Which combination of regression techniques to McCright and Dunlap use in their research on attitudes toward global warming?
A) logistic regression and nested modeling
B) logistic regression and interaction effects
C) nested modeling and interaction effects
D) nested modeling and standardized effects

Question

Quizplus · Accepted Answer

McCright and Dunlap used logistic regression and interaction effects in their research on attitudes toward global warming. Logistic regression is used for modeling the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. Interaction effects in regression analysis are the combined effects of variables on the criterion that are not simply additive. Their research aimed to understand how different variables interacted and influenced attitudes towards global warming, making the combination of logistic regression and interaction effects appropriate for their analysis.

Which Combination of Regression Techniques to McCright and Dunlap Use