Data Handling and Analysis

Quantitative data

Data in numerical form which can be put into categories, or in rank order, or interval data, and is used to make graphs and tables of raw data – e.g. correlations, experiments, closed questions

  • easily summarised into graphs or statistics = identify patterns and trends
  • more objective – not opened to interpretation
  • easier to analyse
  • results are limited as they provide numerical descriptions
  • research is usually carried out in unnatural, artificial environment

Qualitative data

Data that’s not in numerical i.e. written – typically descriptive e.g. case studies, content analysis, open questions

  • + richer and in more detail
  • + more valid data
  • – fewer people studied as more time consuming
  • – less easy to generalise
  • – difficult to make systematic comparisons as responses are so varied

Primary data

Original data that has been collected specifically for the purpose of the investigation by the researcher – first hand from participants themselves

Secondary data

Data that has been collected by someone else and already exists before the psychologists begins their research – found in journals, internet or books

Meta-analysis

‘Research about research’ – refers to the process of combining results form a number of different studies on a particular topic to provide an overall view. May involve a qualitative review of conclusions or a quantitative analysis of results