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Instructor-led course

Provided by: Joint Schools' Social Sciences



Mon 24 Jan 2011


Tue 25 Jan 2011


Tue 24 Jan 2012


Wed 25 Jan 2012


Sun 24 Jan 2021


Mon 25 Jan 2021



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Events available

Module 3: Bivariate Association for Judge Students
BeginnersPrerequisites


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.
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
Theme
Foundations in Statistics

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