Methodology Advisory Group

Purpose

The Methodology Advisory Group (MAG) is an important component of the Hong Kong Society of Behavioral Health (HKSBH), which aims to provide free consultation to its members on research methodology and statistical techniques. Its establishment also aims to encourage collaboration among researchers from inter-disciplinary backgrounds.

The MAG currently is composed of several key advisors who are experts in quantitative research. We may invite other advisors upon availability. If you are interested in becoming one of the advisors, please contact HKSBH at the email below.

Advisors of the MAG

Professor Shu Fai CHEUNG, Associate Professor, Department of Psychology, Faculty of Social Sciences, University of Macau

Professor Cheung’s main research area is meta-analysis. He is also interested in commonly used quantitative methods, such as structural equation modeling, psychometrics, and multiple regression. He is currently expanding his research to meta-analytic structural equation modeling.

Dr. Mark Hok Chio LAI, Assistant Professor, School of Education, University of Cincinnati

As a quantitative research methodologist, Dr. Lai’s research focuses on multilevel modeling and effect size estimation, structural equation modeling, measurement invariance, and causal inference.

Professor Kelvin TSOI, Associate Professor (by courtesy), JC School of Public Health and Primary Care, and a Research Associate Professor of the Big Data Decision Analytics Research Centre, Chinese University of Hong Kong

Professor Tsoi has joined the Big Data Decision Analytics Research Centre, Chinese University of Hong Kong since 2013. He is a trained biostatistician and his research interests lie in evidence-based medicine and big-data research on healthcare. He can support our members with meta-analysis and cost-effectiveness analysis.

Procedure

Members may contact our advisors via e-mail at mag.hksocbh@gmail.com with specific statistical or methodological questions. Please identify you name and institution and be as specific as possible in your request so we can discern which advisor is the most appropriate to address your questions. Upon receipt, our staff will forward your email to the advisor whose expertise best matches with your questions. Their responses are advisory in nature; the MAG will not carry out any specific analyses for members. Furthermore, responses from advisors alone do not oblige members to include the advisors as co-authors of any publications or co-investigators of grants. Members should follow the standard academic practice for authorship and granting other forms of recognition.

Disclaimers

As our advisors are currently providing their expert advices at a pro bono basis, responses from the advisors depend on their availability. There is no guarantee that your responses will be answered, or when it will be answered. There is also no guarantee that suggestions provided by the advisors would be error free. The HKSBH and the advisors bear no responsibility on any consequences related to applications of the suggestions provided by the MAG advisors.