Si Gou
Statistical tests are powerful tools for not just researchers, but also anyone who is interested in exploring and discovering the truth. This section aims to help readers understand the application of statistic methods in real-life scenarios. In the 21st century, the media sometimes manipulates and frames how people perceive the world. The increasing amount of reports on violence and crimes make people think that the world is getting worse, but data and statistics usually shows the opposite. This blog includes introductions to commonly used statistical tools and their application, and therefore is great for people who want to know the very basic but are not willing to commit too much time on learning the math and method behind these statistical tests.
This section is a great supplement for students who struggle in their statistics classes or in their Ph.D. research quantitative research method classes. It puts an emphasis on the application of different statistical tests, and we believe students can comprehend the materials more effectively when exposed to real-life situations or hypothetical scenarios, rather than the abstract matters or theory behind the method. For example, in the section for regression with a moderator, we illustrate the interaction through a hypothetical situation as well as with the real gender report data from the World Bank. In addition, sometimes, we design plausible hypothetical situations to let students identify whether there might be an interaction. Since there are so many different statistical tests, the ability to identify which model to use is crucial for students and researchers. By the time students finish reading different sections in this blog, they should be able to identify quickly and precisely which model to use in specific situations. For example, paired sample t test can be used when comparing the change of same individuals in two different times (pre and post).