Correlational finding on Happiness and subject: Voting

StudySigelman (1981): study US 1974
TitleIs Ignorance Bliss? A Reconsideration of the Folk Wisdom.
SourceHuman Relations, 1981, Vol. 34, 965 - 974
Public18+ aged, general public, USA, 1974-76
Sample
Non-Response
Respondents N =2650

Correlate
Author's labelPolitical participation
Page in Source 971
Our classificationVoting
Operationalization
0 Did not vote in the most recent 
  presidential election 
1 Did vote

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-aaBeta=+.04 ns
 controlled for: age, gender, race, education, 
family income, marital status, church attendance 
and health condition. 
 hardly decreases when intelligence (IQ) is also 
controled.


Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-3-aaSelfreport on single question:

Taken all together, how would you say things are these days? Would you say that you are....?
3 very happy
2 pretty happy
1 not too happy


Appendix 2: Statistics used
SymbolExplanation
BetaSTANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)
Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:
beta > 0 a higher correlate level corresponds to a higher happiness rating on average.
beta < 0 a higher correlate level corresponds to a higher happiness rating on average.
beta = 0 no correlation.
beta = + 1 or -1 perfect correlation.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl