代写Quantitative Methods、代做R、代写Politics、代写R语言程序

日期：2018-11-09 10:14

Cologne Center for Comparative Politics

Introduction to Quantitative Methods -- Fall 2018

Bruno Castanho Silva

Assignment 3

Please complete this assignment in R Markdown, including your code and results. Upload

only the “.rmd” file. Make sure it knits into a pdf of no more than 3 pages before uploading.

This assignment will count 15% towards your final grade. The deadline to upload it is

November 13, at 23:55 Central European Time. Do upload your work even if you were not

able to complete one or a few of the tasks, so you can still receive partial credit.

Each student must write and submit their own individual answers.

This time we are using data from the World Values Survey, wave 6 (data attached, in the file

wvs6.dta). The WVS codebook is attached, as “WV6_Codebook_v_2014_11_07.xls”.

Tip: use the following command to read the data:

wvs<-read.dta(‘wvs6.dta’, convert.factors=F)

Tasks:

1) For the entire assignment, you will work with only a subset of the data. Select the

country according to your date of birth, following the table at the end of this

document. Example: if you were born on the 17th of the month, subset the data to

include only respondents from Kazakhstan, following the country codes in variable

V2.

2) Provide descriptive statistics for basic demographic characteristics of this sample.

For example (but not necessarily) in terms of levels of education, male/female ratio,

or age.

3) Pick any continuous (numerical) variable in which you are interested. This will be

your dependent variable for the rest of the assignment.

a) What are its mean, median, and standard deviation?

b) How is it distributed? Is it close to normal?

c) Select a binary variable that divides respondents into two groups and run a

two-samples t-test, where the DV is the continuous variable you were just

working with. Is there a significant difference between the two groups? Give a

quick substantive (social scientific) interpretation in 2-3 sentences.

d) Produce a graph to convey this result (options include, but are not limited to,

a density plot or a bar plot).

4) Now select another continuous variable you might be interested. How much does it

correlate with the previous? Is there a reasonable theoretical explanation for the

correlation (or lack thereof)? Show their correlation with a scatterplot that contains

also a linear regression line between the two and 95% confidence intervals.

5) Now, build a regression model to explain that continuous dependent variable. Include

as independent variables the binary variable used in question 3, the continuous

variable used in question 4, and any other controls that may be relevant. In one

paragraph, interpret the results.

Table for countries:

Birthday Country Birthday Country

1 Taiwan 17 Kazakhstan

2 Algeria 18 Jordan

3 Colombia 19 Brazil

4 Ecuador 20 South Korea

5 Azerbaijan 21 Kuwait

6 Argentina 22 Kyrgyztan

7 Australia 23 Lebanon

8 Estonia 24 Belarus

9 Bahrain 25 Libya

10 Palestine 26 Malaysia

11 Armenia 27 Mexico

12 Germany 28 Morocco

13 Hong Kong 29 Netherlands

14 India 30 Chile

15 Iraq 31 China

16 Japan