I've decided. I'm applying. What do I do next?
What you learn by conducting research is the most important aspect of your graduate school experience. You'll gain research design skills, analytic skills, leadership skills, writing skills, presentation skills, and more - all practice for your career after graduation. Once you've mastered skills gained in the lab, you'll be able to create, implement, and show off your own, independent I/O projects.
This is why your lab is so important, and we've got a bunch of great ones at ODU.
At ODU, classwork is rigorous and tough, to prepare you for your career, whether on the academic or applied track. You'll get a balance between traditional "industrial" psychology topics, like selection and training, and traditional "organizational" psychology topics, like motivation, leadership, and teamwork.
All I/O PhD students starting pre-Master's will complete at least eight courses (24 credit hours) in I/O Psychology topics, although more are available. Students will also complete at least three courses (11 credit hours) in statistics and research methods. To broaden their skillsets, most students choose to complete six of these stats/methods courses, which includes advanced techniques including quasi-experimental design, hierarchical linear modeling and structural equation modeling.
Although it might seem like it sometimes, your professors don't know everything, and that's true no matter where you go to grad school. To narrow the gap at ODU, we host a variety of events to get outside perspectives on I/O psychology and related areas.
First, our I/O student-led organization, IOPSA, hosts regular "brown bags," where an invited speaker comes to present their research, discuss what's new in the world of applied I/O, or in the case of alumni, talk about life post-ODU. Second, the I/O group hosts a university-wide viewing group for the webcast series produced by the Consortium for the Advancement of Research Methods and Analysis, where you'll stay on the cutting edge of modern statistics and research design.