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Studies

Nikolaev (2018): study AU 2001

Publication

Author(s):
Nikolaev, B.
Title:
Does Higher Education Increase Hedonic and Eudaimonic Happiness?
Source:
Journal of Happiness Studies, 2018, Vol. 19, 483 - 504

Investigation

Public:
Working aged (22-65), Australia, followed 12 years, 2001-2013
Survey name:
AU-HILDA combined waves
Sample:
Probability multi-stage random
Respondents:
N = 126265
Non Response:
Assessment:
Interview: face-to-face

Happiness Measure(s) and Distributional Findings

Full text:
Selfreport on single question:

All things considered, how satisfied are you with your life?
Again, pick a number between 0 and 10 to indicate how satisfied you are.
0  totally dissatisfied
1
2
3
4
5
6
7
8
9
10 totally satisfied
Classification:
O-SLW-u-sq-n-11-d
Author's label:
Life satisfaction
Page in publication:
489-490
Observed distribution
Frequencies
1: 0%,   2: 0%,   3: 0%,   4: 0%,   5: 0%,   6: 0%,   7: 0%,   8: 0%,   9: 0%,   10: 0%,   11: 0%
Summary Statistics
On original range 0 - 10 On range 0-10
Mean:
7.91 7.91
SD:
1.49 1.49
Full text:
Selfreport on 7 questions:

How much of the time during the past 4 weeks
A  Have you been a nervous person
B  Have you felt so down in the dumps that nothing could cheer you up?
C  Have you felt calm and peaceful?
D  Have you felt down?
E  Did you feel worn out?
F  Have you been a happy person?
G  Did you feel tired?
Reponse options:
6  all of the time
5  most of the time
4  a good bit of the time
3  some of the time
2  a little of the time
1  none of the time

Computation (C+F)/2 - (A+B+D+E+G)/5:
Classification:
A-AB-cm-mq-v-6-g
Author's label:
Positive and negative affect
Remarks:
ABS computed by WDH-team from PA 4,21 minus NA 2,32
Page in publication:
490-1
Observed distribution
Frequencies
1: 0%,   2: 0%,   3: 0%,   4: 0%,   5: 0%,   6: 0%
Summary Statistics
On original range 0 - 0 On range 0-10
Mean:
1.89

Correlational Findings

Author's label Subject Description Finding Education Years schooling Age Current age (in years) Gender Sex (male vs female) Single Married vs never married Widowed Married vs widowed Divorced Married vs divorced Separated Married vs separated Employed Current employment status Labor income (log) Personal income Summed efffects Socio-demographic factors only Education level Level of school-education