Correlational finding on Happiness and Age difference among young people
Subject code: A04ab02

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 labelAge
Page in Source 192
Our classificationAge difference among young people, code A04ab02
Operationalization
Age in years
Observed distributionRange: 10-18
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=+6.6 p < .0001
Happiness decreases though the teenage years; it 
reaches its lowest point by age 16, and then shows 
a small recovery by age 18


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
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl