Reference no: EM132400085

POLI 380 Quantitative Methods in Political Science Assignment - The University of British Columbia, Canada

There are SIX questions.

Q1: Proportion mean & CI using census data

a. Use your census dataset sample to estimate the NUMBER (not the percentage) of people living in Canada who were born outside of the country. Assume the total population of Canada is exactly 35 million. (You have no other source to help you estimate the number, just your sample).

b. Indicate how far away from the true number of people born outside Canada in the full population (i.e. not the percentage) you would expect to be, 19 times out of 20.

Say: ± ______ number of people. (NOT ± %) You can calculate this using the formula for the standard error of a proportion and then use that result to calculate the number of Canadians, as you will have done in question a.

In Canvas, just enter one number for a) and another number for b). For this question you do not need to 'write up' the answers.

Q2. Means from the census

Find the mean 'total income' of people born inside and outside Canada. Restrict your analysis to those aged 25-65. Report the means in a smoothly worded paragraph that summarizes the findings for a reader.

Questions 3 to 5: Canadian National Election Study

Now switch to the 2015 Canadian National Election Study.

DO THIS FIRST:

Draw a random sample of 3,500 cases from the dataset. That way you will all get different samples that I can have my computer replicate.

First, set the random number seed by typing: set seed courseidnumber (where you replace 'courseidnumber' with the same number as your course id (also the number from your census data set), NOT your real student number).

Use the command sample: sample 3500, count.

If you do not include "count" in your command, Stata thinks you want 3500% of your sample and won't be able to do anything.

Now use the separate command count to double check that you now have 3500 cases to work with:

Stata should simply report: 3500. (If it's close, it's ok).

Q3. Attitudes toward marginalized groups spending

We are going to look Canadians' attitudes toward marginalized groups. To start, find the variables that measure survey respondents' evaluation of the following groups on the standard 0-100 thermometer scale. Specifically, find the variables measuring evaluations of Aboriginals, Muslims who live here, gays & lesbians, and visible minorities. NOTE: use the variables with the prefix p_pos_ do not use the variables p_like_. Being careful about recoding, create an index variable that indicates a respondent's average rating of these groups. The index variable should range 0-100.

Next, find the variable that indicates respondents' province of residence.

In a single, concise, and engaging paragraph, summarize the distribution of the 'feelings toward marginalized people index' for a) all survey respondents, b) those who live in Quebec, and c) those who live in BC. Be sure to provide information about how these concepts were measured as well as descriptive information about these distributions (i.e., mean, range, information about spread, information about shape of the distributions).

Your audience is someone reading a newspaper article or op-ed. You'll need to explain, in general terms, what the index variable measures and what different values/scores mean.

Q4: Partisanship, perceptions of politicians, and crosstabs

What is the relationship between beliefs about voting as a choice or a duty and intentions to vote? Start with the variable vote_duty. Exclude people who 'refused' to answer the question from your analysis. For the variable lklytovote, exclude those who said don't know, refused, or 1000. Recode those who already voted to be in the 'certain to vote' category.

Now run a crosstab telling us how responses to the 'likely to vote' variable are distributed within categories of the 'duty' question. Be careful about looking at column or row percentages. Report results of this crosstab in a clear and compelling paragraph. Use some of the results from the table, but not all, when explaining what you found. You do not need to run a chi-square test, or report the p-value, for this question.

Q5: Interpreting a p-value

Create a binary variable that indicates whether people are younger than 35 years old (so 18-34).

Rerun the cross tab you did for Q4 but only among those under 35. When you run the cross tab this time be sure to use the ",chi" command to get a p-value. In a single sentence, report and interpret the p-value for an intelligent reader who knows little about statistics. Your answer should only talk about the p-value and what it means. Don't discuss the percentages present in your crosstab for this question.

Q6: Difference of means

Use the Quality of Government data set. Run a t-test to assess the difference in mean "proportion of seats held by women" among countries with proportional vs majoritarian electoral systems. Use wdi_wip to measure women in parliament and gol_est to measure electoral system (note: exclude countries with 'mixed' electoral systems). Run the t-test only on countries that are clear democracies (specifically countries with a p_democ score of 8, 9, or 10.) Report results from the t-test in a smoothly worded paragraph that explains your findings. Be sure to provide the readers with sufficient information (imagine they know nothing about the data set or variable) to understand your results. Talk about whether or not there is a relationship, and its size and direction. Also, be sure to interpret the p-value.

Attachment:- Quantitative Methods in Political Science Assignment File.rar