Theme: Foundations in Statistics
4 matching courses
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.
This foundational course is for eligible graduate students who have no prior training in statistics.
It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
- Session 1: Variables and Measurement
- Session 2: Describing a Variable
- Session 3: Populations and Samples
- Session 4: Statistical Models and Significance Tests
| Date | Availability | |
|---|---|---|
| Mon 12 Oct 2020 | 14:00 | Finished |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.
This module is essential for the statistical methods modules, which follow.
| Date | Availability | |
|---|---|---|
| Mon 9 Nov 2020 | 14:00 | Finished |
Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.
This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.