What's a good way to contrast two measured concepts from a survey? [on hold]
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So, I'm working on how to analyze the relationship between two measures that have been calculated by aggregating responses on a Likert Scale where strongly disagree=1, strongly agree=6...Our research question is expecting the two measures to have an inverse relationship (measure 1 = how much partisan media bias is perceived in support of one's political affiliation & measure 2 = how much partisan media bias is perceived against one's political affiliation), so we want to find a "score" that represents the degree of difference between the two measures...
Would the best way to go about this be to take a percentage/decimal of the max possible score for each measure and then subtract measure 1 from measure 2? or divide one measure by the other?
Any help would be appreciated!
statistics soft-question research
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put on hold as off-topic by John B, Hyperplane, ArsenBerk, Leucippus, Anurag A Nov 16 at 3:33
- This question does not appear to be about math within the scope defined in the help center.
If this question can be reworded to fit the rules in the help center, please edit the question.
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So, I'm working on how to analyze the relationship between two measures that have been calculated by aggregating responses on a Likert Scale where strongly disagree=1, strongly agree=6...Our research question is expecting the two measures to have an inverse relationship (measure 1 = how much partisan media bias is perceived in support of one's political affiliation & measure 2 = how much partisan media bias is perceived against one's political affiliation), so we want to find a "score" that represents the degree of difference between the two measures...
Would the best way to go about this be to take a percentage/decimal of the max possible score for each measure and then subtract measure 1 from measure 2? or divide one measure by the other?
Any help would be appreciated!
statistics soft-question research
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
put on hold as off-topic by John B, Hyperplane, ArsenBerk, Leucippus, Anurag A Nov 16 at 3:33
- This question does not appear to be about math within the scope defined in the help center.
If this question can be reworded to fit the rules in the help center, please edit the question.
you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47
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-1
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up vote
-1
down vote
favorite
So, I'm working on how to analyze the relationship between two measures that have been calculated by aggregating responses on a Likert Scale where strongly disagree=1, strongly agree=6...Our research question is expecting the two measures to have an inverse relationship (measure 1 = how much partisan media bias is perceived in support of one's political affiliation & measure 2 = how much partisan media bias is perceived against one's political affiliation), so we want to find a "score" that represents the degree of difference between the two measures...
Would the best way to go about this be to take a percentage/decimal of the max possible score for each measure and then subtract measure 1 from measure 2? or divide one measure by the other?
Any help would be appreciated!
statistics soft-question research
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
So, I'm working on how to analyze the relationship between two measures that have been calculated by aggregating responses on a Likert Scale where strongly disagree=1, strongly agree=6...Our research question is expecting the two measures to have an inverse relationship (measure 1 = how much partisan media bias is perceived in support of one's political affiliation & measure 2 = how much partisan media bias is perceived against one's political affiliation), so we want to find a "score" that represents the degree of difference between the two measures...
Would the best way to go about this be to take a percentage/decimal of the max possible score for each measure and then subtract measure 1 from measure 2? or divide one measure by the other?
Any help would be appreciated!
statistics soft-question research
statistics soft-question research
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Nov 15 at 17:37
Corey R
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New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Corey R is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
put on hold as off-topic by John B, Hyperplane, ArsenBerk, Leucippus, Anurag A Nov 16 at 3:33
- This question does not appear to be about math within the scope defined in the help center.
If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as off-topic by John B, Hyperplane, ArsenBerk, Leucippus, Anurag A Nov 16 at 3:33
- This question does not appear to be about math within the scope defined in the help center.
If this question can be reworded to fit the rules in the help center, please edit the question.
you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47
add a comment |
you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47
you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47
you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47
add a comment |
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you could look at the correlation between the two measures.
– Tyberius
Nov 15 at 17:47