| Affiliations: | Aggie Research Mentoring Program |
| Project Leader: | Morgan Grant mjgrant@tamu.edu Health & Kinesiology |
| Faculty Mentor: | Tamika Gilreath, Ph.D. |
|
Meeting Times:
|
Wednesday’s (TBD based on team’s availability) |
|
Team Size:
|
5
|
| Open Spots: | 0 |
|
Special Opportunities:
|
Students will be able to learn and hone the skills necessary to become successful graduate students in health and social science related fields. Prospective students will work with regional and national data as well as take part in study designs for health education projects. Opportunities will include earning co-authorship for publications, developing abstracts for and possibly attending professional research conferences, letters of recommendation, or becoming a member of our research group |
|
Team Needs:
|
Skills and familiarity preferred with: critical reading and thinking, following directions and completing tasks independently, academic/professional writing, quantitative methods and analysis, detailed note taking, conducting literature searchers, reading and synthesizing information from the peer-reviewed literature, organizing and storing peer-reviewed literature in reference software (e.g., EndNote), data entry and management and related software (e.g., Excel, SPSS, etc.), statistical software packages (e.g., SPSS, SAS, STATA, MiniTab, etc.), and most important will be the desire to learn and apply what is learned from this experience to the student’s future endeavors |
|
Description:
|
The project consists of examining behavioral risk factors that increase the likelihood of negative mental health outcomes in LGBTQ adolescent populations. The grad-student led project is a study that will use national data from the Youth Risk Behavior Surveillance Survey (YRBSS) to analyze risk factors associated with adolescent mental health. Other research projects under Dr. Tamika Gilreath are examining risk in military-connected youth and Black American youth using novel statistical methods on secondary data from other regional and national data sets (e.g., YBRSS; CHKS) |