Please read our student and staff community guidance on COVID-19
Skip to main content Skip to navigation

Methods in Psychology II

University of Warwick

Department of Psychology 2019/20

Module Code:


Module Name:

Methods in Psychology

Module Credits (CATS):


Module Convener

Adrian von Muhlenen

Module Teachers

Adriano Lameira

Module Aims

The course covers both conceptual issues, such as knowing when to apply a particular technique, and practical issues such as knowing how to carry out the technique using statistical software. The module content will help you when you read journal articles to properly evaluate the claims they make, as well as when you carry out your own research. Specific aims are:

  • To prepare students to carry out psychology projects in their second and third year.
  • To meet core training and accreditation requirements in psychology.
  • To teach students how to analyse and present data gathered in a medium-scale psychology project
  • To familiarise students with issues affecting the soundness of evidence in psychological research

Learning Outcomes

By the end of the module, students should be able to:

  • Explore a data set and systematically test hypotheses about the data from a designed experiment using ANOVA;
  • Evaluate the assumptions of statistical tests;
  • Present the results of data analysis clearly and concisely;
  • Understand methodological issues that affect the conclusions that can be drawn from psychological research;
  • Understand and discuss basic ethical considerations relating to psychological research

Assessed by:

Coursework and data analysis project

Coursework and data analysis project



Module Work Load

Module Length

10 Weeks


One lecture per week


One practical statistics sessions in certain weeks. You must attend the sessions to which you are assigned.

A methods laboratory will be available for individual advice at specific times in certain weeks. Please note that the course convenors are not normally available for consultation outside these times unless either (a) an appointment is made in advance, or (b) contact is made by electronic mail.



Module Assessment


Assessed work:

Two coursework task based on labs. Part 1


Assessed work:

Two coursework task based on labs. Part 2


Assessed work:

One data analysis project


Assessed work:

Worksheet (x3)




Module Reading List

A full reading list will be given in the first lecture. Each week you will be expected to read two or three articles or book chapters. These form the basic reading for the course, and additional lists of further reading are given each week so that you can follow up issues in more depth if you wish.

The set text for the first five weeks is Howell (2010), which you will have from the first year.

The core texts for the second five weeks and the examination are Dunbar (1997) and Dunbar (2005). You probably do not need to buy either. The relevant chapters from Dunbar (1997) will be provided. Dunbar (2005) is available for download from the Library as an ebook (pdfs). Additional reading will be required, and references are given on the module web page. You are advised to begin studying Dunbar (2005) early in term 1 (see Moodle for guidance).

You will also need access to a book that explains how to get SPSS to do things. The books by Pallant (2016) and Brace, Snelgar & Kemp (2012) listed below are very good. The book by Tabachnik & Fidell (2013) is an extremely useful reference source on data screening, the presentation of results in reports, and advanced multivariate techniques.

Brace, N., Snelgar, R., & Kemp, R. (2012). SPSS for Psychologists. (5th Edition). New York: Palgrave MacMillan.

Dunbar, G. L. (1997). Data analysis for psychology. London: Edward Arnold.

Dunbar, G. L. (2005). Evaluating research methods in psychology: A case study approach. Oxford: Blackwell/BPS.

Howell, D. C. (2010). Fundamental statistics for the behavioral sciences (7th ed.). Belmont, CA: Thomson Wadsworth.

Pallant, J. (2016). SPSS survival manual (6th ed.). Buckingham: Open University Press.

Tabachnick, B. G., and Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Needham Heights, MA: Allyn & Bacon.