Elaboration
Elaboration is a crosstab adding a control variable (CV).
The control variable must be categorical, with at least two categories, and ideally no more than five categories. The independent and dependent variables must be categorical, with at least two categories and ideally no more than five categories.
With elaboration you get a separate crosstab for every category of your control variable, including a chi-square and p value for each crosstab. This allows you to isolate the effect of the IV on the DV for every value of the CV.
You perform and interpret the hypothesis test the same as for a bivariate crosstab , but you must do it for each of the values of the control variable. The hypotheses are:
Ho: There is no relationship between IV and DV, controlling for a second independent variable (called a CV). Chi-square = 0
H1: There is a relationship between IV and DV, controlling for a second independent variable (called a CV). Chi-square ? 0
We will not be doing elaboration by hand because it will take too long! Although you could. It is not difficult. Just do a bivariate crosstab for each value of the CV.
Example 1: Does race influence people's attitudes about legalizing marijuana when you control for political ideology?
Dependent Variable = attitude about marijuana legalization; measured as should be legal or should not be legal
Independent Variable = race; measured as white or black
Control Variable (CV) = political ideology measured as liberal, moderate, conservative
All variables are categorical, so analysis = elaboration.
Hypotheses:
Null: There is no relationship between race and attitudes about legalizing marijuana, controlling for political ideology. Chi-square = 0.
Research: There is a relationship between race and attitudes about legalizing marijuana, controlling for political ideology. Chi-square does not equal 0.
Do on the Computer, Using SPSS and the GSS 2006
Example 2: Does race influence people' s attitudes about gun permits when controlling for educational degree?
DV = whether people oppose or favor requiring gun owners to have a permit (gunlaw)
IV = race
CV = educational degree (degree) measured as less than HS, HS, some college, college degree, graduate degree
All variables are categorical. So analysis = elaboration
Hypotheses:
Null: There is not a relationship between race and attitudes about gun permits, controlling for educational degree. Chi-square = 0.
Research: There is a relationship between race and attitudes about gun permits, controlling for educational degree. Chi-square does not equal 0.
Do on the Computer, Using SPSS and GSS 2006
Example 3: Take Home Assignment
Does gender influence whether people think preschool age children are hurt when their mother works outside of the home, controlling for race?
Do on the computer. Using SPSS and GSS 2006
The control variable must be categorical, with at least two categories, and ideally no more than five categories. The independent and dependent variables must be categorical, with at least two categories and ideally no more than five categories.
With elaboration you get a separate crosstab for every category of your control variable, including a chi-square and p value for each crosstab. This allows you to isolate the effect of the IV on the DV for every value of the CV.
You perform and interpret the hypothesis test the same as for a bivariate crosstab , but you must do it for each of the values of the control variable. The hypotheses are:
Ho: There is no relationship between IV and DV, controlling for a second independent variable (called a CV). Chi-square = 0
H1: There is a relationship between IV and DV, controlling for a second independent variable (called a CV). Chi-square ? 0
We will not be doing elaboration by hand because it will take too long! Although you could. It is not difficult. Just do a bivariate crosstab for each value of the CV.
Example 1: Does race influence people's attitudes about legalizing marijuana when you control for political ideology?
Dependent Variable = attitude about marijuana legalization; measured as should be legal or should not be legal
Independent Variable = race; measured as white or black
Control Variable (CV) = political ideology measured as liberal, moderate, conservative
All variables are categorical, so analysis = elaboration.
Hypotheses:
Null: There is no relationship between race and attitudes about legalizing marijuana, controlling for political ideology. Chi-square = 0.
Research: There is a relationship between race and attitudes about legalizing marijuana, controlling for political ideology. Chi-square does not equal 0.
Do on the Computer, Using SPSS and the GSS 2006
Example 2: Does race influence people' s attitudes about gun permits when controlling for educational degree?
DV = whether people oppose or favor requiring gun owners to have a permit (gunlaw)
IV = race
CV = educational degree (degree) measured as less than HS, HS, some college, college degree, graduate degree
All variables are categorical. So analysis = elaboration
Hypotheses:
Null: There is not a relationship between race and attitudes about gun permits, controlling for educational degree. Chi-square = 0.
Research: There is a relationship between race and attitudes about gun permits, controlling for educational degree. Chi-square does not equal 0.
Do on the Computer, Using SPSS and GSS 2006
Example 3: Take Home Assignment
Does gender influence whether people think preschool age children are hurt when their mother works outside of the home, controlling for race?
Do on the computer. Using SPSS and GSS 2006
posted by jammie price at 10:50 AM
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