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Research Methods 1


  • Credit value: 15 credits at Level 5
  • Convenor: Professor Clare Press
  • Assessment: a 1.5-hour examination (60%) and two 3500-word lab reports (20% each)

Module description

This module allows you to:

  • apply statistical techniques by hand and use SPSS to analyse data
  • differentiate between statistical techniques and use these techniques for various research designs and research questions
  • understand the theoretical rationale behind different statistical techniques
  • generate data analysis, interpret relevant parts of the SPSS output, and critically think and comment about different findings that are produced by the analysis
  • demonstrate acquired research skills through the writing of lab reports.

Indicative module content

  • Research design and analysis
  • Experimental and correlational methods; factorial designs
  • Laboratory materials and techniques
  • Principles of experimental design and statistical analysis
  • Statistical methods of analysis
  • General linear model
  • Linear regression and analysis of variance
  • Conduct of experiments
  • Data collection, analysis, and report writing

Learning objectives

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

  • identify when and understand how to use the following statistical techniques, and subsequently interpret statistical findings from the following topics in a comprehensive manner: correlational analysis and simple linear regression; factorial analysis of variance: between and within subject designs; simple interaction effects; and post hoc tests
  • understand and discuss the fundamentals of experimental designs issues relating to selection of participants, and ethics in experimental design.