This week’s topics
Quantitative Data Analysis
- Descriptive statistics and normality screening
- Parametric and non-parametric hypothesis testing
- Multiple regression and factor analysis
- Utilizing statistical software packages
- Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
- Factor Analysis/PCA
- Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis
What you will be able to do
- 4.1 Analyse data collected for research using an appropriate methodology.
Activity
Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: analyse data collected for research using an appropriate methodology.
Study materials
Videos
- Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples) · YouTube · Grad Coach · 28 min · for registered students
- Factor Analysis/PCA · YouTube · Discover Statistics · 26 min · for registered students
- Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis · YouTube · Grad Coach · 13 min · for registered students
Further resources
- Research Methods Knowledge Base (Trochim, hosted by Conjointly) · Reading · Other, textbook · for registered students
- Principles of Data Science, ch. 4: Inferential Statistics and Regression Analysis · PDF · OpenStax, textbook chapter; pp. 155–222 · for registered students
- Learning Statistics with R (Navarro, v0.7.1), ch. 11: Hypothesis testing · PDF · Other, textbook chapter; pp. 439–469 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.