Descriptive Statistics with SPSS (Series 2) BeginnersPrerequisites
This module is part of the Social Science Research Methods Centre training 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.
Students are taught how to enter data into SPSS, how to use the SPSS environment and how to handle output produced by SPSS. Module will review basic statistical concepts and introduce basic analyses with SPSS.
- Mphil and PhD students from participating departments taking the Social Science Research Methods Course as part of their research degree
- You must be a complete beginners in statistics and are eligible to attend this course
- You must have a PWF username and password
- You must have access to CamTools
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Wed 10 Oct 2012 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | William Schmidt |
| 2 | Wed 17 Oct 2012 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | William Schmidt |
- Session 1: Introduction to SPSS: Data entry and visual displays
- Session 2: Further analyses with SPSS: Descriptive statistics, computations, and syntax
The objective of the course is to introduce students to one of the most frequently used statistics packages for social sciences, SPSS and review basic statistical concepts and introduce basic analyses with SPSS.
- To learn how to enter data into SPSS
- To learn how to use the SPSS environment and how to handle output produced by SPSS
Presentations, demonstrations and practicals.
SPSS on MCS
- One written submission
- One online assessment
Throughout all introductory statistics modules the main textbook is:
- Field, Andy (2009), Discovering Statistics using SPSS. London:Sage
- To gain 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.
Two sessions of two hours each.
Once a week for two weeks.
Booking / availability