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Correlational findings

Study Deaton & Arora (2009): study US 2008

Public:
18+ aged, general public, USA, 2008
Sample:
Respondents:
N = 454065
Non Response:
Assessment:
Interview: telephone (CATI)

Correlate

Authors's label
height
Our Classification
Operationalization
1 above average height
0 below average height

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks A-AB-yd-mq-v-2-e D% = + MEN
1:above     M = 64,13
0:below     M = 62,25
- difference    +1,88
A-AB-yd-mq-v-2-e D% = + WOMEN
1:above     M = 58,79
0:below     M = 57,73
- difference    +1,06

Affect Balance computed by WDH team from table 1.
C-BW-c-sq-l-11-c DM = + MEN   
1:above     M = 6,55
0:below     M = 6,41
- difference   +0,14
C-BW-c-sq-l-11-c DM = + WOMEN
1:above     M = 6,64
0:below     M = 6,55
- difference   +0,09
C-BW-c-sq-l-11-c b = +.02 B(+.0215) controled for gender C-BW-c-sq-l-11-c b = +.02 B(+.0252) additionally controled for sociodemographics:
- race and ethnicity
- age
- marital status.
C-BW-c-sq-l-11-c b = +.01 B(+.0058) additionally controled for aducation and income. C-BW-c-sq-l-11-c b = +.53 B(+.5347) controled for all the above variables and log income.
B(+.54) for women (N=164878)
B(+.60) for   men (N=178440)

Each additonal inch of height has the same effect on reported life evaluation as a 3.8% increase in family income for women and 4.4% increase for men.