Correlational finding on Happiness and subject: Number of relatives

StudyHo et al. (1995): study HK 1992
TitleLife Satisfaction and Associated Factors in Older Hong Kong Chinese.
SourceThe American Geriatrics Society, 1995, Vol. 43, 252 - 255
Public70+aged, Hong Kong, 1991-1992
SampleProbability stratified sample
Non-Response
Respondents N =1557

Correlate
Author's labelNumber of relatives
Page in Source 253
Our classificationNumber of relatives
Operationalization
Self report on number of relatives. Text is not 
reported.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SL?-?-sq-n-11-bOR=2.1 p < .05
CI95 [1.7-2.7]

OR controlled for:
-place of residence
-marital status
-presence of joint pain


Appendix 1: Happiness measures used
CodeFull Text
O-SL?-?-sq-n-11-bSelf report on single question:

.. Life satisfaction .. (full text not reported)
10 very satisfied
9
8
7
6
5
4
3
2
1
0 very dissatisfied


Appendix 2: Statistics used
SymbolExplanation
OROR: Odds ratio in binary logistic regression.

Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0.

OR < 1 indicates that the odds of being happy-to-being unhappy
decreases by a factor OR when

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

OR > 1 indicates an increase by a factor OR for both the above cases.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl