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