Skip to main content

Research Methods 2


Module description

The module aims to:

  • provide you with a working knowledge of a variety of statistical methods and how to implement them by hand and in SPSS
  • allow you to differentiate between statistical techniques and use these techniques for various research designs and research questions
  • allow you to understand the theoretical rationale behind different statistical techniques
  • introduce qualitative research methods and give you practical experience with them
  • allow you to understand how to design, execution, analyse and report a novel experimental project.

Indicative module content

  • Advanced experimental methodology and statistics, with special emphasis upon data coding techniques, multivariate analysis, and post hoc and a priori tests related to the analysis of variance
  • Qualitative methods
  • Multiple regression
  • Factor analysis
  • Computer-based statistical analysis
  • The research process in context: design, analysis and interpretation
  • Conduct of experiments
  • Data collection, analysis, and report writing

Learning objectives

By the end of this module, you should be able to:

  • identify an appropriate method of analysis for a range of experiments
  • competently use SPSS
  • perform analysis of variance involving both within and between-subjects designs, and interpret the results
  • perform appropriate planned and post hoc comparisons by computer
  • perform simple and multiple regression analyses, and interpret the results
  • show familiarity with factor analysis and be able to interpret a simple factor analysis
  • understand qualitative methodology
  • carry out a piece of research in a small group setting
  • prepare a short presentation on a piece of research.