Exercise Set 1 4ed for students
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U201
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Mathematics
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Apr 3, 2024
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Socy U201
Professor King
Exercise Set 1 – Chapters 1 and 2
For this assignment, you will complete the following exercises from Chapters 1 and 2. Show your work and also be sure to answer the questions with a written explanation. Chapter 1
Exercise 2
Question:
The ANES dataset has two variables for age: AGE (the respondent’s age in years) and XYAGE4CAT (age in
four categories). This latter variable is a variable that Linneman created using the original age variable. It’s your
turn now – write out how you would recode the original age variable to create a new variable that will be
identical to this four-category age variable. You can examine the variables in the Data Window to make sure
that SPSS did what you asked it to do.
Original Age variable
-9= RF (year of birth)
-8= DK
90= 90. Age 90 or older
XYAGE4CAT
0= 18-34
1=35-50
2=51-63
3=64&up
I would recode this variable to look something like this, if going similar to XYAGEG4CAT
0= 25 or younger
1= 25-50
2= 50-75
3= 75&up
Exercise 8
Question:
Using the original PewHealth variables “quallife” and “health,” plan an index where 0 is lack of good health
and quality of life and the highest number is the opposite: excellent health and excellent quality of life. Describe
how you would recode the original variables, and describe what your resulting index would look like.
The original values for “Quallife” where
1=excellent
2=Very Good
3=Good
4=Fair
5=Poor
8=Don’t Know
9=Refused
The original values for “health” where
1=Excellent
2=Good
3=Only fair
4=Poor
8=Don’t Know
9=Refused
If recoding these variables together- I would need to consider a measure that sort of “synthesizes” a measure for
both. So I would call the new variable something like “QOL&Health”.
QOL&Health would look something like
0= Lack of Good Health/Quality of life
1= Fair
2= Good
4= Excellent
Exercise 18
Question:
The WVS dataset contains these three variables about political participation: PARTPET (percentage of the
country’s population that has signed a petition), PARTBOYC (percentage of country’s population that has
participated in a boycott), and PARTDEMO (percentage of country’s population that has participated in a
peaceful demonstration). Could you combine these variables into a variable that represents the percentage of
country’s population that has participated in all three behaviors? Explain why or why not.
Although there is not values for the 3 variables, you should be able to combine them. You could do this through
the transform function in SPSS by recoding them into a different variable. Chapter 2
Exercise 2
Question:
To do this exercise, you’ll work with a unique small group of respondents from the dataset. Linneman create a
unique group ANES data which included only women who have been arrested and stopped by the police in the
past year but still reported supporting the police. The relevant data is on other questions, though: those two
variables are: whether a respondent has health insurance and who they voted for in the 2016 election. Here is
that data for this unique small group of respondents:
Woman 1
no insurance, Clinton
Woman 2
yes insurance, Trump
Woman 3
yes insurance, Trump
Woman 4
yes insurance, Clinton
Woman 5
no insurance, Trump
Woman 6
yes insurance, Trump
Woman 7
no insurance, Clinton
Woman 8
yes insurance, Trump
Woman 9
yes insurance, Trump
Use this information to create a complete crosstab, and then use that crosstab to address this question: does
having health insurance affect voting choice?
The crosstab would look like
C T
Has Insurance 11.11% 55.56%
Does not Have Insurance 22.22% 11,11%
The crosstab shows that approximately 44.45% of those with insurance are more likely to vote for Trump.
While approximately 11.11% more voters without health insurance are more likely to vote for Clinton.
Exercise 8
Question:
Caring for a disabled or sick child can be taxing to say the least. Using the PewHealth dataset, create a crosstab
and address this question: Does caring for a sick child affect one’s family’s quality of life, and is this
relationship the same for men and women?
According to the Pew health crosstab, women are recorded to report poorer QOL satisfaction for caring with a
sick child (at 7.1%. Men reporting a 6.1%). Men however are reported to have approximately no difference
between poor and excellent quality of life (18.2% excellent QOL for both with and without sick child, while 6.1
poor QOL life both with and without sick child).
Exercise 16
Question:
Using the PewSocialMedia dataset, address this question: are women more likely to use Pinterest (as measured by the variable use4pinterest) than men are? Yes, by a significant amount. Males responded yes with a recorded 8.2%, as opposed to females 30.6%. The rest of the 91.8% of males responded “no”, as opposed to the rest of the 69.4% of females who said they don’t use pinterest.
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