Yang Liu, Ph.D. School of Social Sciences, Humanities and Arts University of California, Merced

Transcription

1 , Ph.D. Department of Human Development and Quantitative Methodology 3942 Campus Drive University of Maryland College Park, MD Office: 1230B Benjamin Building Phone: (301) Fax: (301) Website: Education 05/2015 Ph.D. in Psychology The University of North Carolina at Chapel Hill 05/2014 M.S. in Statistics The University of North Carolina at Chapel Hill 12/2011 M.A. in Psychology The University of North Carolina at Chapel Hill 06/2009 B.S. in Psychology Peking University Professional History 08/2017 Assistant Professor Department of Human Development and Quantitative Methodology University of Maryland, College Park 07/ /2017 Assistant Professor Awards School of Social Sciences, Humanities and Arts University of California, Merced 07/2016 Dissertation Prize Psychometric Society 04/2016 Outstanding Quantitative Dissertation Award Division D, American Educational Research Association 01/2016 Dean s Distinguished Dissertation Award Graduate School, UNC-CH 11/2015 Lyle V. Jones Award L. L. Thurstone Psychometric Laboratory, UNC-CH 09/ /2015 Gulliksen Psychometric Research Fellowship Journal Articles: Methodology Magnus, B. and Liu, Y. (2017). Educational Testing Service A zero-inflated Box-Cox normal unipolar item response model for measuring constructs of psychopathology. Applied Psychological Measurement. Accepted Page 1 March 9, 2018

2 Chen, Y., Liu, Y., and Xu, S. (2017). Mutual information reliability for latent class analysis. Applied Psychological Measurement. Advance online publication. doi: / Liu, Y. and Yang, J. S. (2017a). Bootstrap-calibrated interval estimates for latent variable scores in item response theory. Psychometrika. Advance online publication. doi: /s Liu, Y. and Yang, J. S. (2017b). Interval estimation of scale scores in item response theory. Journal of Educational and Behavioral Statistics. Advance online publication. doi: / Chalmers, R. P., Pek, J., and Liu, Y. (2017). Profile-likelihood confidence intervals in item response theory models. Multivariate Behavioral Research, 52(5): Wang, X., Liu, Y., and Hambleton, R. K. (2017). Detecting candidate preknowledge of items using a predictive checking method. Applied Psychological Measurement. Advance online publication Liu, Y. and Hannig, J. (2017). Generalized fiducial inference for logistic graded response models. Psychometrika, 82(4): Liu, Y. and Hannig, J. (2016). Generalized fiducial inference for binary logistic item response models. Psychometrika, 81(2): Liu, Y., Magnus, B. E., and Thissen, D. (2016). Modeling and testing differential item functioning in unidimensional binary item response models with a single continuous covariate: A functional data analysis approach. Psychometrika, 81(2): Maydeu-Olivares, A. and Liu, Y. (2015). Psychological methods, 20(2): Item diagnostics in multivariate discrete data. Liu, Y. and Thissen, D. (2014). Comparing score tests and other local dependence diagnostics for the graded response model. British Journal of Mathematical and Statistical Psychology, 67(3): Liu, Y. and Maydeu-Olivares, A. (2014). Identifying the source of misfit in item response theory models. Multivariate Behavioral Research, 49(4): Liu, Y. and Hannig, J. (2014). Abstract: Generalized fiducial inference for binary logistic item response models. Multivariate Behavioral Research, 49(3):290 Liu, Y. and Maydeu-Olivares, A. (2013). Local dependence diagnostics in IRT modeling of binary data. Educational and Psychological Measurement, 73(2): Liu, Y. and Thissen, D. (2012). Identifying local dependence with a score test statistic based on the bifactor logistic model. Applied Psychological Measurement, 36(8): Journal Articles: Application Page 2 March 9, 2018

