Jump to Main Content
Decrease font size Reset font size Increase font size
Ontario Institute for Studies in Education, University of Toronto Home| OISE| U of T| Portal| Site Map
INSPIRING EDUCATION | oise.utoronto.ca
Applied Psychology and Human Development

Faculty

Professor Hong is currently on maternity leave

Guanglei Hong
Associate Professor (DPE)
OISE/UT Room: 9-184

(416) 978-103
Fax: (416) 926-4713

ghong@oise.utoronto.ca

Keywords

Quantitative research methodology; Causal inference theories and methods; Experimental and quasi-experimental designs; Multi-level modeling; Longitudinal data analysis; Policy and program evaluation; Instructional effectiveness

Research Projects/Activities

My research has received support from the SSHRC, the Spencer Foundation, and the National Academy of Education, among other sources of funding. For information on Dr Hong's research activities see http://home.oise.utoronto.ca/~ghong

Research Interests

My focal interest is in developing causal inference theories and methods for evaluating educational policies and instructional programs in multi-level, longitudinal settings. My work addresses issues including

(1)     how to conceptualize and evaluate the causal effects of educational treatments when students’ responses to alternative treatments depend on various features of the organizational settings,

(2)     how to adjust for selection bias in estimating the effects of concurrent multi-valued educational treatments,

(3)     how to study the cumulative effects of instruction as time-varying treatments for students, and

(4)     how to conceptualize and analyze the mediating role of implementation in evaluating educational interventions.

Applied/Clinical Interests

Because advancements in quantitative research methods are best illustrated and utilized through empirical investigations of prominent educational issues, I communicate with a broad audience through applying the causal inference methods to studies of specific policies and instructional practices such as grade retention, within-class grouping, and intensive math instruction.

Specialty Courses

HDP3227 Multi-Level Modeling for Social Scientific and Educational Research
HDP1238 Causal Inference
HDP1238 Structural Equation Modeling
HDP1287 Introduction to Applied Statistics
HDP1288 Intermediate Statistics

Representative Publications

Hong, G., & Yu, B. (In Press). Early Grade Retention and Children’s Reading and Math Learning in Elementary Years. Educational Evaluation and Policy Analysis.

Hong, G., & Raudenbush, S. W. (In Press). Causal inference for time-varying instructional treatments. Journal of Educational and Behavioral Statistics.

Hong, G., & Raudenbush, S. W. (2006). Evaluating kindergarten retention policy: A case study of causal inference for multi-level observational data. Journal of the American Statistical Association, 101(475), 901-910.

Hong, G., & Raudenbush, S. W. (2005). Effects of kindergarten retention policy on children's cognitive growth in reading and mathematics. Educational Evaluation and Policy Analysis, 27(3), 205-224.

 

OISEcms v.1.0 | Site last updated: Wednesday, September 17, 2014 Disclaimer

© OISE University of Toronto
Ontario Institute for Studies in Education, University of Toronto, 252 Bloor Street West, Toronto, Ontario M5S 1V6 CANADA