Correlational finding on Happiness and subject: Information seeking

StudyInoguchi & Fujii (2013): study MN 2003
TitleThe Quality of Life in Asia. A Comparison of Quality of Life in Asia
SourceSpringer, 2013, Dordrecht, Netherlands
URLhttps://books.google.nl/books?hl=nl&lr=&id=Hy69XDD2zooC&oi=fnd&pg=PR5&dq=inoguchi+%2B+The+Quality+of+Life+in+Asia&ots=rtiFUZCZPJ&sig=gD8EwuaC44rBzLvEB0TnThKoJOk#v=onepage&q=inoguchi%20%2B%20The%20Quality%20of%20Life%20in%20Asia&f=false
DOIdoi:10.1007/978-90-481-9072-0
PublicWorking aged (20-69), Mongolia, 2003-2008
SampleProbability multistage stratified area sample
Non-Response
Respondents N =536

Correlate
Author's labelInternet
Page in Source 102-103,111-112
Our classificationInformation seeking
Operationalization
Seldreport on single question: "How often do you view 
Internet web pages by computer?"
5 almost every day
4 several times a week
3 several times a month
2 seldom
1 never

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-5-mbOLRC=+.47 p < .01
All
O-HL-c-sq-v-5-mbOLRC=+.51 p < .05
Marrieds only

OLRC's controlled for:
- INDIVIDUAL characteristics:
  - Satisfaction with other life domains
  - Access to public services:
    - water supply
    - electricity
    - piped gas
  - lifestyle characteristics:
    - religion
    - living internationally
    - English ability
    - homeownership
    - number of family members
    - relative standard of living
    - no right to vote
  - Socioeconomic status:
    - gender
    - marital status
    - age
    - income
    - educational attainment


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

All things considered, would you say you are happy these days?
5 very happy
4 quite happy
3 neither happy nor unhappy
2 not too happy
1 very unhappy


Appendix 2: Statistics used
SymbolExplanation
OLRCREGRESSION coefficient in ORDERED categorical LOGISTIC analysis.

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.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl