This week’s topics
Quantitative Data Management and Preliminary Statistical Testing
- Extract, Transform, and Load (ETL) processes in SPSS
- Screening for missing data, outliers, and normality violations
- Criteria for selecting parametric versus non-parametric tests
- Power analysis and sample size determination
- The Beast of Bias
- Entering data into SPSS
- 12 Calculating sample size and power
- Public Health 250B - Lecture 21: Statistical inference, sample size, power
What you will be able to do
- 3.1 Extract, Transform and Load quantitative data into specialised software packages such as SPSS.
- 3.4 Evaluate various statistical test for a given scenario and justify the chosen test.
- 3.5 Test the hypothesis with the most appropriate and draw meaningful conclusions.
Activity
Start with this week’s 4 videos, then: Seminar, guided reading and a short written task: extract, Transform and Load quantitative data into specialised software packages such as SPSS.
Study materials
Videos
- The Beast of Bias · YouTube · Discover Statistics · 50 min · for registered students
- Entering data into SPSS · YouTube · Discover Statistics · 18 min · for registered students
- 12 Calculating sample size and power · YouTube · NPTEL-NOC IITM · 28 min · for registered students
Further resources
- Research Methods Knowledge Base (Trochim, hosted by Conjointly) · Reading · Other, textbook · 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
- Research Methods in Psychology, ch. 13: Inferential Statistics · PDF · Saylor Academy, textbook chapter; pp. 342–377 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