3 Magnus, B. E., Liu, Y., He, J., Quinn, H., Thissen, D., Gross, H. E., DeWalt, D. A., and Reeve, B. B. (2016). Mode effects between computer self-administration and telephone interviewer-administration of the PROMIS R pediatric measures, self-and proxy report. Quality of Life Research, 25(7): Reeve, B. B., Thissen, D., DeWalt, D. A., Huang, I.-C., Liu, Y., Magnus, B., Quinn, H., Gross, H. E., Kisala, P. A., Ni, P., Haley, S., Mulcahey, M., Charlifue, S., Hanks, R. A., Slavin, M., Jette, A., and Tulsky, D. S. (2016). Linkage between the PROMIS R pediatric and adult emotional distress measures. Quality of Life Research, 25(4): Thissen, D., Liu, Y., Magnus, B., Quinn, H., Gipson, D. S., Dampier, C., Huang, I.-C., Hinds, P. S., Selewski, D. T., Reeve, B. B., Gross, H. E., and DeWalt, D. A. (2015b). Estimating minimally important difference (MID) in PROMIS pediatric measures using the scale-judgment method. Quality of Life Research, 25(1):13 23 Selewski, D. T., Troost, J. P., Massengill, S. F., Gbadegesin, R. A., Greenbaum, L. A., Shatat, I. F., Cai, Y., Kapur, G., Hebert, D., Somers, M. J., Trachtman, H., Pais, P., Seifert, M. E., Goebel, J., Sethna, C. B., Mahan, J. D., Gross, H. E., Herreshoff, E., Liu, Y., Song, P. X., Reeve, B. B., DeWalt, D. A., and Gipson, D. S. (2015). The impact of disease duration on quality of life in children with nephrotic syndrome: a midwest pediatric nephrology consortium study. Pediatric Nephrology, 30(9): Varni, J. W., Thissen, D., Stucky, B. D., Liu, Y., Magnus, B., He, J., DeWitt, E. M., Irwin, D. E., Lai, J.-S., Amtmann, D., and DeWalt, D. A. (2015). Item-level informant discrepancies between children and their parents on the PROMIS pediatric scales. Quality of Life Research, 24(8): Quinn, H., Thissen, D., Liu, Y., Magnus, B., Lai, J.-S., Amtmann, D., Varni, J. W., Gross, H. E.,, and DeWalt, D. A. (2014). Using item response theory to enrich and expand the PROMIS pediatric self report banks. Health and Quality of Life Outcomes, 12:160 Selewski, D. T., Massengill, S. F., Troost, J. P., Wickman, L., Messer, K. L., Herreshoff, E., Bowers, C., Ferris, M. E., Mahan, J. D., Greenbaum, L. A., MacHardy, J., Kapur, G., Chand, D. H., Goebel, J., Barletta, G. M., Geary, D., Kershaw, D. B., Pan, C. G., Gbadegesin, R., Hidalgo, G., Lane, J. C., Leiser, J. D., Song, P. X., Thissen, D., Liu, Y., Gross, H. E., DeWalt, D. A., and Gipson, D. S. (2014). Gaining the patient reported outcomes measurement information system (promis) perspective in chronic kidney disease: a midwest pediatric nephrology consortium study. Pediatric Nephrology, 29(12): Varni, J. W., Magnus, B., Stucky, B. D., Liu, Y., Quinn, H., Thissen, D., Gross, H. E., Huang, I.-C., and DeWalt, D. A. (2014a). Psychometric properties of the PROMIS pediatric scales: precision, stability, and comparison of different scoring and administration options. Quality of Life Research, 23(4): Page 3 March 9, 2018

4 Varni, J. W., Thissen, D., Stucky, B. D., Liu, Y., Magnus, B., Quinn, H., Irwin, D. E., DeWitt, E. M., Lai, J.-S., Amtmann, D., Gross, H. E., and DeWalt, D. A. (2014b). PROMIS parent proxy report scales for children ages 5 7 years: an item response theory analysis of differential item functioning across age groups. Quality of Life Research, 23(1): Gipson, D., Selewski, D., Massengill, S., Wickman, L., Messer, K., Herreshoff, E., Bowers, C., Ferris, M., Mahan, J., Greenbaum, L., MacHardy, J., Kapur, G., Chand, D., Goebel, J., Barletta, G., Geary, D., Kershaw, D., Pan, C., Gbadegesin, R., Hidalgo, G., Lane, J., Leiser, J., Plattner, B., Song, P., Thissen, D., Liu, Y., Gross, H. E., and DeWalt, D. A. (2013). Gaining the PROMIS perspective from children with nephrotic syndrome: a midwest pediatric nephrology consortium study. Health and Quality of Life Outcomes, 11(1):11 30 Hinds, P. S., Nuss, S. L., Ruccione, K. S., Withycombe, J. S., Jacobs, S., DeLuca, H., Faulkner, C., Liu, Y., Cheng, Y. I., Gross, H. E., Wang, J., and DeWalt, D. A. (2013). PROMIS pediatric measures in pediatric oncology: Valid and clinically feasible indicators of patient-reported outcomes. Pediatric Blood & Cancer, 60(3): Varni, J. W., Thissen, D., Stucky, B. D., Liu, Y., Gorder, H., Irwin, D. E., DeWitt, E. M., Lai, J.-S., Amtmann, D., and DeWalt, D. A. (2012). PROMIS parent proxy report scales: an item response theory analysis of the parent proxy report item banks. Quality of Life Research, 21(7): Hu, Y., Gan, Y., and Liu, Y. (2012). How Chinese people infer helpers ambiguous intentions: Helper effort and interpersonal relationships. International Journal of Psychology, 47(5): Li, T. and Liu, Y. (2012). Calibrating group attachment scale: An application of item factor analysis. Acta Scientiarum Naturalium Universitatis Pekinensis, 48(2): Thissen, D., Varni, J. W., Stucky, B. D., Liu, Y., Irwin, D. E., and DeWalt, D. A. (2011). Using the PedsQL TM 3.0 asthma module to obtain scores comparable with those of the PROMIS pediatric asthma impact scale (PAIS). Quality of Life Research, 20(9): Book Chapters Yang, J. S., Morell, M., and Liu, Y. (2017). Constructed-response items. In Frey, B., editor, The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. SAGE Publications Inc Thissen, D., Liu, Y., Magnus, B., and Quinn, H. (2015a). Extending the use of multidimensional IRT calibration as projection: Many-to-one linking and linear computation of projected scores. In van der Ark, L. A., Bolt, D. M., Wang, W. C., Douglas, J. A., and Chow, S. M., editors, Quantitative Psychology Research. Springer, New York, NY Page 4 March 9, 2018

5 Liu, Y., Magnus, B., Quinn, H., and Thissen, D. (in press). Multidimensional item response theory. In Hughes, D., Irwing, P., and Booth, T., editors, Handbook of Psychometric Testing. Wiley-Blackwell Manuscripts Under Review Liu, Y., Hannig, J., and Majumder, A. P. Second-order probability matching priors for the person parameter in unidimensional item response theory models Liu, Y., Yang, J. S., and Maydeu-Olivares, A. Restricted recalibrations of item response theory models Zhang, S., Chen, Y., and Liu, Y. full-information item factor analysis An improved stochastic EM algorithm for large-scale Wang, X., Liu, Y., Robin, F., Guo, H., and Dorans, N. J. Detecting examinee preknowledge of items: A comparison of methods. Presentations Liu, Y. Restricted re-calibrations of item response theory models. Invited talk at the Ohio State University, Columbus, OH, USA, November 27, 2017 Liu, Y., Yang, J. S., and Maydeu-Olivares, A. Goodness of fit assessment under restricted re-calibration of item response models. Presentation at the International Meeting of the Psychometric Society, Zürich, Switzerland, July 17 21, 2017 Liu, Y. Prediction regions for latent variable scores in item response theory. Invited talk at University of California, Davis, CA, USA, June 1, 2017 Xu, S., Liu, Y., and Chen, Y. A pseudo-reliability coefficient for latent class models. Presentation at the Modern Modeling Methods Conference, Storrs, CT, USA, May 22 25, 2017 Liu, Y. and Yang, J. S. Bootstrap-calibrated prediction regions for scale scores in multidimensional item response theory. Presentation at the International Meeting of the Psychometric Society, San Antonio, TX, USA, April 26 30, 2017 Liu, Y. Generalized fiducial inference for graded response models. Invited talk at the International Meeting of the Psychometric Society, Asheville, NC, USA, July 11 15, 2016 Castaneda, R., Liu, Y., Zelinsky, N., Scott, J., Flinspach, S., and Vevea, J. L. Modeling and linking speeded tests: An application with the vase vocabulary tests. Presentation at the Modern Modeling Methods Conference, Storrs, CT, USA, May 23 26, 2016 Liu, Y. and Yang, J. S. Bootstrap-calibrated interval estimates for scale scores in item response theory. Presentation at the International Meeting of the Psychometric Society, Asheville, NC, USA, July 11 15, 2016 Page 5 March 9, 2018

