Module 8: Factor Analysis and SEM Prerequisites
Introduction to statistical techniques of Exploratory and Confirmation Factor Analyss. EFA is used to uncover the latent structure of a set of variables. CFA examines whether collected date correspond to a model of what the data are meant to measure. AMOS will be introduced as a powerful tool to conduct confirmatory factor analysis.
Mphil Students from participating departments taking the Social Science Research Methods Course as part of their research degree
Students expected to be familiar with basic statistical concepts such as variance, correlation and regression. Course also assumes familiarity with using the essential features of SPSS.
Number of sessions: 4
| # | Date | Time | Venue | Trainer |
|---|---|---|---|---|
| 1 | Mon 25 Jan 2021 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 2 | M.P. Eisner |
| 2 | Mon 1 Feb 2021 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 2 | M.P. Eisner |
| 3 | Mon 8 Feb 2021 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 2 | M.P. Eisner |
| 4 | Mon 15 Feb 2021 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 2 | M.P. Eisner |
- Session 1: Exploratory Factor Analysis Introduction
- Session 2: Factor Analysis Applications
- Session 3: Introduction to SEM and AMOS programming.
- Session 4: CFA Path Analysis with AMOS
- The objective is to introduce students to statistical techniques of Exploratory and Confirmatory Factor Analyses.
- To learn and understand confirmatory factor analysis and regression analysis combined in structural equation modelling.
Presentations, demonstrations and practicals
SPSS v. 16 on PWF Windows
Three exercises
Field,A. Discovering Statistics Using SPSS. London:Sage. Bryne, B (2001) Structural Equation Modelling with AMOS: Basic Concepts, Applications and Programming. Mahwah, NJ: Lawrence Erlbraum.
Students also expected to have read: http://www.statsoft.com/textbook/stathome.html chapters on Exploratory and Confirmatory Factor Analysis.
- To gain the maximum benefits from the course it is important that students do not see this course in isolation from the other MPhil courses or research training they are taking. Responsibility lies with each student to consider the potential for their own research using methods common in fields of the social sciences that may seem remote. Ideally this task will be facilitated by integration of the SSRMC with discipline-specific courses in their departments and through reading and discussion.
Four sessions to two hours
Four times in Lent term
Booking / availability