How to use a Non-Linear Ordinal Variable as (In)dependent Variable?
I am using the World Values Survey and the answers to my independent variable are as follows:
Daily
Weekly
Monthly
Never
Answers to my dependent variable:
Always
Usually
Never
As you can see, the categories of the ordinal variable are not equally spaced. Would it be any possible to use this variable in my regression analysis?
regression stata ordinal-data continuous-data
asked Dec 23 at 11:41
Uğurcan Evci
82
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I am using the World Values Survey and the answers to my independent variable are as follows:
Daily
Weekly
Monthly
Never
Answers to my dependent variable:
Always
Usually
Never
As you can see, the categories of the ordinal variable are not equally spaced. Would it be any possible to use this variable in my regression analysis?
regression stata ordinal-data continuous-data
asked Dec 23 at 11:41
Uğurcan Evci
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I am using the World Values Survey and the answers to my independent variable are as follows:
Daily
Weekly
Monthly
Never
Answers to my dependent variable:
Always
Usually
Never
As you can see, the categories of the ordinal variable are not equally spaced. Would it be any possible to use this variable in my regression analysis?
regression stata ordinal-data continuous-data
asked Dec 23 at 11:41
Uğurcan Evci
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I am using the World Values Survey and the answers to my independent variable are as follows:
Daily
Weekly
Monthly
Never
Answers to my dependent variable:
Always
Usually
Never
As you can see, the categories of the ordinal variable are not equally spaced. Would it be any possible to use this variable in my regression analysis?
regression stata ordinal-data continuous-data
regression stata ordinal-data continuous-data
asked Dec 23 at 11:41
Uğurcan Evci
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Dec 23 at 11:41
Uğurcan Evci
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Dec 23 at 11:41
Uğurcan Evci
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Dec 23 at 11:41
Uğurcan Evci
82
asked Dec 23 at 11:41
Uğurcan Evci
82
82
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Uğurcan Evci is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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For the dependent variable, the usual starting point is ordinal logistic regression. This makes some assumptions (chiefly that of proportional odds) and there are ways of dealing with violations of this. These have been discussed here before.
For the independent variable, things are a little murkier. Some people treat it as categorical, some as continuous (e.g. by coded them with numbers). One general approach is optimal scaling. I don't know if this is available in Stata.
For your particular variable, one approach that I have used is to convert it into times per month. So, daily - 30, weekly = 4, monthly = 1, never = 0. You can do a sensitivity analysis by changing these a bit (after all, people who answer "daily" might not be exactly 30 times per month).
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
add a comment |
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1 Answer
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1 Answer
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active
oldest
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active
oldest
votes
For the dependent variable, the usual starting point is ordinal logistic regression. This makes some assumptions (chiefly that of proportional odds) and there are ways of dealing with violations of this. These have been discussed here before.
For the independent variable, things are a little murkier. Some people treat it as categorical, some as continuous (e.g. by coded them with numbers). One general approach is optimal scaling. I don't know if this is available in Stata.
For your particular variable, one approach that I have used is to convert it into times per month. So, daily - 30, weekly = 4, monthly = 1, never = 0. You can do a sensitivity analysis by changing these a bit (after all, people who answer "daily" might not be exactly 30 times per month).
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
add a comment |
For the dependent variable, the usual starting point is ordinal logistic regression. This makes some assumptions (chiefly that of proportional odds) and there are ways of dealing with violations of this. These have been discussed here before.
For the independent variable, things are a little murkier. Some people treat it as categorical, some as continuous (e.g. by coded them with numbers). One general approach is optimal scaling. I don't know if this is available in Stata.
For your particular variable, one approach that I have used is to convert it into times per month. So, daily - 30, weekly = 4, monthly = 1, never = 0. You can do a sensitivity analysis by changing these a bit (after all, people who answer "daily" might not be exactly 30 times per month).
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
add a comment |
For the dependent variable, the usual starting point is ordinal logistic regression. This makes some assumptions (chiefly that of proportional odds) and there are ways of dealing with violations of this. These have been discussed here before.
For the independent variable, things are a little murkier. Some people treat it as categorical, some as continuous (e.g. by coded them with numbers). One general approach is optimal scaling. I don't know if this is available in Stata.
For your particular variable, one approach that I have used is to convert it into times per month. So, daily - 30, weekly = 4, monthly = 1, never = 0. You can do a sensitivity analysis by changing these a bit (after all, people who answer "daily" might not be exactly 30 times per month).
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
For the dependent variable, the usual starting point is ordinal logistic regression. This makes some assumptions (chiefly that of proportional odds) and there are ways of dealing with violations of this. These have been discussed here before.
For the independent variable, things are a little murkier. Some people treat it as categorical, some as continuous (e.g. by coded them with numbers). One general approach is optimal scaling. I don't know if this is available in Stata.
For your particular variable, one approach that I have used is to convert it into times per month. So, daily - 30, weekly = 4, monthly = 1, never = 0. You can do a sensitivity analysis by changing these a bit (after all, people who answer "daily" might not be exactly 30 times per month).
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
answered Dec 23 at 11:53
Peter Flom♦
74.1k11105202
74.1k11105202
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
add a comment |
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
1
1
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Great answer, thank you so much!
– Uğurcan Evci
Dec 24 at 12:16
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
Thank you. Since you are new,the usual thing to do when an answer meets your needs is to "accept" it by clicking the check mark.
– Peter Flom♦
Dec 24 at 12:20
add a comment |
Uğurcan Evci is a new contributor. Be nice, and check out our Code of Conduct.
Uğurcan Evci is a new contributor. Be nice, and check out our Code of Conduct.
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