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Correlational findings

Study Fahey & Smyth (2004a): study ZZ Europe 1999

Public
18+ aged, general public, 33 European nations, 1999-2000
Sample
Respondents
N = 39799
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Marital status
Our Classification
Operationalization
1. Married
0. Unmarried
   (never married, divorced, widowed)

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-10-a b = +.57 p < .05 Married compared to WIDOWED.
In all nations. O-SLW-c-sq-n-10-a b = +.44 p < .05 In poorest nations in lowest GDP-quartile. O-SLW-c-sq-n-10-a b = +.63 p < .05 In medium poor nations. O-SLW-c-sq-n-10-a b = -.43 p < .05 In medium rich nations. O-SLW-c-sq-n-10-a b = +.46 p < .05 In the richest nations in highest GDP-quartile. O-SLW-c-sq-n-10-a b = +.55 p < .05 Married compared to DIVORCED.
In all nations. O-SLW-c-sq-n-10-a b = +.37 p < .05 Married compared to SINGLE.
In all nations. O-SLW-c-sq-n-10-a b = -.10 p < .05 In poorest nations in lowest GDP-quartile. O-SLW-c-sq-n-10-a b = +.31 p < .05 In medium poor nations. O-SLW-c-sq-n-10-a b = +.48 p < .05 In medium rich nations. O-SLW-c-sq-n-10-a b = +.65 p < .05 In richest nations in highest GDP-quartile.

B's controlled for:
-at individual level:
-gender
-employment status
-age
-age squared
-social class
-individual income.
-at country level:
-average national GDP per capita
-income inequality
-national growth in GDP.