Team Leader:
Young Kim (ykkim@apu.edu)
Design:
Quantitative methods (correlational design using a national or statewide dataset)
Our research team tries to contribute to the higher education literature by examining the unique patterns of college experience and outcomes among historically underrepresented, underserved, and/or disadvantaged student populations in higher education. In a series of studies, the research team has been investigating educational disparities between underrepresented/disadvantaged populations (such as Latinos in highly selective institutions, international students, women in STEM) and their counterpart majority groups. Abiding by the research team’s on-going research agenda, we will expand the investigation of underrepresented college student populations, examining the unique patterns of college experience and outcomes among the aforementioned and other types of underrepresented groups (e.g., low-income students or language minorities). While specific research topic and research questions will be determined by students’ interests as well as the nature of dataset, the project will seek to answer the following research questions in general: What are the differences between an underrepresented student group (e.g., international students) and their peers of majority group (e.g., domestic students) in the development of select college student outcomes over time? What are the differences between them in the patterns of engagement in college experiences? What college experiences predict select student outcomes among the underrepresented student group? How are the predictors different from those for their counterparts? This research project will use either the data from the Cooperative Institutional Research Program (CIRP), a nationwide longitudinal college student dataset, or the University of California Undergraduate Experience Survey (UCUES) data, a statewide cross-sectional college student dataset. The research project will utilize various levels of statistical methods, which may include ANOVA, Crosstab, blocked multiple regression analysis, and/or structural equation modeling.
Products:
Presentation/s at the American Educational Research Association (AERA) 2022 conference and/or the Association for Institutional Research (AIR) 2022 conference
Article submitted to Journal of College Student Development or Research in Higher Education
Students Needed:
3-4 new students
Preferred Skills:
Writing literature review; designing and conducting data analysis; interpreting descriptive and predictive statistical results; writing the discussion section of a journal article
Meeting and Travel Expectations:
No travel expectations for research team meetings. The team will meet regularly via conference call.
Students will attend the AERA 2022 and/or AIR 2022 conference, if a proposal is accepted.