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
RČCOEFFICIENT 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