Correlational finding on Happiness and subject: Socio-demographic + health + personality

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 labelnot named
Page in Source 971
Our classificationSocio-demographic + health + personality
Operationalization
a: background variables
  - age 
  - gender
  - race 
  - education 
  - family income 
  - marital status 
  - church attendance 
  - political participation 
  - health condition
b:IQ

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-aaRaČ=.15 p < .01
O-HL-c-sq-v-3-aaRČ=.16 p < .01
RČ does not increase significantly when 
intelligence (IQ) is added.


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
RaČADJUSTED COEFFICIENT OF MULTIPLE CORRELATION
Type: descriptive statistic only
Measurement level: Correlates: all metric, Happiness: metric
Range: [0 ; 1]

Meaning:
Ra = 0 « not any association
Ra = 1 « strongest possible association
COEFFICIENT of DETERMINATION
Type: test statistic
Measurement level: Correlates: all metric, Happiness: metric
Range: [0; 1]

Meaning:
RČ = 0 « no influence of any correlate in this study has been established.
RČ = 1 « the correlates determine the happiness completely.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl