Correlational finding on Happiness and subject: Current area of residence

StudyYeh et al. (2015): study TW 2009
TitleSelf-Evaluation Affects Subjectve Well-Being: The Effects of Socioeconomic Status and Personality in Taiwan
SourceFilomena Maggino, Ed.: "Social Indicators Research Series 57, A New Research Agenda for Impovements in Quality of Life", Springer International Publishing AG Switzerland, Swiss, 2015, 109 - 134
DOIDOI: 10.1007/978-3-319-15904-1_6
PublicWorking age public, Taiwan, 2009
SampleProbability stratified sample
Non-Response
Respondents N =1311

Correlate
Author's labelResidence
Page in Source 116
Our classificationCurrent area of residence
Operationalization
0: urban (reference) 
1: rural

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLL-u-sq-v-4-iOPRC=+.09 ns
controlled for:
- personal characteristics
   - age
   - gender
   - education
   - employment status
   - marital status
   - health
   - residence 
   - religion
- absolute income
O-SLL-u-sq-v-4-iOPRC=+.15 p < .05
additionally controlled for:
- relative income
O-SLL-u-sq-v-4-iOPRC=+.20 p < .01
additionally controlled for:
- objective class position
O-SLL-u-sq-v-4-iOPRC=+.24 p < .001
additionally controlled for:
- subjective class position

Beta similar when additionally controlled for:
- personality
O-HL-c-sq-v-3-oOPRC=+.10 ns
controlled for:
- personal characteristics
- absolute income
O-HL-c-sq-v-3-oOPRC=+.13 p < .05
additionally controlled for:
- relative income
O-HL-c-sq-v-3-oOPRC=+.16 p < .05
additionally controlled for:
- objective class position
O-HL-c-sq-v-3-oOPRC=+.19 p < .01
additionally controlled for:
- subjective class position

OPRC similar when additionally controled for:
- personality


Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-3-oSelfreport on single question:

Taking all together, how would you say things are these days?
1 unhappy
2 happy
3 very happy
O-SLL-u-sq-v-4-iSelfreport on single question:

On the whole, how satisfied are you with the life you lead?
1 unsatisfied
2 slightly unsatisfied
3 slightly satisfied
4 satisfied


Appendix 2: Statistics used
SymbolExplanation
OPRCOPRC: Regression coefficient in ordered categorical probit regression.
Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being more happy.

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl