Module code: MAND037

Module Overview

This unit focuses on Meta-Analysis for Management Research.

This three-day course will deal with methods and techniques for conducting a meta-analysis. The purpose is to train the students to conduct a high-quality scientific meta-analysis within the broad field of management research. The seminar will focus on the meta-analysis research process, from problem formulation, literature search, coding of the effects, analysis, to reporting the findings.

The emphasis is on knowledge and skills needed to conduct a meta-analysis, not on the statistical details. All steps of the meta-analysis process (including the statistical analyses) will be demonstrated and practiced in assignments during the workshop. In addition, all topics will be illustrated by means of actual meta-analysis examples.

Module provider

Surrey Business School

Module Leader


Number of Credits: 0

ECTS Credits: 0

Framework: FHEQ Level 8

JACs code: N200

Module cap (Maximum number of students): N/A

Module Availability

Semester 1

Prerequisites / Co-requisites


Module content

Day 1
Session 1: Why meta-analysis? Role of replications and generalizations
Session 2: Literature search and coding
Session 3: Study quality: weighting the findings?
Session 4: Effect size measures and transformations

Day 2
Session 5: Publications bias: causes, consequences, tests, and corrections
Session 6: Homogeneity tests, dependency of effect sizes
Sessions 7 and 8: Meta-regression: fixed- and random-effects models

Day 3
Session 9: Correcting for study artefacts: Hunter & Schmidt approach
Session 10: Testing theoretical models: Meta-analysis using SEM
Session 11: Steps after a meta-analysis; Cumulative meta-analysis
Session 12: Reporting a meta-analysis
Discussion and wrap-up

Assessment pattern

Assessment type Unit of assessment Weighting
Examination FINAL EXAM PAPER 70

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate
• Their knowledge and understanding of meta-analysis
• Their ability to perform meta-analysis

Thus, in line with domain A’s LO, the summative assessment for this unit consists of:
• Daily exercises (30%) enabling the students to show and practice their acquired knowledge;
• A final exam paper (70%) enabling the student to show their ability to develop and interpret their own experiments.

Formative assessment
Students will be formatively assessed through exercises in class and in the lab session with direct feedback.

Students will be provided feedback on their exercises.
Feedback will be provided individually on their final exam paper.

Module aims

  • Introduce students to meta-analysis
  • Ensure that they understand how to run and analyse the findings

Learning outcomes

Attributes Developed
001 Understand which research questions can be examined with meta-analysis K
002 How to perform meta-analysis with statistical software K

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Overall student workload

Lecture Hours: 20

Methods of Teaching / Learning

The learning and teaching strategy is designed to:
• understand the aim of meta-analysis
• give students an in-depth experience with how to perform meta-analysis
• enabling them to learn to do basic statistical analysis,
• ensure that students can perform their own meta-analysis.

The learning and teaching methods include:
• Pre-lecture reading
• Lectures with exercises
• Lab sessions with data analysis
• Post-lecture exercises

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list


Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2018/9 academic year.