4.1.4 Main Takeaways Data Analysis

Course subject(s) Module 4. Data Collection & Analysis

Shows how data is divided in qualitative and quantitative and each subdivided in a nominal and ordinal and interval and ratio scale respectively.Scale

Scale: The construction of an instrument that can associate qualitative constructs with quantitative metric units

4 types of Scales exist:

Nominal – data values with no intrinsic order. It typically distinguishes groups

Ordinal – qualitative data values with some intrinsic order

Interval – numeric values on an interval scale, the order is known, exact differences in values

Ratio – as interval but with absolute zero

Data Analysis

  • The purpose of data analysis is to find the answers to your research questions posed.
  • It is important that you pick the right analysis tool that is Reliable and Valid for the research method you have designed and carried out.
  • Every analysis tool has its pros and cons. Always carry out a trade-off on which tool is suitable for your type of data.
  • Check in literature what type of data analysis can be carried out on the data you will generate
  • Check if your data meets the requirements the data analysis method has,
  • Run a trial with dummy data to test if the analysis tool produces correct data
  • Keep track of all the data and analyses in your logbook
  • If necessary create a codebook to order your data
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