About the Program and Research Positions
The PhD program in Psychological Sciences at UC Merced offers a specialization in Quantitative Methods, Measurement, and Statistics. This year, all faculty members (Dr. Sarah Depaoli, Dr. Fan Jia, Dr. Haiyan Liu, Dr. Ren Liu, Dr. Meng "Chris" Qiu, and Dr. Yueqi Yan) are actively recruiting PhD students who are passionate about pursuing careers in the methodological and statistical aspects of psychological research.
We offer rigorous training that includes hands-on research, leading to three main milestones culminating in flagship journal publications (e.g., Psychological Methods, Structural Equation Modeling, Multivariate Behavioral Research, Psychometrika, Behavior Research Methods, British Journal of Mathematical and Statistical Psychology). These milestones are supported by an extensive curriculum featuring courses such as Advanced Psychological Statistics, Research Design and Methodology, Multivariate Analysis, Structural Equation Modeling, Psychometrics, Item Response Theory, Bayesian Statistics, Missing Data Analysis, Multilevel Modeling, and Essential Mathematics, among others.
Research Areas
Students are encouraged to contact potential advisors for more information about their research expertise:
(1)Dr. Sarah Depaoli: Bayesian statistics, structural equation modeling, mixture modeling, longitudinal data analysis
(2)Dr. Fan Jia: missing data analysis, longitudinal data analysis, structural equation modeling, mediation analysis, multilevel modeling
(3)Dr. Haiyan Liu: social network analysis, Bayesian statistics, structural equation modeling, longitudinal data analysis, categorical data analysis
(4)Dr. Ren Liu: psychometrics, measurement theory, diagnostic classification modeling, causal inference, machine learning and AI for measurement
(5)Dr. Meng “Chris” Qiu: Bayesian statistics, Bayesian nonparametrics, mixture modeling, computational statistics, longitudinal data analysis
(6)Dr. Yueqi Yan: (quasi-)experimental design, causal inference, mixture modeling, longitudinal data analysis, structural equation modeling
Mentorship Model
Our program follows a mentor-mentee model, offering students significant hands-on research experience with their advisors for their first milestone project. The second milestone allows students to explore and develop their own research interests, leading to the final milestone, the dissertation. By the time of graduation, students will have completed at least two to three substantial methodological studies that advance the field. Despite UC Merced being a relatively young university, our program has a strong track record of placing graduates in tenure-track faculty positions, university lecturer roles, and data science positions.
Requirements
While we do not have mandatory prerequisites, coursework in statistics, research methods, programming, and/or mathematics at the undergraduate or graduate level is highly recommended. A Master’s degree is not required, as students may obtain one while progressing towards their PhD.
Application
To apply for our PhD positions, please complete the UC Merced graduate application, available https://graduatedivision.ucmerced.edu/prospective-students/how-apply. The application deadline is December 1, 2024. We encourage prospective students to contact their potential advisors to discuss research interests prior to applying.
Funding
Admitted students are guaranteed full funding for five years, which covers tuition, a monthly stipend, and insurance. Additional fellowship and award opportunities are available to support research-related travel and other academic activities.
Contact
For further inquiries, please reach out to the Quantitative Area Head, Dr. Haiyan Liu, at hliu62@ucmerced.edu.
内容来源于粉丝投稿
发布信息
本公号可免费帮海内外大中小院校/课题组/教师发布心理学招生招聘实习信息、会议论坛通知、研究成果展示、经验技能分享等。在公众号底部菜单栏点击“发布信息”了解详情！
心理学人视频号
心理学人小商店
