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Choice of analytical technique(s). Own experience of using quantitative methods & analytical techniques Background : Organisational Psychology Strongly influenced by positivist philosophical approaches; also pragmatism

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choice of analytical technique s
Choice of analytical technique(s)
  • Own experience of using quantitative methods & analytical techniques
    • Background: Organisational Psychology
    • Strongly influenced by positivist philosophical approaches; also pragmatism
    • Analytical techniques I use frequently: descriptives, correlations, different types of regressions, factor analyses (exploratory), reliability analyses
    • Analytical techniques I have used previously: (psychometric) meta-analysis, systematic review, statistical power analyses, pair comparison techniques
    • Analytical techniques I would like to use (more): structural equation modelling incl. confirmatory factor analysis and multi-level modelling, longitudinal methods, cluster analysis…
choice of analytical technique s ctd
Choice of analytical technique(s) (ctd.)
  • Considerations when choosing analytical techniques:
    • ‘What works?’ i.e. what techniques can help me in answering my research question(s)? a) data collection (e.g. questionnaire); b) subsequent data analysis (e.g. regression)
    • On the one hand: Don’t use fancy methods if they won’t help you in your research!
    • But on the other hand: Be prepared to try new things and/or to adapt a technique used in a different subject area (e.g. medicine).
    • Do you know how to do it? Important to get things right. Go on training courses if necessary & speak to experts.
    • Recognise the limitations.
choice of analytical technique s ctd1
Choice of analytical technique(s) (ctd.)
  • Where can you get help & advice from?
    • Your supervisor(s).
    • The academic literature – textbooks (basic & advanced) & journal articles discussing specific techniques.
    • Your peers – ‘anonymous analysts’??
    • Quantitative analysis experts in your department or university.
    • Training courses provided by your department/university, other universities, the ESRC etc.
    • Other scholars – don’t be shy.
    • The internet has some useful information, too, e.g. http://www.statisticalassociates.com/ (be careful to stick to trustworthy sources).
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