Kathleen Collins - Sampling Design in Mixed Methods Research
November 20, 2018 at 1pm MST
The term sampling design refers to two distinct decisions yet interrelated decisions: decide on the strategy to select the sample (i.e., scheme) and decide on the sample size. Sampling design decisions elevate in complexity when conducting a mixed research study. To address this complexity, the goal of this webinar is to introduce an inclusive sampling model comprising three components: discussion of selective sampling typologies, presentation of the steps in the mixed sampling process, and recommendations to address sampling issues related to four criteria impacting sampling designs: representation, legitimation, integration, and politics.
Joseph Maxwell - Demonstrating Causation in Mixed Methods Research
December 6, 2018 at 10am MST
This webinar deals with how mixed methods research can provide credible evidence for causal conclusions. Unfortunately, the topic of causation is a problematic one for researchers. The philosophical literature on causation is vast and complex, and most of it isn't of much use to researchers in the social sciences. In addition, many quantitative researchers are convinced that only quantitative (particularly experimental) methods can adequately address causation, while many qualitative researchers reject the concept of causation entirely, seeing it as a positivist concept that is incompatible with an interpretive or constructivist approach. My purpose in this webinar session is to challenge both of these views. I highlight those issues that are critical for, and of real use to, both qualitative and quantitative researchers, and show how these issues can inform and improve our ability to make and justify causal claims in our research.