Correlational finding on Happiness and Chronic illness
Subject code: H14ab02d

StudyAllardt (1973): study FI 1972
TitleAbout Dimensions of Welfare: An Explanatory Analysis of a Comperative Scandinavian Survey.
SourceResearch Reports, Nr.1, Research Group for Comparative Sociology, University of Helsinki, 1973, Finland
Public15-64 aged, general public, Finland, 1972
SampleProbability multistage stratified area sample
Respondents N =1000

Author's labelChronic illness
Our classificationChronic illness, code H14ab02d
9-point scale ranging from "heart and circularity 
diseases" to "no chronic illness or impairment"

Observed Relation with Happiness
Controlled for:Income, housing density, education, 
social status, anxiety, frequency of meetings with 
relatives, number of friends, opportunities to 
make personal contacts, possibilities to decide on 
matters concerning one's own personal life, number 
of memberships in clubs and associations, 
interesting life, easyness of life, loneliness, 
feelings of being liked, feeling of being able to 
use knowledge and skills, feeling of chance to 
succeed, gets sufficient attention, satisfaction 
with income, age, gender, no. of communities in 
which lived.

Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-4-aSelfreport on single question:

Do you feel your life at present is.....?
4 very happy
3 quite happy
2 quite unhappy
1 very unhappy

Appendix 2: Statistics used
Type: test statistic
Measurement level: Correlate: metric, Happiness: metric
Range: [-1; +1]

Meaning: a partial correlation between happiness and one of the correlates is that correlation, which remains after accounting for the contribution of the other influences, or some of them, to the total variability in the happiness scores.
Under that conditions
rpc > 0 a higher correlate level corresponds with a higher happiness rating,
rpc < 0 a higher correlate level corresponds with a lower happiness rating,
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.