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Theme: Foundations in Statistics

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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

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Date Availability
Tue 12 Oct 2010 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.

1 other event...

Date Availability
Tue 9 Nov 2010 14:00 Finished
Module 4: Linear Regression for Judge students Tue 22 Feb 2011   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.

Module 3: Bivariate Association for Judge Students Tue 25 Jan 2011   14:00 Finished

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.

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