What are the main tools that analysts use in social network analysis? We cover the big things that can tell you what's happening in a social network and how you can focus on what elements are most important to study. These topics include basic term definitions and core concepts.
This module includes videos on what a regression is, what it will look like in a paper, and the benefits and pitfalls of using and interpreting regressions for causal inference.
What are the biggest pitfalls to avoid when trying to figure out cause and effect? There are some common issues that can add confusion to any conclusions, particularly in social science research.
Civic engagement opportunities can also come with some safety concerns. Some are based in legality while others in self-care. When working on behalf of any institution, there are always legal policies and procedures to consider.
Reflection is key to experiential learning and this module covers the many pedagogical theories and practices related to facilitating that relationship.
When experiment subjects don't do as requested, it can cause problems with your experiment and your data collection. This module covers some of the basic ways to deal with noncompliance.