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kjetil b halvorsen
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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 iI 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 cantcan'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 iI am concerned about the undecided (neither agree nor disagree) group.

How should iI 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) iI 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 iI can create a summed score that accurately represents the response

thus, 1 = Strongly Agree 
2 - Agree 
3 = undecided 
4 - disagree 
5 - Strongly disagree

I would be grateful for any literature or suggestions iI could reads regarding this.

Thanks to all who respond in advance

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 cant 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

thus, 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.

Thanks to all who respond in advance

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

thus, 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.

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Leah
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Likert Scales and summed scores

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 cant 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

thus, 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.

Thanks to all who respond in advance