Data preparation and scale construction
5 important questions on Data preparation and scale construction
What is the difference between a data matrix and code book?
Within the code book you can read how the data is stored in which place in the file and how to read the dataset.
What does data cleaning means and what are the three ways of doing?
- double check
- Logical consistency check ( e.g. When the answer options are 0,5,10 and someone fills in a 7, this is incorrect)
- Cross tabulation check (if someone is the age of 16 but fills in he has completed university)
What is data reduction and what are its two forms?
- Index; individual scores are simply added up and average is taken.
- Scale; some items are more closely related to the theoretical concept than others. So weight per score differs.
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What is the difference between scales and measurement?
Measuring is about giving a scale value to every unit in our observation.
What are the three variants on which you can check whether you should include all indicators under the same concept?
- Likert scale; two possible options 0 and 1. 1 holds for 'agree' and you calculate the average score for those people on the over all scale.
- Guttman scale; the starting point is that you are unlikely to answer yes to a follow-up question.
The question on the page originate from the summary of the following study material:
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