Beyond shock value: Designing applied research studies about dog training methods
When carrying out applied research studies, scientists must have a clear understanding of their research question, appropriate dependent measures to answer that question, a design that is free from bias (or are biased against their hypothesis), and experimental conditions that are equivalent in as many ways as possible except for the critical variable of interest. Samples should be representative of the population, and their methodology consistently applied. Following data collection, scientists need to ensure interpretations are consistent with the analytical results, and be transparent with their data.
In this interactive session, we will discuss these essential features and then facilitate attendees working together in small groups as they design a study investigating their own question about training methods. Following this session, attendees will work have a better understanding about the challenges of conducting applied research and be more informed consumers of science, including being able to discuss a given study’s strengths and limitations more knowledgeably.