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Appendix VI - Statistical Analysis of Behavior Conformity

Published online by Cambridge University Press:  06 December 2010

Matthew E. K. Hall
Affiliation:
St Louis University, Missouri
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Summary

In Chapter 3, I hypothesize that the probability of the Supreme Court achieving high behavior conformity when issuing a ruling will increase when one of the following conditions has been met:

  1. (1) The Court issues a ruling in a vertical issue area, or

  2. (2) The Court issues a popular ruling in a lateral issue area.

However, the probability of the Court achieving high behavior conformity will decrease when:

  1. (3) The Court issues an unpopular ruling in a lateral issue area.

This hypothesis can be formally stated as:

μi = α + β1lateral + β2lateral × popularity + ε

where μ is the average behavior conformity, α is a constant, lateral is an indicator variable for lateral issues, lateral × popularity is an interaction term between an indicator variable for lateral issues and a trichotomous indicator variable indicating the popularity of the Court's ruling, β1 and β2 are coefficients for the effects of these two variables, and ε is the unobserved disturbance. I code the trichotomous indicator variable as 1 if less than 30 percent of respondents in national public opinion surveys indicate opposition to the Court's ruling; as 0 if more than 70 percent of respondents indicate opposition, and as 0.5 otherwise. For those Supreme Court cases in which no national public opinion poll was conducted, I assume the Court faces little public opposition and code the trichotomous indicator variable as 1.

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Publisher: Cambridge University Press
Print publication year: 2010

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