Module 3: Bivariate Association (Series 1) BeginnersPrerequisites
Mon 24 Jan, Mon 31 Jan, ... Mon 14 Feb 2011
Description
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.
Target audience
Mphil Students from participating departments taking the Social Science Research Methods Course as part of their research degree
Prerequisites
- Successful completion of modules 1 and 2, and/or previous training in introductory level statistics and SPSS software use.
- Assigned readings should be completed prior to the session for which the are listed.
Sessions
Number of sessions: 4
| # | Date | Time | Venue | Trainer |
|---|---|---|---|---|
| 1 | Mon 24 Jan 2011 14:00 - 16:00 | 14:00 - 16:00 | Phoenix Teaching Room | T. Bergin |
| 2 | Mon 31 Jan 2011 14:00 - 16:00 | 14:00 - 16:00 | Phoenix Teaching Room | T. Bergin |
| 3 | Mon 7 Feb 2011 14:00 - 16:00 | 14:00 - 16:00 | Phoenix Teaching Room | T. Bergin |
| 4 | Mon 14 Feb 2011 14:00 - 16:00 | 14:00 - 16:00 | Phoenix Teaching Room | T. Bergin |
Topics covered
- Session 1: Exploring relationships with continues data: Correlations
- Session 2: Exploring Associations with Categorical Data: Chi-Square
- Session 3: Exploring Differences between 2 groups/conditions: T-tests
- Session 4: Exploring differences between 3+ groups/conditions: ANOVA
Objectives
- The objective is to learn of the assumptions underlying each test
- To receive practical instruction on how to generate and interpret bivariate results using SPSS
Aims
To study four most commonly used statistical tests in social sciences: Correlations;Chi-=square tests; T-tests and One-way ANOVAS
Format
Presentations, demonstrations and practicals
Taught using
SPSS v. 16 on PWF Windows
Assessement
Three exercises
Textbook(s)
Throughout all introductory statistics modules the main textbook is:
- Field, Andy (2009), Discovering Statistics using SPSS. London:Sage
Notes
- 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.
Duration
Four sessions of two hours
Frequency
Four times in Lent term
Related courses
- Module 1: Foundations in Statistics (Series 2)
- Module 2: SPSS and Descriptive Statistics for Judge Students
Theme
Foundations in Statistics
Booking / availability