Correlational finding on Happiness and subject: Telephone

StudyInoguchi & Fujii (2013): study PH 2003
TitleThe Quality of Life in Asia. A Comparison of Quality of Life in Asia
SourceSpringer, 2013, Dordrecht, Netherlands
PublicWorking aged (20-69), Philippines, 2003-2008
SampleProbability multistage stratified area sample
Respondents N =797

Author's labelMobile phone
Page in Source 103,111-112
Our classificationTelephone
Seldreport on single question: " How often do you read 
or write messages by mobile phone?"

5 almost every day
4 several times a week
3 several times a month
2 seldom
1 never

Observed Relation with Happiness
O-HL-c-sq-v-5-mbOLRC=-.09 ns
O-HL-c-sq-v-5-mbOLRC=-.11 ns
Marrieds only
M-FH-c-sq-v-4-bOLRC=-.02 ns
M-FH-c-sq-v-4-bOLRC=-.07 ns
Marrieds only

OLRC's controlled for:
- INDIVIDUAL characteristics:
  - Satisfaction with life domains
  - Access to public services:
    - number of utilities
    - praying
    - religion
    - internet
    - email
  - Lifestyle characteristics:
    - frequency of praying
    - 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
- GEOGRAPHIC characteristics:
  - region
  - city size
  - county

Appendix 1: Happiness measures used
CodeFull Text
M-FH-c-sq-v-4-bSelfreport on single question:

How often do you feel that you are really enjoying life these days?
4 often
3 sometimes
2 rarely
1 never
- don't know
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
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.