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Instructor-led course

Provided by: Social Sciences Research Methods Programme

This course has 1 scheduled run. To book a place, please choose your preferred date:

Mon 20 Feb 2023

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Factor Analysis


This module introduces the statistical techniques of Exploratory and Confirmatory Factor Analyses. Exploratory Factor Analysis (EFA) is used to uncover the latent structure (dimensions) of a set of variables. It reduces the attribute space from a larger number of variables to a smaller number of factors. Confirmatory Factor Analysis (CFA) examines whether collected data correspond to a model of what the data are meant to measure. STATA will be introduced as a powerful tool to conduct confirmatory factor analysis. A brief introduction will be given to confirmatory factor analysis and structural equation modelling.

  • Session 1: Exploratory Factor Analysis Introduction
  • Session 2: Factor Analysis Applications
  • Session 3: CFA and Path Analysis with STATA
  • Session 4: Introduction to SEM and programming
Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
  • Students are expected to be familiar with basic statistical concepts such as variance, correlation and regression
  • The course also assumes familiarity with using the essential features of Stata



There may be a practical exercise at the end of the module.

  • Bartholomew, D. J., Steele, F., & Moustaki, I. (2008). Analysis of Multivariate Social Science Data (2nd ed ed.). New York, NY: Chapman & Hall/CRC Press.
  • Long, J. S. (1983). Confirmatory Factor Analysis: A Preface to LISREL. SAGE Publications.
  • Kim, J. O., & Mueller, C. W. (1978). Factor Analysis: Statistical Methods and Practical Issues. SAGE Publications.
  • LP., S., Hamilton, L. C., & Corporation, S. (2011). Stata Structural Equation Modeling Reference Manual-Release 12. StataCorp LP.

In addition, there are chapters on Exploratory and Confirmatory Factor Analysis in the Electronic Statistics Textbook (EST).

How to Book

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For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

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Events available