6 Liu, Y. and Yang, J. S. Interval estimation of scale scores in item response theory. Presentation at the Annual Meeting of National Council on Measurement in Education, Washington, DC, USA, April 8-11, 2016 Magnus, B., Liu, Y., and Willoughby, M. Using response times to enhance the measurement of executive functioning. Presentation at the Annual Meeting of National Council on Measurement in Education, Washington, DC, USA, April 8-11, 2016 Wang, X., Robin, F., Liu, Y., Guo, H., and Dorans, N. J. Detecting examinee preknowledge of items: A comparison of methods. Presentation at the Annual Meeting of National Council on Measurement in Education, Washington, DC, USA, April 8-11, 2016 Wang, X., Liu, Y., and Hambleton, R. K. Detecting candidate preknowledge of items using a predictive checking method. Presentation at the International Meeting of the Psychometric Society, Beijing, China, July 12 16, 2015 Liu, Y. and Hannig, J. Generalized fiducial inference and its application in the graded response model. Presentation at the International Meeting of the Psychometric Society, Beijing, China, July 12 16, 2015 Liu, Y., Magnus, B., and Thissen, D. Semiparametric modeling and testing of differential item functioning (DIF). Presentation at the Annual Meeting of National Council on Measurement in Education, Chicago, IL, USA, April 15 19, 2015 Thissen, D., Liu, Y., Magnus, B., and Quinn, H. Extending the use of multidimensional IRT calibration as projection: Many-to-one linking and linear computation of projected scores. Presentation at the International Meeting of the Psychometric Society, Madison, WI, USA, July 21 25, 2014 Liu, Y., Magnus, B., and Thissen, D. Modeling differential item functioning in unidimensional binary item response models with a single continuous covariate: A functional data analysis approach. Presentation at the International Meeting of the Psychometric Society, Madison, WI, USA, July 21 25, 2014 Liu, Y. and Hannig, J. Generalized fiducial inference and its application in item response theory. Presentation at the International Meeting of the Psychometric Society, Madison, WI, USA, July 21 25, 2014 Liu, Y. and Hannig, J. Generalized fiducial inference for binary logistic item response models: Theory and application. Presentation at the Annual Meeting of the Society of Multivariate Experimental Psychology, St. Petersburg, FL, USA, October 17 19, 2013 Liu, Y. and Maydeu-Olivares, A. Identifying the source of misfit in item response theory models. Presentation at the Annual Meeting of the Society of Multivariate Experimental Psychology, St. Petersburg, FL, USA, October 17 19, 2013 Page 6 March 9, 2018

7 Liu, Y. and Maydeu-Olivares, A. Identifying the source of misfit in item response theory models. Presentation at the International Meeting of the Psychometric Society, Arnhem, the Netherlands, July 23 26, 2013 Magnus, B. and Liu, Y. The influence of parceling on the implied factor structure of multidimensional data. Presentation at the Modern Modeling Methods Conference, Storrs, CT, USA, May 21 22, 2013 Liu, Y. and Maydeu-Olivares, A. The use of quadratic form statistics of residuals to identify IRT model misfit in marginal subtables. Presentation at the International Meeting of the Psychometric Society, Lincoln, NE, USA, July 10 12, 2012 Liu, Y. and Thissen, D. Identifying local dependence with a score test statistic based on the bifactor two-parameter logistic model. Presentation at the International Meeting of the Psychometric Society, Hong Kong, China, July 18 22, 2011 Grant 01/2017 Methodology, Measurement, and Statistics (14-574) National Science Foundation Status: Submitted Title: Semi-parametric factor analysis for item responses and response times Role: PI 10/2017 Support Program for Advancing Research and Collaboration College of Education, University of Maryland, College Park Status: Awarded Title: Uncertainty Quantification in Two-stage Estimation of Latent Variable Models Role: PI 08/2016 Statistical and Research Methodology in Education (84.305D) Teaching Experience Institute of Education Sciences Status: Not awarded Title: Characterizing and Handling Different Sources of Uncertainty in the Use of Latent Variable Scores Role: Co-PI PI: Ji Seung Yang, University of Maryland Page 7 March 9, 2018

8 01/2018 EDMS 787: Bayesian Inference and Analysis University of Maryland, College Park 08/2017 EDMS 646: General Linear Models I University of Maryland, College Park 01/ /2017 PSY 10: Analysis of Psychological Data University of California, Merced 08/ /2017 PSY 212: Item Response Theory University of California, Merced Professional Service 12/2017 Ad hoc reviewer for Psychological Methods 05/2016 Ad hoc reviewer for British Journal of Math. and Stats. Psychology 06/2015 Ad hoc reviewer for Psychometrika 02/2015 Ad hoc reviewer for Journal of Educational and Behavioral Statistics 09/2014 Ad hoc reviewer for Multivariate Behavioral Research 07/2014 Ad hoc reviewer for Applied Psychological Measurement 09/2013 Ad hoc reviewer for Educational and Psychological Measurement University Service 8/2017 Graduate admission committee, EDMS, HDQM, UMCP 08/ /2017 Faculty hire search committee, Psychological Sciences, SSHA, UC Merced Page 8 March 9, 2018