ID=participant identification number
GENDER:
M=Male
F=Female
TM=Trans Male
TF=Trans Female
NB=Non Binary
Missing or refused to answer=999
Employed:
NO=Not employed
YES=Employed
Missing=leave blank
Age: Continuous variable, age in years. If missing leave blank
Education=EDUC: Continuous variable, years of education. If missing = 999
Years living with HIV=Years HIV: Continuous variable, total years since first HIV diagnosis (if
missing leave blank)
AUDIT: Alcohol Use Disorders Identification Test: Continuous scale from 0 to 40 (if missing
leave blank)
Link to AUDIT (if you want to try it):
https://www.drugabuse.gov/sites/default/files/files/AUDIT.pdf (Links to an external site.)Links
to an external site.Links to an external site.
ID
GENDER
AGE
EMPLOYED
EDUC
YEARS HIV
AUDIT
AUD
SES
8021
999
45
NO
8
11
18
8022
M
44
NO
11
21
19
8023
M
47
NO
11
12
6
8024
M
40
YES
9
22
31
8025
999
54
YES
14
13
21
8026
F
50
NOO
10
6
2
8027
f
51
yess
12
20
7
8028
F
49
NO
12
7
31
8028
NB
55
nO
999
15
21
8030
F
470
NO
12
13
8
QUESTIONS
1. List at least three missing or incorrectly entered responses in this database that could be
corrected with minimal likelihood of making incorrect assumptions. How would you correct
those responses?
2. Let's say that an AUDIT score of 16 or higher suggests a possible alcohol use disorder (AUD).
Using 16 as a cutoff, recode the AUDIT into a new column called AUD as a nominal variable,
whereby having a possible AUD=1 and not having a possible AUD=0. Use the cleaned data to
do this.
3. Create a new variable called SES, by recalculating education and employment as follows: A
person who is employed and has at least 12 years of education=2; all others=1. Use the cleaned
data to do this. Leave a cell blank if the information is not available.
ID
GENDER
AGE
EMPLOYED
EDUC
YEARS HIV
AUDIT
AUD
SES
8021
999
45
NO
8
11
18
8022
M
44
NO
11
21
19
8023
M
47
NO
11
12
6
8024
M
40
YES
9
22
31
8025
999
54
YES
14
13
21
8026
F
50
NOO
10
6
2
8027
f
51
yess
12
20
7
8028
F
49
NO
12
7
31
8028
NB
55
nO
999
15
21
8030
F
470
NO
12
13
8.
1. ID=participant identification number
GENDER:
M=Male
F=Female
TM=Trans Male
TF=Trans Female
NB=Non Binary
Missing or refused to answer=999
Employed:
NO=Not employed
YES=Employed
Missing=leave blank
Age: Continuous variable, age in years. If missing leave blank
Education=EDUC: Continuous variable, years of education. If missing = 999
Years living with HIV=Years HIV: Continuous variable, total years since first HIV diagnosis (if
missing leave blank)
AUDIT: Alcohol Use Disorders Identification Test: Continuous scale from 0 to 40 (if missing
leave blank)
Link to AUDIT (if you want to try it):
https://www.drugabuse.gov/sites/default/files/files/AUDIT.pdf (Links to an external site.)Links
to an external site.Links to an external site.
ID
GENDER
AGE
EMPLOYED
EDUC
YEARS HIV
AUDIT
AUD
SES
8021
999
45
4. 12
7
31
8028
NB
55
nO
999
15
21
8030
F
470
NO
12
13
8
QUESTIONS
1. List at least three missing or incorrectly entered responses in this database that could be
corrected with minimal likelihood of making incorrect assumptions. How would you correct
those responses?
2. Let's say that an AUDIT score of 16 or higher suggests a possible alcohol use disorder (AUD).
Using 16 as a cutoff, recode the AUDIT into a new column called AUD as a nominal variable,
whereby having a possible AUD=1 and not having a possible AUD=0. Use the cleaned data to
do this.
3. Create a new variable called SES, by recalculating education and employment as follows: A
person who is employed and has at least 12 years of education=2; all others=1. Use the cleaned
5. data to do this. Leave a cell blank if the information is not available.
ID
GENDER
AGE
EMPLOYED
EDUC
YEARS HIV
AUDIT
AUD
SES
8021
999
45
NO
8
11
18
8022
M
44
NO
11
21
19
8023
M
47
NO
