Dear all,
I need your assistance with a multiple response problem in a survey.
A sociological research came to see if there are relations between people’s ethnicity and their opinion on who is suitable to be a president.
Respondents from five ethnic groups (whites, blacks, Hispanics ,Native Americans and Asians), and all ages (grouped to kids, teenagers and adults) were given profiles of ten imaginary candidates for presidency. Two of the candidates were white, two were black, two were Hispanic, two were Native Americans and two Asians. Every pair was divided into one male and one female (candidate 1 is a white male, candidate 2 is a white female, etc…).
The subjects were asked two main questions:
1. Which one of the candidates are suitable to be the president?
2. Which one of the candidates are not suitable to be the president?
For each question, they could mark one or more candidate, and therefore, for each respondent, each candidate got one of three marks: Suitable to be president, not suitable to be president or no opinion at all.
I wish to test whether there is a relation between the subject’s ethnicity and his/her answers. I would also like to take into account the subject’s gender and age. It’s interesting to check if people voted to candidate with the same background, if the candidate’s gender was a factor, and if people voted for candidates of another ethnicity, for which one.
After a quick research, I found that the easier way to test the relation between the ethnicity and the choice of the respondents is using th Rao-Scott correction of the Chi Square test. I also know that Stata can do it. I did not find how to.
My questions are:
1. How do I use the Rao-Scott test in Stata (got Stata 14 for now).
2. Is there another way of doing it ? Is there a model that can adjust for age, gender, etc...?
Thank you in advance !
I need your assistance with a multiple response problem in a survey.
A sociological research came to see if there are relations between people’s ethnicity and their opinion on who is suitable to be a president.
Respondents from five ethnic groups (whites, blacks, Hispanics ,Native Americans and Asians), and all ages (grouped to kids, teenagers and adults) were given profiles of ten imaginary candidates for presidency. Two of the candidates were white, two were black, two were Hispanic, two were Native Americans and two Asians. Every pair was divided into one male and one female (candidate 1 is a white male, candidate 2 is a white female, etc…).
The subjects were asked two main questions:
1. Which one of the candidates are suitable to be the president?
2. Which one of the candidates are not suitable to be the president?
For each question, they could mark one or more candidate, and therefore, for each respondent, each candidate got one of three marks: Suitable to be president, not suitable to be president or no opinion at all.
I wish to test whether there is a relation between the subject’s ethnicity and his/her answers. I would also like to take into account the subject’s gender and age. It’s interesting to check if people voted to candidate with the same background, if the candidate’s gender was a factor, and if people voted for candidates of another ethnicity, for which one.
After a quick research, I found that the easier way to test the relation between the ethnicity and the choice of the respondents is using th Rao-Scott correction of the Chi Square test. I also know that Stata can do it. I did not find how to.
My questions are:
1. How do I use the Rao-Scott test in Stata (got Stata 14 for now).
2. Is there another way of doing it ? Is there a model that can adjust for age, gender, etc...?
Thank you in advance !
