Correlational finding on Happiness and subject: Feeling down (vs not)

StudyWu et al. (2014): study TW 2009
TitleOn the Predictive Effect of Multidimensional Importance-Weighted Quality of Life Scores on Overall Subjective Well-Being.
SourceSocial Indicators Research, 2014, 115, 933 - 943
URLhttp://link.springer.com/article/10.1007%2Fs11205-013-0242-x
DOIDOI: 10.1007/s11205-013-0242-x
PublicStudents, Taiwan, 200?
SampleNon-probability chunk sample
Non-Response
Respondents N =146

Correlate
Author's labelNegative feeling
Page in Source 937.939
Our classificationFeeling down (vs not)
Operationalization
Selfreport on single question: 
How often do you have negative feelings such as blue 
mood, 
despair, anxiey, depression?
1 Always
2 Very often
3 Quite often 
4 Seldom
5 Never
Observed distributionMean: 3.52: SD=.84
Remarks
Full questions not reported in this paper. 
Question on negative feeling taken from WHOQOL-Bref. 
Question on importance figured in the full  WHOQOL 
questionnaire.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-QOL-c-sq-v-5-br=+.44 p < .1
raw score
O-QOL-c-sq-v-5-br=+.24 p < .01
score weighted by perceived importance


Appendix 1: Happiness measures used
CodeFull Text
O-QOL-c-sq-v-5-bSelfreport on single question:

How do you feel about your life just now?
5 excellent
4 good
3 neither good nor bad
2 bad
1 very bad


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