Name ______________________________________________________________
Sociology 113
Statistical and Computer Methods for Social Research
Winter 2020
HW #2: Due by 11:59PM PST on Monday, February 10th via TurnItIn
Directions
Useful videos: ?https://www.youtube.com/watch?v=T9nI6vhTU1Y
?https://www.statisticshowto.datasciencecentral.com/one-sample-t-test/
?https://www.statisticssolutions.com/manova-analysis-one-sample-t-test/
Assignment:
1. The hypothesis test that we have examined so far is ?univariate?, ?one-sample t-test?,
meaning we are only looking at one social variable within one population and we
are ?not ?comparing social groups to one another. T-test of means and proportions.
“A ?one?-?sample t?-?test? is used to test whether a population mean is significantly different
from some hypothesized value. … Each makes a statement about how the true
population mean µ is related to some hypothesized value; the symbol ? means ” not
equal to “.)”
a. After you have examined that carefully, conduct ?two? hypothesis tests (one using
means, the other proportions) on a variable using SPSS or STATA and produce a
table displaying the results of a hypothesis test. Choose a single variable from
the GSS (preferably a ratio-level variable) to work with here. Make sure that the
variable is appropriate for examining means or proportions (level of
measurement). ?Just for your information,? here are the t equations for means and
proportions:
One-sample? t? or z formula for ?means
1
One-sample t or z for ?proportions.
You will not have to perform this calculation, just locate the result on you printout. Note
that if you ?were? calculating ?t y
? ourself and you do not know the population
parameters,? you must either make them up (for the purpose of this assignment) or
use the sample statistic version of that parameter (variable).
b. Also produce any other tables you see are necessary (i.e. frequency distribution).
c. You must imagine the research you are doing; that is, begin your paper with an
overview of a sociological concern that you wish to resolve through the data. Be
sure to state your H?o? and H?a? hypotheses, and then proceed with each of the other
steps of the hypothesis testing process.
d. Pull necessary figures from your table(s) to place in your report. (i.e. mean,
p-values, etc…)
e. Be sure to draw the right conclusion in the end.
f. Remember, this is a research report, so write clearly and effectively. A one-page
report should be enough.
g. Be sure to ask the class leadership for assistance.
2
*————————————————–*
*
SOCIOL 113 – GSS MINI-DATASET CODEBOOK
*
File Name: soc113_gssminidata_codebook.txt
*
Academic Quarter: W2020
*
Date(s): Tues. 01/21/2020
*
TA: Carmella Stoddard
*
Updated: 01/30/2020 at 3:24PM
*————————————————–*
// FILE DESCRIPTION:
// List of variables, variable labels/values, and frequency
// tables for GSS 2016-2018 Mini-Dataset
// DATASET DESCRIPTION:
// Mini-Dataset from GSS 2016-2018 for SOCIOL 113 (Winter 2020)
// GSS SURVEY YEAR(S) INCLUDED:
// 2016, 2018
// FORMATS:
// Stata (Control + System)
// Stata Data File (.dta)
*** VARIABLE GUIDE ***
// Variable name is in ALL CAPS;
// Variable label is shown in PARENTHESES;
// “R” means “Respondent,” which is the person who
// responded to the GSS survey
//
//
//
//
//
** Default Survey Identification **
** (DO NOT DELETE THESE VARIABLES!) **
BALLOT (Ballot used for interview)
ID_ (Respondent id number)
YEAR (Gss year for this respondent)
//
//
//
//
//
//
//
//
//
//
//
//
//
//
//
//
//
** Respondent Basic Demographics **
AGE (Age of respondent)
BORN (Was r born in this country)
DEGREE (Rs highest degree)
EDUC (Highest year of school completed)
HISPANIC (Hispanic specified)
MARITAL (Marital status)
MARCOHAB (Cohabitation status)
RACE (Race of respondent)
REALRINC (Rs income in constant $)
REG16 (Region of residence, age 16)
REGION (Region of interview)
RINCOME (Respondents income)
SEI10 (R’s socioeconomic index (2010))
SEX (Respondent sex)
SEXNOW (What is your current gender?)
ZODIAC (Respondents astrological sign)
// ** Respondent Employment Demographics **
// HRS1 (Number of hours worked last week)
// PRESTG10 (Rs occupational prestige score (2010))
// WRKSTAT (Labor force status)
//
//
//
//
//
//
//
//
//
//
** Family Demographics **
CHILDS (Number of children)
COEDUC (Highest year school completed, partner)
MAEDUC (Highest year school completed, mother)
PAEDUC (Highest year school completed, father)
PARBORN (Were rs parents born in this country)
SIBS (Number of brothers and sisters)
SPDEG (Spouses highest degree)
SPEDUC (Highest year school completed, spouse)
SPWRKSTA (Spouse labor force status)
// ** Government Spending **
// EQWLTH (Should govt reduce income differences)
// NATACTIVE (Natural environments are a good place for physical activity, such as
walking, cycling, sports, etc)
// NATAID (Foreign aid)
// NATARMS (Military, armaments, and defense)
// NATCHLD (Assistance for childcare)
// NATEDUC (Improving nations education system)
// NATENRGY (Developing alternative energy sources)
// NATENVIR (Improving & protecting environment)
//
//
//
//
//
//
//
//
//
//
//
//
//
** Internet & Media Use **
EMAILHR (Email hours per week)
FACEBOOK (Use facebook)
INSTAGRM (Use instagrm)
NEWS (How often does r read newspaper)
NEWSFROM (Main source of information about events in the news)
PINTERST (Use pinterst)
SNAPCHAT (Use snapchat)
TUMBLR (Use tumblr)
TVHOURS (Hours per day watching tv)
TWITTER (Use twitter)
VINE (Use vine)
WWWHR (Www hours per week)
//
//
//
//
//
//
//
//
//
//
//
//
//
//
//
//
** Pets **
BIRD (Bird)
BIRDB4 (Bird)
CAT (Cat)
CATB4 (Cat)
DOG (Dog)
DOGB4 (Dog)
FISH (Fish)
FISHB4 (Fish)
GOAT (Goat)
GOATB4 (Goat)
HORSE (Horse)
HORSEB4 (Horse)
NUMPETS (How many pets r’s family has)
OTHPET (Other pet)
OTHPETB4 (Other pet)
//
//
//
//
//
//
//
//
//
//
//
//
//
//
PETB4 (Did r’s family have a pet 5 years ago)
PETB4CMFRT (How often r used to seek pet for comfort when feeling bad)
PETB4FAM (How often r considered pet member of family)
PETB4PLY (How often r used to spend time each day playing with or training pet)
PETCMFRT (How often r seeks pet for comfort when feeling bad)
PETFAM (How often r considers pet member of family)
PETPLAY (How often r spends time each day playing with or training pet)
PIG (Pig)
PIGB4 (Pig)
REPTILE (Reptile (turtle, snake, lizard))
REPTILEB4 (Reptile (turtle, snake, lizard))
SMAMMAL (Small mammal (rabbit, gerbil, hamster))
SMAMMALB4 (Small mammal (rabbit, gerbil, hamster))
WHYNOPET (Reason why r’s family has no pet)
// ** Politics **
// FEPOL (Women not suited for politics)
// IF12WHO (Who would r have voted for in 2012 election)
// IF16WHO (Who you would have voted for)
// PARTPART (In past 12 months, r has participated in orgs for politics or
political associations)
// PARTYID (Political party affiliation)
// POLVIEWS (Think of self as liberal or conservative)
// PRES12 (Vote obama or romney)
// PRES16 (Vote clinton or trump)
// USWARY (Expect u.s. in world war in 10 years)
// VOTE12 (Did r vote in 2012 election)
// VOTE16 (Remember if voted in 2016 election)
//
//
//
//
//
** Race **
CLOSEBLK (How close feel to blacks)
CLOSEWHT (How close feel to whites)
INTHISP (Is interviewer spanish, hispanic or latino)
RACWORK (Racial makeup of workplace)
// ** Religious Activities **
// ATTEND (How often r attends religious services)
// RELIG (Rs religious preference)
//
//
//
//
** Social Networks **
SOCREL (Spend evening with relatives)
SOCOMMUN (Spend evening with neighbor)
SOCFREND (Spend evening with friends)
//
//
//
//
** Sports **
AMSPORTS (Agree sports makes me proud to be an american)
GRPSPRTS (R belongs to a sports, leisure, or cultural grp)
MEMSPORT (Membership in sports club)
//
//
//
//
** Survey Respondent Self-Assessments **
CLASS_ (Subjective class identification)
HAPPY (General happiness)
RANK (Rs self ranking of social position)
—————————————————————————————————————————————————————————–*** CODEBOOK OUTPUT ***
—————————————————————————————————————————————————————————–year
Gss year for this respondent
—————————————————————————————————————————————————————————–type:
range:
unique values:
tabulation:
numeric (float)
[2016,2018]
2
Freq.
