This course provides an introduction to statistical methods for analyzing human development data, covering fundamental concepts of statistics, hypothesis testing using one-sample z and t tests, paired- and independent-samples t tests, and simple linear regression.
This course introduces students to the most important types of research in human development and the criteria by which consumers of research can judge if the stated findings are credible.
Provided instruction on applying AI (e.g., Rayyan, DistillerSR) in systematic review and meta-analysis, and designed large language model (LLM) prompts to support research question refinement, search query development, and data extraction.
Led weekly 1.5-hour sessions for half of the course, providing instruction in RStudio and SPSS for data analysis and interpretation, including z-tests, t-tests, correlation, and regression analyses.
Led weekly 1.5-hour sessions for half of the course, providing instruction in RStudio and SPSS for data analysis and interpretation, including bivariate and multiple regression analysis.
Assisted the instructor in an undergraduate course on educational psychology. Responsibilities included leading discussion sections, grading assignments and exams, and holding regular office hours.
Supported graduate student in statistical data analysis using SPSS and RStudio, including assessment grading and regularly scheduled office hours.
Provided graduate students with individualized support in advanced statistical concepts, graded assignments, and offered office-hour assistance focused on both theoretical understanding and practical implementation.