Correlational finding on Happiness and Number of children
Subject code: C03ab01

StudyEkici & Koydemir (2014a): study TR 1999
TitleSocial Capitel, Government and Democracy Satisfaction, and Happiness in Turkey: A Comparison of Surveys in 1999 and 2008.
SourceSocial Indicators Research, 2014, Vol. 118, 1031 - 1053
DOIdoi: 10,1007/s11205-013-0464-y
Public15+ aged, general public, Turkey, 1999
SampleProbability multistage stratified area sample
Non-Response
Respondents N =1205

Correlate
Author's labelNumber of children
Our classificationNumber of children, code C03ab01
Operationalization
Number of children
Observed distributionM = 1.64, SD = 1.74

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-10-aOLRC=- p < .01
One additional child changes the probability of 
being:
- very satisfied          -2% (.01)
- somewhat satisfied      -2% (.01)
- medium satisfied        -0% 
- somewhat dissatisfied   +1% (.01)
- very dissatisfied       +3% (.01)
O-HL-c-sq-v-4-gOLRC=- p < .05
- very happy              - 1% (.05)
- quite happy             - 1% (.05)
- not very happy          + 1% (.05)
- not at all happy        + 1% (.05)

OLRCs adjusted for:
- income
- employment
- age
- gender
- religiosity
- marital status


Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-4-gSelreport on single question:

In general, how do you feel about your life at present? I feel...
4 very happy
3 quite happy
2 not very happy
1 not happy at all
O-SLW-c-sq-n-10-aSelfreport on single question:

All things considered, how satisfied are you with your life as-a-whole these days?
1 dissatisfied
2
3
4
5
6
7
8
9
10 satisfied


Appendix 2: Statistics used
SymbolExplanation
OLRCORDERED LOGIT REGRESSION COEFFICIENT
Statistic: Ordered logit regression coefficient
Measurement level: Correlate: metric, Happiness: ordered responses
Theoretical range: unlimited

OLRC > 0 A one unit increase in the independent variable corresponds to a higher probability of responding in the highest category of the dependent variable and to a lower probability of responding in the lowest category of the dependent variable.

OLRC< 0 A one unit increase in the independent variable corresponds to a lower probability of responding in the highest category of the dependent variable and to a higher probability of responding in the lowest category of the dependent variable.

OLRC = 0 No relationship between the independent and dependent variable..

Remarks:
The interpretation for the intermediate categories of the dependent variable are ambiguous. It is advised to use marginal effects.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl