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Nov 12, 2022

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SACR 3080, Fall 2022, Assignment 2
In this assignment, you will need a warmup syntax file, ‘warm2-f-22-syntax.r’ and two data files. All are available in the library at
U:308Arnold
and will also be available on the Blackboard site.
You can, as before, load the data file with the ‘load’ command, or you can point and click to the directory and click on the files.
For your computer work, you should only hand in your syntax. You will need the output to do your writeup, but the syntax will be sufficient for grading.
Computing Phase
To get the output you need, you will need the data files ‘stress00.rdata’, and ‘ces_as1.rdata’, each available from the course directory and the Blackboard site.
1. First, you should obtain basic graphs and statistics for two variables n ’ces_as1.rdata’, ‘yrbirth’ and ‘conservatives’. Then you should
obtain Pearson’s r for yrbirth and conservatives (which we will treat as interval for the purposes of this assignment); then
obtain a scatterplot, with a smooth and a linear trend line for these two variables. (16 points)
2. For ‘stress00.rdata’ you should obtain basic graphs (histograms, boxplots, barplots, pie charts and dotcharts), as appropriate for the level of measurement, for all four variables described below. ( (15 points)
3. Obtain appropriate descriiptive statistics for central tendency and dispersion for the four variables. (10 points)
4. Obtain a crosstabulation showing faculty by religion. (Make sure to get chi- square.) Then get the two types of association plot shown in the warmup. (8 points)
5. Next, you should obtain a crosstabulation between grades and experience
of stress in the week before the data were gathered. Then get the two types of association plot for these two variables. (8 points)
Writeup Phase
6. Assuming that it has been correctly applied, how do we interpret
the value of r you have obtained? Based on what you have come up with, can we make a case that r is not a sensible measure of association here? How? (8 points)
7. For the table of faculty by religion, please calculate lambda, and show your calculations. Then explain what the value you have obtained means. Also explain what the chi-square results for this table tell us.
(11 points)
8. You will not get values for gamma or d from the code in the example. So you won’t have to take the time to calculate them for the table including grades and stress, here they are:
gamma =.09, s.e.=.04, t=1.53, p>.10
d =.06, s.e.=.04 t=1.53, p>.10
Explain what gamma tells us about the link between ratings of the parties. Is there a case for using Somers’ d instead? Why do you say this? Why are we using gamma and d for this table, but not for the one linking religion and faculty?
(9 points)
13. Is gamma statistically significant? Why do you say this? What does the phrase ‘statistically significant’ mean? The confidence interval for gamma in these data goes approximately from .01 to .17. What does this tell us?
(8 points)
14. Create and hand in a table, in the form shown in the text, based on the data on grades and stress.
(6 points)
15. Using one of the plots displaying the standardized (Pearson) residuals, describe what the residuals tell us. What do the residuals in the plots not displaying standardized residuals tell us?
(9 points) Total Points = 108
Variable Coding’
We will be using two variables from the file ‘ces_as1.rdata’. They are coded as
follows: yrbirth
is just the year in which the respondent was born conservatives
is the respondent’s rating of the Federal conservative party, on a scale from 0 to 100, where 0 is the lowest possible rating and 100 the highest.
We will be using four variables from the file ‘stress00.rdata’. They are coded as follows:
religion
1 – Catholic
2 – Protestant 3 – Other
4 – None
faculty
1 – Business
2 – Education
3 – Engineering 4 – FAHSS
5 – Nursing
6 – Others
grades
1-F 2-D 3-C 4-B 5-A
stressed
is a report on the experience of the last week, coded from 1 = none to 5 = extreme stress .

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