Position: Postdoc fellowship or visiting scholars fellowship at the Research Center for Early Childhood Education and Child Development in University of Macau
Job duty: Guide graduate assistants on how to manage a large, longitudinal dataset; Conduct statistical analysis and write research findings based on a longitudinal dataset (for details see abstract of the project below). Lots of publication opportunities as the first author or coauthors according to the applicant’s scholarly contributions.
Highly preferred if the applicant can use some of the following statistical methods:
· Growth modeling: e.g., Latent Growth Modeling (LGM);
· Hierarchical Linear Modeling (HLM);
· Heterogeneous trajectory analysis: e.g., Latent Class Growth Analysis (LCGA); Latent Growth Mixture Modeling (LGMM); Cross-lagged panel model
· Mediation and moderation analysis
· Psychometric analysis (Reliabilities; Exploratory factor analysis (EFA); Confirmatory factor analysis (CFA);
Monthly salary: 25,000 -35,000 MOP (4380 USD) per month depend on professional experiences
Accommodations: international travel and boarding are fully paid for
Duration: three months to three years
A Longitudinal Study on the Effects of Preschool Program Quality on Children’s Learning and Development Outcomes
Project PIs: Bi Ying HU(PI): http://www.umac.mo/fed/staff/hubiying/index.htm
Xitao FAN (Co-PI): http://www.umac.mo/fed/staff/xtfan/index.htm
This project uses a longitudinal approach to investigate the effects of preschool program quality on children’s learning and development outcomes within a three-year timeframe. Situated in Guangdong Province and Macao, a total of 80 preschools will be randomly selected to participate in the study. Within each sampled school, one classroom for 3-year-olds will be selected for inclusion in the study. The quality of preschool program will be rated by using the Chinese Early Childhood Environment Rating Scale (CECERS) and the Classroom Assessment Scoring System (CLASS).Children’s language, cognitive, motor, and social and emotional developments respectively will be assessed by using appropriate instruments. Parental background and involvement will also be assessed. These assessments will be conducted annually until these children have completed three years of preschool education. Latent growth modeling analyses will be applied to examine the effects of preschool program quality on children’s learning and development outcomes. In addition, growth mixture modeling (GMM) will be used to identify potentially different developmental subgroups. Finally, interviews involving different stakeholders (parents, teachers, and policy makers) will be conducted to examine their perspectives on the major dimensions of preschool program quality, and on the assessment of these major dimensions.
Please contact: Bi Ying Hu, Ph.D.
Director of the Center for Early Childhood Education and Child Development
Faculty of Education, University of Macau, E 33, Avenida da Universidade, Taipa. Macau, China