Correlational finding on Happiness and Sex (male vs female)
Subject code: G01aa

StudyCsikszentmihalyi & Hunter (2003): study US 1998
TitleHappiness in Everyday Life: the Uses of Experience Sampling.
SourceJournal of Happiness Studies, 2003, Vol. 4, 185 - 199
DOIDOI:10.1023/A:1024409732742
PublicTeenagers, USA, 199?
SampleNon-probability purposive sample
Non-Response
Respondents N =828

Correlate
Author's labelGender
Page in Source 192
Our classificationSex (male vs female), code G01aa
Operationalization
0: girls
1: boys
Remarks
Participants were beeped at random moments eight times 
a day from 7:30 am to 10:30 pm for one week. At each 
beep they answered questions about:
a: what activity they where doing on the moment
b: whom they were with 
c: how they felt at that moment (various feelings, one 
of which happiness)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
A-ARE-mi-sqr-n-7-aF= ns
A-ARE-mi-sqr-n-7-at.=-2.5 p < .014
Interaction effect: poor girls experience more 
happiness than poor boys


Appendix 1: Happiness measures used
CodeFull Text
A-ARE-mi-sqr-n-7-aSelfreport on single question repeated several times a day.

" .. mood .."
Full lead question not reported
7 happy
6
5
4
3
2
1 sad


Appendix 2: Statistics used
SymbolExplanation
FF-STATISTIC
Type: asymmetric standard test statistic.
Range: nonnegative unlimited

Meaning : the test statistic is also called the "Variance Ratio" and is the ratio of two independent estimators of the same variance with n1 and n2 degrees of freedom respectively. The critical values of its probability distribution are tabulated extensively in almost any textbook on Statistics
t.t-STATISTIC (Student's t-statistic)
Type: symmetric standard test statistic.
One parameter: n (= number of degrees of freedom (df) ; range df: [1; + infinite)
Range for t: unlimited

Meaning : the test statistic is the ratio of a difference between a statistic and its expected value under the null hypothesis and its (estimated) standard error with n degrees of freedom.
The critical values of its probability distribution are tabulated extensively in almost any textbook on Statistics.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl