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Correlational findings

Study Blaauw & Pretorius (2013): study ZA 2008

Public:
20+ aged general public, South Africa, 2008
Survey name:
US-National Income Dynamics Study (NIDS) 2008
Sample:
Respondents:
N = 13792
Non Response:
Assessment:
Interview: face-to-face

Correlate

Authors's label
Regional Income per capita
Our Classification
Distribution
a:M=6,46 SD=1,15 1=12,20% 2=6,55% 3=19,77% 4=25,90% 5=8,87% 6=7,22% 7=6,47% 8=8,85% 9=13,16%
Operationalization
Logarithmic household per capita income
a: Eastern Cape
b: Free State
c: Gauteng
d: KwaZulu-Natal
e: Limpopo
f: Mpumalanga
g: Northern Cape
h: North West
i: Western Cape

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-10-n b = +,31 p < .000 All regions O-SLW-c-sq-n-10-n b = +,47 p < .000 Eastern Cape (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,91 p < .000 Free State (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,69 p < .000 Gauteng (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,46 p < .000 Limpopo (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +1,2 p < .000 Mpumalanga (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,95 p < .000 Northern Cape (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,63 p < .000 North West (vs KwaZulu-Natal) O-SLW-c-sq-n-10-n b = +,86 p < .000 Western Cape (vs KwaZulu-Natal)

All b's controlled for:
- Personal characteristics:
  - Ethnicity
  - Gender
  - Marital status
  - Having children
  - Education
  - Religion important
- Regional characteristics:
  - Urban-rural