I cannot seem to find consensus on the following so hopefully someone can shed some light on it. I have 5-point Likert scale Strongly Agree, Agree, Neither Agree nor disagree, disagree, strongly disagree.
My question is measuring privacy attitude using a construct that contains 10 privacy indicators (researched separately). I am trying to create a privacy score so I can later do a correlation analysis - those who have a higher privacy score are more likely going to have a higher privacy activism score (another construct).
Without going into to much detail I can't seem to figure out the correct way to do the score. The most common approach seems to be a sum all the items in the construct (measuring privacy). However I am concerned about the undecided (neither agree nor disagree) group.
How should I rank that subset of responses. Logic would have it to be coded as 0 given they have not really answered the question? other literature suggests it should be 3.
My concern is, if (hypothetically) I have 30% of undecided and 20% strongly agree or agree, then the privacy score isn't really reflecting a persons desire for privacy because the undecided is scored at 3, pushing up the score.
SO the question is what to score the undecided group so I can create a summed score that accurately represents the response
1 = Strongly Agree
2 - Agree
3 = undecided
4 - disagree
5 - Strongly disagree
I would be grateful for any literature or suggestions I could reads regarding this.