Correlational finding on Happiness and Days ill
Subject code: H14ab04

StudyHowell et al. (2006): study MY 2003
TitleDoes Wealth Enhance Life Satisfaction for People Who Are Materially Deprived? Exploring the Association among the 'Orang Asli' of Peninsular Malaysia.
SourceSocial Indicators Research, 2006, Vol. 76, 499 - 524
DOIDOI:10.1007/s11205-005-3107-0
PublicHeads of households, Malaysia, 2003
SampleProbability systematic sample
Non-Response4,6%
Respondents N =307

Correlate
Author's labelRecent household illness
Page in Source 510,511
Our classificationDays ill, code H14ab04
Operationalization
The number of days the respondent or household member 
could not work in the previous month due to an illness 
in the household.
Observed distributionM=1,67 days SD=5,27 days (??)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-Sum-u-mq-n-7-br=-.17 p < .01


Appendix 1: Happiness measures used
CodeFull Text
O-Sum-u-mq-n-7-bSelfreport on five questions:

A I am very content with my life
B Nothing is currently lacking in my life
C When I examine my life as a whole, I feel I am not meeting my aspirations*
D I feel dissatisfied because I'm not doing everything that I want to be doing in my life*

Rating:
1 strongly disagree
.
.
7 strongly agree
* reversed keyed item

Name: Contentment with life assesment Scale (CLASS)


Appendix 2: Statistics used
SymbolExplanation
rPRODUCT-MOMENT CORRELATION COEFFICIENT (Also "Pearson's correlation coefficient' or simply 'correlation coefficient')
Type: test statistic.
Measurement level: Correlate: metric, Happiness: metric
Range: [-1; +1]

Meaning:
r = 0 no correlation ,
r = 1 perfect correlation, where high correlate values correspond with high happiness values, and
r = -1 perfect correlation, where high correlate values correspond with low happiness values.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl