Correlational finding on Happiness and subject: House owned or rented

StudyFleming et al. (2016): study NZ 2008
TitleCrime, Greenspace and Life Satisfaction: An Evaluation of the New Zealand Experience.
SourceLandscape and Urban Planning, 2016, Vol. 149, 1 - 10
Public15+ aged, general public, New Zealand, 2008 - 2012
SampleProbability multi-stage random
Respondents N =22727

Author's labelHome-ownership
Page in Source 5,7
Our classificationHouse owned or rented
1: home-owner
0: no home-owner
Observed distribution1: 46,0%

Observed Relation with Happiness
O-SLW-c-sq-v-5-gOLRC=+.08 p < .01
OLRC controlled for:
- individual characteristics
  - experienced violent or non-violent crime
  - other demographic characteristics
  - civic life and social connectedness
- neighbourhood characteristics
  - greenspace access and quality
  - other neighbourhood characteristics

Appendix 1: Happiness measures used
CodeFull Text
O-SLW-c-sq-v-5-gSelfreport on single question:

Taken all things together, how satisfied are you with your life as a whole these days? On the whole, would you say you are.....?
5 very satisfied
4 satisfied
3 neither satisfied nor dissatisfied
2 dissatisfied
1 very dissatisfied

Appendix 2: Statistics used
OLRCOLRC: Regression coefficient in ordered categorical logistic regression.
Only the sign of the computed coefficient is informative.

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

OLRC < 0 indicates that the odds of being beyond a chosen happiness category-to- be-ing 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.

OLRC > 0 indicates an increase in the odds for both the above cases.
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.