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CURRICULUM VITAE OF YANYAN SHENG

I. PROFESSIONAL AFFILIATION AND CONTACT INFORMATION

A. Present University Department or Unit: Quantitative Methods Department of Counseling, Quantitative Methods, and Special Education

B. Office Address:

College of Education and Human Services Southern Illinois University Mail Code 4618, Carbondale, IL 62901 Email: ysheng@siu.edu

II. EDUCATION

Ph.D. University of Missouri-Columbia 2005 Measurement & Statistics M.A. University of Missouri-Columbia 2004 Statistics M.A. University of Missouri-Columbia 2002 Educational Psychology B.A. Anhui University, China 1997 English

III. RESEARCH AND CREATIVE ACTIVITY

A. Interests and Specialties: • Psychometrics • Bayesian item response theory (IRT) modeling • Adaptive testing • Multivariate assessment

B. Grants:

Sheng, Y. (2015). Developing GPU-based Gibbs Samplers for IRT Models. SIUC Undergraduate Assistantship Program. $7,200. Sheng, Y. (2013). Developing High Performance Gibbs Samplers for IRT Models. SIUC Undergraduate Assistantship Program. $3,600. Sheng, Y. (2009). Modeling latent structure in multidimensional item response models with MCMC. SIUC Office of Research Development and Administration. $20,281. Teufel, J., Hartung, H., & Sheng, Y. (2008). HRSA Southern Illinois Rural Health Planning Grant. Southern Illinois Healthcare. $17,000. Beaujean, A. A., & Sheng, Y. (2007). Using Latent Variable Modeling to Assess the Flynn Effect. The Pioneer Fund. $38,207 . Sheng, Y. (2007). Distributed computing for MCMC with IRT models. SIUC Joint Women’s Studies and University Women’s Professional Advancement, Research, Scholarly and

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Creative Activity Awards. $600. Sheng, Y. (2006). Ability estimation in computerized adaptive testing. SIUC Office of Research Development and Administration. $13,718.

C. Honors and Awards: 2014 SIU College of Education and Human Services Scholar Excellence Award 2006 American Psychological Association Division 5 Dissertation Award

IV. PUBLICATIONS AND CREATIVE WORKS

A. Books: Loh, C. S., Sheng, Y., & Ifenthaler, D. (Eds.). (2015). Serious game analytics. Springer.

Sheng, Y. (2008). Bayesian IRT models with general and specific traits (Monograph). Germany: VDM Verlag Dr. Mueller.

B. Articles in Professional Journals: Sheng, Y. (2017). Editorial: Fitting psychometric models: Issues and new developments. Frontiers in

Psychology, to appear. doi: 10.3389/fpsyg.2017.00856

Sheng, Y. (2017). Investigating a weakly informative prior for item scale hyperparameters in hierarchical 3PNO IRT models. Frontiers in Psychology, 8, Article 123. doi: 10.3389/fpsyg.2017.00123

*Miyoshi, M., Asner-Self, K. K., Sheng, Y., & Koran, J. (2017). Psychometric properties of the Abbreviated Multidimensional Acculturation Scale and the Multigroup Ethnic Identity Measure with Japanese sojourners. Assessment, 24, 104-114. doi: 10.1177/1073191115601208

Loh, C. S., *Li, I-H., & Sheng, Y. (2016). Comparison of similarity measures to differentiate players’ actions and decision-making profiles in serious games analytics. Computers in Human Behavior, 64, 562-574. doi: 10.1016/j.chb.2016.07.024

*Kuo, T.-C., & Sheng, Y. (2016). A comparison of estimation methods for a multi-unidimensional graded response IRT model. Frontiers in Psychology, 7, Article 880. doi: 10.3389/fpsyg.2016.00880

Beaujean, A. A., Hull, D., Sheng, Y., Worrell, F. C., Bolen, J., & Verdisco, A. E. (2016). Psychometric properties of the Shipley Block Design task: A study with Jamaican young adults. Journal of Psychoeducational Assessment, 1-15. doi: 10.1177/0734282916643439

*Kuo, T.-C., & Sheng, Y. (2015). Bayesian estimation of a multi-unidimensional graded response IRT model. Bahaviormetrika, 42, 79-94.

Sheng, Y. (2015). Editorial: Preface to the special issue on Bayesian statistics in psychometrics. International Journal of Quantitative Research in Education, 2, 175-177.

Sheng, Y. (2015). Bayesian estimation of the four-parameter item response model. International Journal of Quantitative Research in Education, 2, 194-212. doi: 10.1504/IJQRE.2015.071736

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Loh, C. S., Sheng, Y., & *Li, I.-H. (2015). Predicting expert-novice performance as Serious Games Analytics: Objective-oriented vs. navigational (spatial-temporal) action sequences. Computers in Human Behavior, 49, 147-155.

Loh, C. S., & Sheng, Y. (2015). Measuring the (dis-)similarity between expert and novice behaviors as serious games analytics. Education and Information Technologies, 20(1), 5-19.

Sheng, Y., *Welling, W. S., & Zhu, M. M. (2014). A GPU-based Gibbs sampler for a unidimensional IRT model. ISRN Computational Mathematics, Article ID 368149, 1-11. doi: 10.1155/2014/368149.

Loh, C. S., & Sheng, Y. (2014). Maximum similarity index (MSI): A metric to differentiate the performance of novices vs. multiple-experts in serious games. Computers in Human Behavior, 39, 322–330. doi: 10.1016/j.chb.2014.07.022

May, M. E., Sheng, Y., Chitiyo, M., Howe, A., & Brandt, R. C. (2014). Internal consistency and inter-rater reliability of the questions about behavioral function (QABF) rating scale when used by teachers and paraprofessionals. Education and Treatment of Children, 37(2), 347-364.

Beaujean, A., & Sheng, Y. (2014). Assessing the Flynn Effect in the Wechsler Scales. Journal of Individual Differences, 35(2), 63-78. doi: 10.1027/1614-0001/a000128

Sheng, Y., & Headrick, T. C. (2013). Bayesian hierarchical modeling with 3PNO item response models. American Journal of Mathematics and Statistics, 3(5), 281-287. doi: 10.5923/j.ajms.20130305.05

Headrick, T. C., & Sheng, Y. (2013). A proposed measure of internal consistency reliability: Coefficient L-alpha. Behaviormetrik, 40(1), 57-68.

Sheng, Y. (2013). An empirical investigation of Bayesian hierarchical modeling with unidimensional IRT models. Behaviormetrika, 40(1), 19-40.

Sheng, Y., & *Rahimi, M. (2012). High performance Gibbs sampling for IRT models using row-wise decomposition. ISRN Computational Mathematics, vol. 2012, Article 264040, 1-9. doi: 10.5402/2012/264040.

Sheng, Y., & Headrick, T. C. (2012). A Gibbs sampler for the multidimensional item response model. ISRN Applied Mathematics, vol. 2012, Article 269385, 1-14. doi:10.5402/2012/269385.

*Patsias, K., *Rahimi, M., Sheng, Y., & Rahimi, S. (2012). Parallel Computing with a Bayesian Item Response Model. American Journal of Computational Mathematics, 2(2), 65-71. doi: 10.4236/ajcm.2012.22009.

Sheng, Y., & Sheng, Z. (2012). Is coefficient alpha robost to nonnormal data? Frontiers in Psychology, vol. 3, Article 34, 1-13. doi: 10.3389/fpsyg.2012.00034.

*Hodis, F. A., Headrick, T. C., & Sheng, Y. (2012). Power method distributions through conventional moments and L-moments. Applied Mathematical Sciences, 6(44), 2159 – 2193.

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*Tadlock-Mario, R. L., Zyromski, B., Asner-Self, K. K., Sheng, Y. (2012). One school, many differences: An assessment tool for school counselors and multiculturing counseling. International Journal for the Advancement of Counseling, 24, 1-17. doi: 10.1007/s10447-012-9177-1.

Sheng, Z., Sheng, Y., & Anderson, C. J. (2011). Dropping out of school among ELL students: Implications to schools and teacher education. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 84(3), 98-103.

Sheng, Y. (2010). A sensitivity analysis of Gibbs sampling for 3PNO IRT models: Effects of prior specifications on parameter estimates. Behaviormetrika, 37(2), 87-110.

Headrick, T. C., *Pant, M. D., & Sheng, Y. (2010). On simulating univariate and multivariate Burr Type III and Type XII distributions. Applied Mathematical Sciences, 4(45), 2207 - 2240.

Sheng, Y. (2010). Bayesian estimation of MIRT models with general and specific latent traits in MATLAB. Journal of Statistical Software, 34(3), 1-27, http://www.jstatsoft.org/v34/i03.

Beaujean, A., & Sheng, Y. (2010). Examining the Flynn effect in the General Social Survey vocabulary test using item response theory. Personality and Individual Differences, 48, 294-298.

Sheng, Y., & Headrick, T. C. (2009). Gibbs sampling for 2PNO multi-unidimensional item response theory models. Journal of Modern Applied Statistical Methods, 8(2), 646-658.

Sheng, Y., & Wikle, C. (2009). Bayesian IRT models incorporating general and specific abilities. Behaviormetrika, 36(1), 27-48.

Sheng, Y. (2008b). A MATLAB package for Markov chain Monte Carlo with a multi-unidimensional IRT model. Journal of Statistical Software, 28(10), 1-20, http://www.jstatsoft.org/v28/i10/.

Sheng, Y. (2008a). Markov chain Monte Carlo estimation of normal ogive IRT models in MATLAB. Journal of Statistical Software, 25(8), 1-15, http://www.jstatsoft.org/v25/i08.

Sheng, Y., & Wikle, C. (2008). Bayesian multidimensional IRT models with a hierarchical structure. Educational & Psychological Measurement, 68, 413-430.

Headrick, T. C., Kowalchuk, R. K., & Sheng, Y. (2008). Parametric probability densities and distribution functions for Tukey g-and-h transformations and their use for fitting data. Applied Mathematical Sciences, 2(9), 449–462.

Sheng, Y., & Headrick, T. C. (2007). An algorithm for implementing Gibbs sampling for 2PNO IRT models. Journal of Modern Applied Statistical Methods, 6, 341-349.

Sheng, Y., & Wikle, C. (2007). Comparing multi-unidimensional and unidimensional IRT models. Educational & Psychological Measurement, 67, 899-919.

Headrick, T. C., Sheng, Y., & *Hodis, F. A. (2007). Numerical computing and graphics for the power method transformation using Mathematica. Journal of Statistical Software, 19(3), 1-17.

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Espinosa, L. M., Laffey, J. M., Whittaker, T., & Sheng, Y. (2006). Technology in the Home and the Achievement of Young Children: Findings from the Early Childhood Longitudinal Study. Early Education and Development, 17, 421-441.

Osterlind, S., Miao, D., Sheng, Y., & Chia, R.C. (2004). Adapting Items Format for Cultural Effects in Translated Tests: Cultural Effects on Construct Validity of the Chinese versions of the MBTI. International Journal of Testing, 4(1), 61-73.

C. Chapters in Professional Books: Loh, C. S., Sheng, Y., & Ifenthaler, D. (2015). Serious Games Analytics: Theoretical framework. In

C. S. Loh, Sheng, Y., & D. Ifenthaler (Eds.), Serious Games Analytics (pp. 3-29). Springer.

Loh, C. S., & Sheng, Y. (2015). Assessing expert-novice performance with Serious Games: From data to insights. In C. S. Loh, Sheng, Y., & D. Ifenthaler (Eds.), Serious Games Analytics (pp. 101-134). Springer.

Sheng, Y., *Welling, W. S., & Zhu, M. M. (2015). GPU-accelerated computing with Gibbs sampler for the 2PNO IRT model. In L. A. van der Ark, D. M. Bolt, W.-C. Wang, J. M. Douglas, S.-M. Chow (Eds.), Quantitative Psychology Research (pp. 59-73). New York: Springer.

Sheng, Y. (2013). Bayesian estimation of the three-parameter multi-unidimensional model. In R. E. Millsap, L. A. van der Ark, D. M. Bolt, & C. M. Woods (Eds.), New Developments in Quantitative Psychology (pp. 69-84). New York: Springer.

Headrick, T. C., & Sheng, Y. (2013). An alternative to Cronbach’s alpha: A L-moment based measure of internal consistency reliability. In R. E. Millsap, L. A. van der Ark, D. M. Bolt, & C. M. Woods (Eds.), New Developments in Quantitative Psychology (pp. 17-28). New York: Springer.

Sheng, Y. (2007). Testing the assumptions of analysis of variance. In J. W. Osborne (Ed.), Best Practices in Quantitative Methods (pp. 324-340). LA: Sage.

D. Book Reviews: Sheng, Y. (2015). Book review: Bayesian item response modeling. Structural Equation Modeling: A

Multidisciplinary Journal, 22(3), 484-488. doi: 10.1080/10705511.2014.958047

E. Other: Loh, C. S., & Sheng, Y. (2013). Performance metrics for serious games – Will the (real) expert please

step forward? Conference Proceedings on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational & Serious Games (CGAMES), 202-206. doi: 10.1109/CGames.2013.6632633

Sheng, Y., & Sheng, Z. (2009). Item selection with biased-coin up-and-down designs. In D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing. http://www.psych.umn.edu/psylabs/catcentral/.

*Patsias, K., Sheng, Y., & Rahimi, S. (2009). A high performance Gibbs sampling algorithm for item response theory. Proceedings of the ISCA 22nd International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS 2009), 31-36.

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Sheng, Y., Flournoy, N., & Osterlind, S. (2007). Up-and-down procedures for approximating optimal designs in educational measurement. In D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing. http://www.psych.umn.edu/psylabs/catcentral/.

V. PROFESSIONAL SERVICE

A. Editorships: 1. Associate Editor for International Journal of Quantitative Research in Education (01/14 – present) 2. Associate Editor for Frontiers in Quantitative Psychology and Measurement (06/16 – present) 3. Guest Associate Editor for Frontiers in Quantitative Psychology and Measurement (05/15 – 02/16) 4. Guest Associate Editor for IJQRE (05/14 – 06/15) 5. Review Editor for Frontiers in Quantitative Psychology and Measurement (03/10 – 06/16)

B. Membership in Professional Associations: American Psychological Association (Div 5), 2007 – present Psychometric Society, 2006 – present American Educational Research Association (Div D), 2005 – present National Council on Measurement in Education, 2004 – present

Mid-west Educational Research Association, 2004 – 2005

C. Evaluation of Manuscripts for Journals and Book Publishers and of Grant Proposals for Agencies: 1. Ad Hoc Reviewer for Journals:

a. Educational Researcher (08/06 – 10/08) b. Behavior Research Methods (08/08 – 02/15) c. Educational & Psychological Measurement (08/08 – 12/15) d. Data Analysis and Classification (06/08 – 07/08) e. Journal of Educational & Behavioral Statistics (06/08 – 11/14) f. Psychological Methods (06/07 – 10/16) g. British Journal of Mathematical and Statistical Psychology (09/09 – 03/11) h. Measurement and Evaluation in Counseling and Development (01/13 – 02/13) i. British Journal of Education, Society & Behavioral Science (06/13 – 07/13) j. Psychological Assessment (06/13 – 08/14) k. Journal of Classifications (09/13 – 11/13) l. Applied Psychological Measurement (02/14 – 08/17) m. Intellectual and Developmental Disabilities (12/14 – 01/15) n. Computational Statistics and Data Analysis (07/15 – 05/16) o. Journal of Contextual Behavioral Science (09/15 – 02/16) p. Cogent Mathematics (05/16 – 06/16) q. Behaviormetrika (12/16 – 06/17) r. Journal of Mathematical Psychology (03/17 – 05/17)

2. Reviewer for Conferences:

a. American Educational Research Association (08/06 – 10/06) b. National Council on Measurement in Education (08/08 – 10/08)

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3. Reviewer for Book Publishers:

a. Sage: Multidimensional Item Response Theory (08/16 – 09/16) b. Routledge/Taylor and Francis: Educational and Psychological Measurement (11/15 – 12/15, 05/17 – 06/17) c. Chapman & Hall/CRC: Statistical Rethinking: A Bayesian Course with R Examples (12/14 – 01/15) d. Psychology Press Publications: Latent Variable Modeling Using R (9/12 – 10/12) e. Sage Publications: Hands On Data Analysis (06/11 – 07/11); Using SPSS for Social Statistics and Research Methods, Second Edition (02/10 – 03/10) f. a Book Chapter in Comprehensive Handbook of Multicultural School Psychology (09/03 – 10/03)

4. Reviewer for Grant Proposals for Agencies:

a. Methodology, Measurement, and Statistics Program at NSF (04/11 – 05/11, 03/12 – 04/12, 10/12 – 11/12, 03/13 – 04/13)