2,867
2,348
units:
missing .:
1
0/5,215
Value
2016
2018
—————————————————————————————————————————————————————————–id_
Respondent id number
—————————————————————————————————————————————————————————–type:
numeric (float)
range:
unique values:
unique mv codes:
[1,2867]
2,865
2
mean:
std. dev:
1318.1
774.291
percentiles:
10%
263
units:
missing .:
missing .*:
25%
654
50%
1305
1
0/5,215
4/5,215
75%
1957
90%
2347
—————————————————————————————————————————————————————————–wrkstat
Labor force status
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp001x, but label does not exist
range:
unique values:
unique mv codes:
[1,8]
8
1
tabulation:
Freq.
2,455
604
110
202
1,019
157
526
137
5
units:
missing .:
missing .*:
1
0/5,215
5/5,215
Value
1
2
3
4
5
6
7
8
.n
—————————————————————————————————————————————————————————–hrs1
Number of hours worked last week
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp002x, but 80 nonmissing values are not labeled
[1,89]
80
3
units:
missing .:
missing .*:
1
0/5,215
2,188/5,215
40
45
.i
.i
—————————————————————————————————————————————————————————–marital
Marital status
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp003x
range:
unique values:
unique mv codes:
[1,5]
5
1
tabulation:
Freq.
2,210
451
898
177
1,476
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
Label
Married
Widowed
Divorced
Separated
Never married
1
0/5,215
3/5,215
3
.n
—————————————————————————————————————————————————————————–spwrksta
Spouse labor force status
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp004x
range:
unique values:
unique mv codes:
[1,8]
8
2
tabulation:
Freq.
1,210
186
46
42
383
21
268
40
3,002
17
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
6
7
8
.i
.n
1
0/5,215
3,019/5,215
Label
Working full-time
Working part-time
Temporarily not working
Unemployed, laid off
Retired
School
Keeping house
Other
—————————————————————————————————————————————————————————–sibs
Number of brothers and sisters
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp005x, but 29 nonmissing values are not labeled
[0,43]
29
2
units:
missing .:
missing .*:
1
0/5,215
10/5,215
1
2
3
6
—————————————————————————————————————————————————————————–childs
Number of children
——————————————————————————————————————————————————————————
type:
label:
numeric (float)
gsp006x, but 8 nonmissing values are not labeled
range:
unique values:
unique mv codes:
[0,8]
9
1
tabulation:
Freq.
1,460
808
1,356
850
379
166
98
48
38
12
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
5
6
7
8
.n
1
0/5,215
12/5,215
Label
Eight or more
—————————————————————————————————————————————————————————–age
Age of respondent
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp007x, but 71 nonmissing values are not labeled
[18,89]
72
1
units:
missing .:
missing .*:
1
0/5,215
17/5,215
31
42
55
66
—————————————————————————————————————————————————————————–educ
Highest year of school completed
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp008x, but 21 nonmissing values are not labeled
[0,20]
21
2
12
12
units:
missing .:
missing .*:
1
0/5,215
12/5,215
14
16
—————————————————————————————————————————————————————————–paeduc
Highest year school completed, father
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp009x, but 21 nonmissing values are not labeled
[0,20]
21
3
units:
missing .:
missing .*:
1
0/5,215
1,436/5,215
11
12
16
.d
—————————————————————————————————————————————————————————–maeduc
Highest year school completed, mother
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp010x, but 21 nonmissing values are not labeled
[0,20]
21
3
units:
missing .:
missing .*:
1
0/5,215
545/5,215
10
12
13
16
—————————————————————————————————————————————————————————–speduc
Highest year school completed, spouse
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
numeric (float)
gsp011x, but 21 nonmissing values are not labeled
[0,20]
21
units:
missing .:
1
0/5,215
unique mv codes:
examples:
3
missing .*:
3,032/5,215
13
19
.i
.i
—————————————————————————————————————————————————————————–degree
Rs highest degree
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp012x
range:
unique values:
unique mv codes:
[0,4]
5
1
tabulation:
Freq.
590
2,639
412
1,001
565
8
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
.n
1
0/5,215
8/5,215
Label
Less than high school
High school
Junior college
Bachelor
Graduate
—————————————————————————————————————————————————————————–spdeg
Spouses highest degree
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp013x
range:
unique values:
unique mv codes:
[0,4]
5
3
tabulation:
Freq.
225
1,021
168
482
301
8
3,002
8
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
.d
.i
.n
1
0/5,215
3,018/5,215
Label
Less than high school
High school
Junior college
Bachelor
Graduate
———————————————————————————————————————————————————————
———sex
Respondents sex
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp014x
range:
unique values:
[1,2]
2
tabulation:
Freq.
2,328
2,887
units:
missing .:
Numeric
1
2
1
0/5,215
Label
Male
Female
—————————————————————————————————————————————————————————–race
Race of respondent
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp015x
range:
unique values:
[1,3]
3
tabulation:
Freq.
3,793
875
547
units:
missing .:
Numeric
1
2
3
1
0/5,215
Label
White
Black
Other
—————————————————————————————————————————————————————————–reg16
Region of residence, age 16
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
examples:
numeric (float)
gsp016x
[0,9]
10
2
3
5
7
units:
missing .:
1
0/5,215
Middle Atlantic
East North Central
South Atlantic
West South Central
———————————————————————————————————————————————————————
———born
Was r born in this country
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp017x
range:
unique values:
unique mv codes:
[1,2]
2
1
tabulation:
Freq.
4,552
657
6
units:
missing .:
missing .*:
Numeric
1
2
.n
1
0/5,215
6/5,215
Label
Yes
No
—————————————————————————————————————————————————————————–parborn
Were rs parents born in this country
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp018x
range:
unique values:
unique mv codes:
[0,8]
9
1
tabulation:
Freq.
4,061
164
146
12
5
1
1
6
800
19
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
5
6
7
8
.n
1
0/5,215
19/5,215
Label
Both in u.s.
Mother only
Father only
Mother; father dk
Not mother; father dk
Father; mother dk
Not father; mother dk
Dk for both
Neither in u.s.
—————————————————————————————————————————————————————————–rincome
Respondents income
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp019x
range:
unique values:
unique mv codes:
examples:
[1,13]
13
2
11
12
13
.i
units:
missing .:
missing .*:
1
0/5,215
2,075/5,215
$20000 – 24999
$25000 or more
Refused
—————————————————————————————————————————————————————————–region
Region of interview
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp020x
range:
unique values:
[1,9]
9
tabulation:
Freq.
299
545
890
318
1,063
368
574
418
740
units:
missing .:
Numeric
1
2
3
4
5
6
7
8
9
1
0/5,215
Label
New England
Middle Atlantic
East North Central
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
—————————————————————————————————————————————————————————–partyid
Political party affiliation
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp021x
range:
unique values:
unique mv codes:
[0,7]
8
1
tabulation:
Freq.
842
848
712
887
551
636
525
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
5
6
1
0/5,215
65/5,215
Label
Strong democrat
Not strong democrat
Independent, near dem
Independent
Independent, near rep
Not strong republican
Strong republican
149
65
7
.n
Other party
—————————————————————————————————————————————————————————–vote12
Did r vote in 2012 election
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp022x
range:
unique values:
unique mv codes:
[1,3]
3
2
tabulation:
Freq.
3,297
1,365
453
81
19
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.n
1
0/5,215
100/5,215
Label
Voted
Did not vote
Ineligible
—————————————————————————————————————————————————————————–pres12
Vote obama or romney
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp023x
range:
unique values:
unique mv codes:
[1,4]
4
3
tabulation:
Freq.
2,007
1,064
62
23
44
1,899
116
units:
missing .:
missing .*:
Numeric
1
2
3
4
.d
.i
.n
1
0/5,215
2,059/5,215
Label
Obama
Romney
Other candidate (specify)
Didn’t vote for president
—————————————————————————————————————————————————————————–if12who
Who would r have voted for in 2012 election
——————————————————————————————————————————————————————————
type:
label:
numeric (float)
gsp024x
range:
unique values:
unique mv codes:
[1,3]
3
3
tabulation:
Freq.
1,032
345
264
165
3,274
135
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.i
.n
1
0/5,215
3,574/5,215
Label
Obama
Romney
Other
—————————————————————————————————————————————————————————–polviews
Think of self as liberal or conservative
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp025x
range:
unique values:
unique mv codes:
[1,7]
7
2
tabulation:
Freq.
258
628
566
1,887
665
780
219
160
52
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
6
7
.d
.n
1
0/5,215
212/5,215
Label
Extremely liberal
Liberal
Slightly liberal
Moderate
Slightly conservative
Conservative
Extremely conservative
—————————————————————————————————————————————————————————–natenvir
Improving & protecting environment
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
numeric (float)
gsp026x
[1,3]
3
3
units:
missing .:
missing .*:
1
0/5,215
2,657/5,215
tabulation:
Freq.
1,668
693
197
65
2,590
2
Numeric
1
2
3
.d
.i
.n
Label
Too little
About right
Too much
—————————————————————————————————————————————————————————–nateduc
Improving nations education system
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp027x
range:
unique values:
unique mv codes:
[1,3]
3
3
tabulation:
Freq.
1,910
532
154
28
2,590
1
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.i
.n
1
0/5,215
2,619/5,215
Label
Too little
About right
Too much
—————————————————————————————————————————————————————————–natarms
Military, armaments, and defense
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp028x
range:
unique values:
unique mv codes:
[1,3]
3
3
tabulation:
Freq.
906
956
677
82
2,590
4
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.i
.n
1
0/5,215
2,676/5,215
Label
Too little
About right
Too much
——————————————————————————————————————————————————————————
nataid
Foreign aid
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp029x
range:
unique values:
unique mv codes:
[1,3]
3
3
tabulation:
Freq.
332
846
1,256
183
2,590
8
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.i
.n
1
0/5,215
2,781/5,215
Label
Too little
About right
Too much
—————————————————————————————————————————————————————————–natchld
Assistance for childcare
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp030x
range:
unique values:
unique mv codes:
[1,3]
3
2
tabulation:
Freq.
2,901
1,728
286
294
6
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.n
1
0/5,215
300/5,215
Label
Too little
About right
Too much
—————————————————————————————————————————————————————————–natenrgy
Developing alternative energy sources
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
numeric (float)
gsp031x
[1,3]
3
2
units:
missing .:
missing .*:
1
0/5,215
238/5,215
tabulation:
Freq.
2,840
1,719
418
235
3
Numeric
1
2
3
.d
.n
Label
Too little
About right
Too much
—————————————————————————————————————————————————————————–eqwlth
Should govt reduce income differences
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp032x, but 5 nonmissing values are not labeled
range:
unique values:
unique mv codes:
[1,7]
7
3
tabulation:
Freq.
798
402
569
588
476
266
376
36
1,696
8
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
6
7
.d
.i
.n
1
0/5,215
1,740/5,215
Label
Govt reduce diff
No govt action
—————————————————————————————————————————————————————————–relig
Rs religious preference
—————————————————————————————————————————————————————————–type:
label:
range:
unique values:
unique mv codes:
examples:
numeric (float)
gsp033x
[1,13]
13
2
1
1
2
4
units:
missing .:
missing .*:
1
0/5,215
39/5,215
Protestant
Protestant
Catholic
None
———————————————————————————————————————————————————————
———attend
How often r attends religious services
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp034x
range:
unique values:
unique mv codes:
[0,8]
9
1
tabulation:
Freq.
1,439
310
685
551
336
436
214
872
339
33
units:
missing .:
missing .*:
Numeric
0
1
2
3
4
5
6
7
8
.n
1
0/5,215
33/5,215
Label
Never
Less than once a year
Once a year
Several times a year
Once a month
2-3x a month
Nearly every week
Every week
More than once week
—————————————————————————————————————————————————————————–closeblk
How close feel to blacks
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp035x, but 6 nonmissing values are not labeled
range:
unique values:
unique mv codes:
[1,9]
9
3
tabulation:
Freq.
75
39
61
65
686
136
259
140
417
2
3,326
9
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
6
7
8
9
.d
.i
.n
1
0/5,215
3,337/5,215
Label
Not at all close
Neither one or the other
Very close
——————————————————————————————————————————————————————————
closewht
How close feel to whites
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp036x, but 6 nonmissing values are not labeled
range:
unique values:
unique mv codes:
[1,9]
9
3
tabulation:
Freq.
25
15
24
47
550
120
293
235
571
3
3,326
6
units:
missing .:
missing .*:
Numeric
1
2
3
4
5
6
7
8
9
.d
.i
.n
1
0/5,215
3,335/5,215
Label
Not at all close
Neither one or the other
Very close
—————————————————————————————————————————————————————————–happy
General happiness
—————————————————————————————————————————————————————————–type:
label:
numeric (float)
gsp037x
range:
unique values:
unique mv codes:
[1,3]
3
2
tabulation:
Freq.
1,507
2,908
788
7
5
units:
missing .:
missing .*:
Numeric
1
2
3
.d
.n
1
0/5,215
12/5,215
Label
Very happy
Pretty happy
Not too happy
—————————————————————————————–