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Wed 25 Jan, Wed 1 Feb, ... Wed 15 Feb 2012
14:00 - 16:00

Venue: Titan Teaching Room 2

Provided by: Joint Schools' Social Sciences


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Module 9: Meta Analysis
Prerequisites

Wed 25 Jan, Wed 1 Feb, ... Wed 15 Feb 2012

Description

This module is part of the Social Science Research Methods Course 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.

Target audience

Mphil Students from participating departments taking the Social Science Research Methods Course as part of their research degree

Prerequisites

Students need a clear understanding of fundamental statistical concepts, bivariate association and linear regression.

Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Wed 25 Jan 2012   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 M. Ttofi
2 Wed 1 Feb 2012   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 M. Ttofi
3 Wed 8 Feb 2012   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 M. Ttofi
4 Wed 15 Feb 2012   14:00 - 16:00 14:00 - 16:00 Titan Teaching Room 2 M. Ttofi
Topics covered
  • Session 1: Computational formulas for effect sizes and their variance: fixed/random models
  • Session 2: Hetergeneity in effect sizes: Tau-squared, Tau, and I-squared
  • Session 3: Sub-group analysis and meta-regression
  • Session 4: Vote-counting; publication bias; criticism of meta-analysis
Objectives

The objective is to enable students to draw statistical conclusions in a standardised manner from literature reviews

Aims
  • To learn to compute treatment effects
  • To learn to compute effect sizes based on correlation studies
  • To become familiar with heterogeneity tests
  • To learn how to compute effect sizes based on relational studies
Format

Presentations, demonstrations and practicals

Assessement

Three exercises

Textbook(s)
  • Borenstein, M. Hedges, L.V. Higins, J.P.T. & Rothstein, H.R. (2009) Introduction to Meta-Analysis. Chichester: Wiley
  • Lipsey,M.W.& Wilson,D.B. (2001). Practical Meta-Analysis. 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
Duration

Four sessions to two hours

Frequency

Four times in Lent term

Theme
Advanced Statistics

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