Correlational finding on Happiness and subject: Earlier residential mobility

StudyZhang (2012a): study JP 2010
TitleHouseholds' Multidimensional Mobilities Over Life Course and QOL: A case Study in Japan
SourcePaper presented at ISQOLS conference 2012, Track 43 "Multidimensional and Longitudinal Analyses of Well-Being and Qualityof Life"
Public18+ aged, general public, major cities, Japan, 2010
SampleProbability stratified sample
Non-Response5.7%
Respondents N =943

Correlate
Author's labelResidential mobility
Page in Source 9, 11,15
Our classificationEarlier residential mobility
Operationalization
Selfreport on single question:
How many times did you change your residential location 
which continued at lease one year? (Full question was 
not reported, assumed)
1: zero
2: once
3: twice
4: three times
5: >= four times
Observed distributionM = 2.3, 1: 14%; 2: 18%; 3: 23%; 4: 15%; 5: 30% Average duration: 7.7 years

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-FH-c-sq-n-11-dOPRC=+.05 ns
O-SLW-u-sq-v-5-rOPRC=+.01 ns
OPRCís controlled for:
-Times change in
 -Household structure mobility
 -Employment mobility 
 -Car ownership mobility 
-Residential environment
-Objective living standard
 -House property
 -Household annual income
 -Car number
-Household attributes
 -Household size
 -Single/Couple
 -Number of children
 -Number of elders
 -Worker


Appendix 1: Happiness measures used
CodeFull Text
M-FH-c-sq-n-11-dSelfreport on single question

Currently, how happy are you feeling?
10 very happy
9
8
7
6
5
4
3
2
1
0 very unhappy
O-SLW-u-sq-v-5-rSelf report on single question:

How satisfied are you with your life as a whole?
1 very dissatisfied
2 dissatisfied
3 neither satisfied nor dissatisfied
4 satisfied
5 very satisfied


Appendix 2: Statistics used
SymbolExplanation
OPRCOPRC: Regression coefficient in ordered categorical probit regression.
Only the sign of the computed coefficient is informative.

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

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

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

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being 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.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl