Institutional Review Board
If participants or researchers are ACU faculty, staff or students, and the research -- whether external or internal -- involves human subjects or animals, the project director or principal investigator (PI) must submit a Research Review Request to the Institutional Review Board (IRB). He or she must obtain approval before beginning the research. If the PI has received IRB approval from another institution with whom he or she is affiliated, the IRB application and approval should be attached to the email submission of the completed ACU Research Review Request.
The Abilene Christian University IRB Policy clearly delineates the institution's policy.
Informed consent guidelines help researchers include all necessary elements in the consent form.
The researcher submits the Research Review Request Form to the Director of Research and Sponsored Programs who processes it and communicates with the members of the Institutional Review Board regarding the request.
- Request Form (Word Doc)
Each reviewer submits the IRB Approval Form to the review board chair, who then informs the researcher of the board's decision.
- Approval Form (Word Doc)
New in Reasearch
Dr. Ryan Jessup, Assistant Professor of Marketing
Dr. Jessup is interested in decisions. What causes people to choose poorly? How do learning and contextual factors influence choice? In seeking to answer these questions, his research uses psychological models of motivation to distill the computational properties of decision making. Computational modeling enhances research by requiring precision in theory formulation and constraining predictions.
One of Dr. Jessup’s primary streams of research concerns the behavioral differences between decisions when options are completely described vs. decisions when options must be learned about via experience. Prior research found that individuals choose quite differently between the two paradigms but the reasons underlying the difference are poorly understood. One of Dr. Jessup’s studies demonstrated that the reception of feedback overwhelms descriptive information, driving the behavioral differences between paradigms. This work has led him and his colleagues (including Dr. John Homer and undergraduate researcher Allison Phillips) to build a new model that merges sophisticated decision making mechanisms with reinforcement learning in order to successfully predict behavior in both paradigms better than existing models. Dr. Jessup has previously received Cullen awards for this work and is currently seeking external funding to continue this fascinating line of research.