 | 39 | 2015 |
| Bayesian IRT models incorporating general and specific abilities Y Sheng, CK Wikle Behaviormetrika 36 (1), 27-48, 2009 | 37 | 2009 |
| Examining the Flynn effect in the general social survey vocabulary test using item response theory AA Beaujean, Y Sheng Personality and Individual Differences 48 (3), 294-298, 2010 | 34 | 2010 |
| Markov chain Monte Carlo estimation of normal ogive IRT models in MATLAB Y Sheng Journal of Statistical Software 25, 1-15, 2008 | 30 | 2008 |
| On simulating univariate and multivariate Burr Type III and Type XII distributions TC Headrick, M Pant, Y Sheng Hikari Ltd,, 2010 | 27 | 2010 |
| Numerical computing and graphics for the power method transformation using Mathematica TC Headrick, Y Sheng, FA Hodis Journal of Statistical Software 19, 1-17, 2007 | 26 | 2007 |
| A MATLAB package for Markov chain Monte Carlo with a multi-unidimensional IRT model Y Sheng Journal of Statistical Software 28, 1-20, 2008 | 25 | 2008 |
| A comparison of estimation methods for a multi-unidimensional graded response IRT model TC Kuo, Y Sheng Frontiers in Psychology 7, 880, 2016 | 24 | 2016 |
