Analysing data

Just as there are different methods for collecting quantitative data and qualitative data, there are different ways of analysing the data collected.

Methods How to analyse data?
Quantitative
Statistical Analysis
The type of statistical analysis you choose will depend on your research objectives and the number of independent and dependent variables under study.  Typical types of analysis include:

  • Chi-Square tests
  • ANOVA tests
  • T-tests
  • Multiple regression analysis
Qualitative Analysis The type of analysis you choose will depend on your research objectives and your theoretical framework.  Qualitative Data Analysis (QDA) is the range of processes and procedures whereby we move from the qualitative data that have been collected into some form of explanation, understanding or interpretation of the people and situations being investigated.  Finding themes is part of the overwhelming majority of QDA carried out today and there are several ways to identify and code data thematically, including:

  • Domain analysis
  • Template analysis
  • Discourse analysis

Learn more about quantitative and qualitative methods and their strengths and limitations in the following pages.

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