个人简介

Dr. Qiu Wang is an associate professor of quantitative research methodology at Syracuse University. From Experimental Psychology, Applied Statistics, to Educational Measurement and Quantitative Methods, Dr. Wang’s professional preparation and development has been a journey full of interdisciplinary research experiences. He has contributions and publications in five relevant areas: 1) Human development and empirical contemplative and mindfulness studies, technology use and human-computer interaction in organization settings; 2) Development of minorities in poverty, individuals with special needs, and racial and gender differences; 3) Intervention effect estimation and propensity score matching in program evaluation through synthetic cohort design and data with measurement errors in math/science education; 4) Large-scale modeling and (simulated) big-data analyses through structural equation modeling and data mining/classification methods; 5) Psychometrics and educational assessment using factor analysis and empirical Bayes. He has been serving as the outside evaluator and/or consultant on several projects funded by non-profit and federal agents including Department of Education, Institute of Educational Sciences (IES), National Institutes of Health (NIH), and National Science Foundation (NSF). He has been serving as a Co-/PI, co-investigator, senior/statistician personal on 11 finished/on-going grants from agencies including internal Collaboration for Unprecedented Success and Excellence (CUSE) Grant Program, NSF, AERA Research Program, Kuder Incorporated Research Grant, and the prestigious General Research Found in Hong Kong. Dr. Wang has published relevant/collaborative works in Behaviormetrika, Educational and Psychological Measurement, Developmental Psychology, Journal of Experimental Education, Journal of Career Assessment, Journal of Teacher Education, Computers & Education, Computers in Human Behavior, Educational technology research and development, Computers in the organizations, Journal of Educational Technology Development and Exchange, Journal of Learning Disabilities, and Remedial and Special Education. He was an Assistant Professor and served as the co-director of Purdue University Psychometric Instruction/Investigation Laboratory (PUPIL) in the College of Education at Purdue. He holds a Ph.D. in measurement and Quantitative Methods from Michigan State University (MSU), and two master’s degrees in Experimental Psychology (Peking University, China) and in Applied Statistics (MSU).