Correlational finding on Happiness and subject: Entrepreneur

StudyBericat (2016): study ZZ Europe 2006 /1
TitleThe Subjective Well-Being of Working Women in Europe.
SourceConnerly, M.L. and Wu, J.;Ed.:"Handbook on Well-Being of Working Women", International Handbook of Quality-of-Life, Springer Science+Business Media Dordrecht, 2016, Netherlands, 633 - 650
DOIdoi: 10.1007/978-94-017-9897-6_35
Public15-65 aged general public, 25 European nations, 2006
SampleProbability multistage stratified area sample
Non-Response
Respondents N =43000

Correlate
Author's labelEmployee and employer
Page in Source 646
Our classificationEntrepreneur
Operationalization
a) employee
b) self-employed
c) employer

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-TH-cw-mq-v-4-aDMr=+
ALL
-Employee          DMr = + 5,3
-Self-employed     DMr = - 1,4
-Employer          DMr = + 0,8
M-TH-cw-mq-v-4-aDMr=
MALES
-Employee          DMr = + 4,5
-Self-employed     DMr = - 3,9
-Employer          DMr = + 4,9
M-TH-cw-mq-v-4-aDMr=
FEMALES
Employee          DMr = + 6,2
Self-employed     DMr = + 2,9
Employer          DMr = + 1,9

DMr denotes difference from population mean


Appendix 1: Happiness measures used
CodeFull Text
M-TH-cw-mq-v-4-aSelfreport on two questions:

Please tell me how often you have felt this way during the past week...?
A: I was happy
B: I enjoyed life

1 rarely or none of the time (less than one day)
2 some or a little of the time
3 occasionally or a moderate amount of time
4 most or all of the time (5-7 days)

Items in CES-D (Center for Epidemiologic Studies of Depression) Scale

Summation: A+B


Appendix 2: Statistics used
SymbolExplanation
DMrDIFFERENCE IN MEAN RIDITS
Type: test statistic
Measurement level: Happiness ordinal
Range: [0; +1]

Meaning:
Mr < .50: average happiness in this subgroup lower than in the larger population
Mr = .50: average happiness in this subgroup the same as in the larger population
Mr > .50: average happiness in this subgroup higher than in the larger population

'Ridit analysis' compares the distribution of happiness scores in subgroups to its distribution in the entire sample ("Relative to an Identified Distribution")

Testing for significance can be performed through a "BROSS Confidence Interval" (BCI). If all values the BCI for a subgroup are above/below 0.500, the subgroup is significantly more/less happy than the larger population.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl