Part 2 of Dr. Amy Grant’s Research Designs session will delve into further detail on how to minimize biases associated with various study designs discussed in Part 1. Methods for measuring (e.g., inter-rater reliability, construct validity) and reducing biases will be introduced to demonstrate how to balance feasible versus optimal research designs. You are welcome and encouraged to join Part 2 even if you missed Part 1.

Learning Objectives

• Understand different ways to measure biases within different study designs
• Understand how to minimize and reduce biases within different study designs
• Select feasible versus optimal study design methods for minimizing bias

Recommended for: Members of the NS Research Community who are new to writing research proposals or funding applications, or who want to brush up on related skills. These sessions would be of most benefit to Early Career Investigators(PhDs, physicians, residents, fellows, other health care professionals, etc.) or research staff who are interested in learning more, assisting with, or are developing their own research studies.

In Person: RMU Multimedia Room, Room 114, Centre for Clinical Research, 5790 University Avenue, Halifax

Online: You will receive an email from the organizer prior to the event to join the session remotely

Presenter

Dr. Amy Grant

Senior Health Policy Researcher
Maritime SPOR Support Unit (MSSU)
Nova Scotia Health Authority