Correlational finding on Happiness and subject: Sex (male vs female)

StudyNeuberger & Allerbeck (1978): study XZ Germany West 1970
TitleMessung und Analyse von Arbeitszufriedenkeit. (Measurement and Analysis of Satisfaction with Work).
SourceHans Huber Verlag, 1978, Bern, Switzerland
PublicEmployees, industry or service sector, Austria and West germany, 1970
Sample
Non-Response
Respondents N =5592

Correlate
Author's labelMale sex
Page in Source 99
Our classificationSex (male vs female)
Operationalization
0 Females 
1 Males

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-AO-c-sq-f-7-aE=-.07 p < .01
Male            M=4.91  Mt=6.52
Female          M=5.11  Mt=6.85


Appendix 1: Happiness measures used
CodeFull Text
M-AO-c-sq-f-7-aSelfreport on single question:

When you're not only thinking of your job, but of your total present situation (house, prices, health, love, politics, neighbors, etc.), how satisfied are you with your life as-a-whole? Please mark the appropriate face below.

Rated on pictorial scale, consisting of seven smilies, expressing variations from very dissatisfied (a) to very satisfied (g) ( Kunin's 'Faces scale') Pictures not reproduced here).
1 unhappy face
.
.
4 neutral face
.
.
7 happy face

Item in the "Arbeitsbeschreibungsbogen" (job-description questionnaire).


Appendix 2: Statistics used
SymbolExplanation
ECORRELATION RATIO (Elsewhere sometimes called h or ETA)
Type: test statistic
Measurement level: Correlate: nominal or ordinal, Happiness: metric
Range: [0; 1]

Meaning: correlate is accountable for E x 100 % of the variation in happiness.
E = 0 knowledge of the correlate value does not improve the prediction quality of the happiness rating.
E = 1 knowledge of the correlate value enables an exact prediction of the happiness rating
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl