1
Question 1
What is Moderation and how does it develop from the linear regressions
we've discussed so far? Be sure to discuss the equation setup, the "big
idea" of the approach, and anything else you believe is relevant to a
discussion about moderation. The next question will discuss the
conceptual interpretation of coefficient so do not do that in this question.
Moderation analysis determines if the relation ship between an independent and a
dependent variable change across different levels of a different variable referred to
as a moderator. Moderation, therefore, assumes that moderation is that a single,
fixed relationship between an independent variable, say X and dependent variable, say
𝑌, may not hold under all conditions. Instead, the strength or direction of this
relationship varies depending on the value of 𝑀.
Question 2
Describe for me what each of the coefficients in the moderation model
conceptually represent. How should they be interpreted, generally?
The relationship is represented as;
Y
=
β
0+
β
1
X
+
β
2
M
+
β
3(
X × M
)+
ϵ
Where;
β
0
is the intercept, that is, the predicted value of 𝑌 when both 𝑋 and M are zero
β
1
represents the main effect of X, that is, effect of X on 𝑌 when M =0
β
2
represents the main effect of M, that is, effect of M on 𝑌 when X =0
β
3
represents the Interaction effect, that is, X on Y changes depending on M.
Use the disaster data set for the following questions. This data set relates
to the Chapman and Lickel paper within the assignment folder that
investigates the impact of natural disaster framing (frame) on
respondent’s justifications for withholding aid (justify). The authors
propose this effect will be moderated by climate change skepticism
(skeptic).
Question 3
What is meant by "the authors propose this effect will be moderated by
climate change skepticism?" What does that propose?
The authors suggest that climate change skepticism affects how people respond to
disaster framing. The research suggests that framing a disaster as caused by
