Country : | United Kingdom |
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Question 1
Consider the following four measures, constructed for each respondent from their responses to the three immigration_ questions:
A. the mean of the individual’s responses to immigration_same_ethnicity, immigration_diff_ethnicity, and immigration_world_poor
B. the difference between the individual’s responses:
immigration_same_ethnicity - immigration_diff_ethnicity
C. the difference between the individual’s responses:
immigration_diff_ethnicity - immigration_world_poor
D. the minimum value of the individual’s responses to
immigration_same_ethnicity , immigration_diff_ethnicity , and immigration_world_poor
Note for the last of these that minimum means the numerical minimum value, see the above statement for how the numerical levels relate to the survey responses.
State the following for each of the four measures:
i. What is the range of the measure?
ii. What are the units of the measure?
iii. What assumptions are made in the construction of the measure?
Question 2
Question 3
Fit a linear regression ( lm() ) for the equal weight index with dummy variables for countries and include a weight=ess2018$weight argument so that you are using the survey weights. Describe general patterns in which countries’ citizens have higher and lower values of the satisfaction index.
Now, extend the analysis in part A to separately analyze the equal weight index for survey respondents with and without degrees, in each country. There are many ways you could do this, but whichever analysis you do, state clearly what you have done, and describe what we learn about the relationship between educational background and the index, and how it varies across European countries. You will likely find it helpful to present the results of your analysis in a table and/or figure.
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