Correlational finding on Happiness and subject: Summed life-events: equal weight

StudyLowenthal & Boler (1965): study US 1962
TitleVoluntary vs. Involuntary Social Withdrawal.
SourceJournal of Gerontology, 1965, Vol. 20, 363 - 371
Public60+aged, San Francisco, USA, 1962
Sample
Non-Response55%, 22% refusals, 9% deaths, 22% unattainable
Respondents N =269

Correlate
Author's labelDeprivation
Page in Source 367
Our classificationSummed life-events: equal weight
Operationalization
Deprivation measured by an index of:
- compulsary retirement in past 7 yrs
- widowhood in past 7 yrs
- interviewer rating of physical disability

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-bcG=-.70 p < .01
withdrawn    : G' = -.90 (01)
not withdrawn: G' = -.51 (05)

Social withdrawal measured by report of reduced 
participation in organisation, and less contacts 
with family and friends.

G' based on proportion unhappy
O-SLL-c-sq-v-4-cG=-.70 p < .01
withdrawn    : G' = -.70 (01)
not withdrawn: G' = -.65 (01)
A-AOL-g-sq-v-3-bG=-.55 p < .01
withdrawn    : G' = -.64 (ns)
not withdrawn: G' = -.40 (ns)


Appendix 1: Happiness measures used
CodeFull Text
A-AOL-g-sq-v-3-bSelfreport on single question :

"In general, how would you say you feel most of the time, in good spirits or in low spirits....?"
1 low
2 both
3 good
O-HL-c-sq-v-3-bcSelfreport on single question:

All in all, how much happiness do you find in life today....?
1 almost none
2 some but not very much
3 a good deal
O-SLL-c-sq-v-4-cSelfreport on single question:

On the whole, how satisfied would you say you are with your way of life today? Would you say you are........?
4 very satisfied
3 fairly satisfied
2 not very satisfied
1 not at all satisfied


Appendix 2: Statistics used
SymbolExplanation
GGOODMAN & Kruskal's GAMMA
Type: test statistic
Measurement level: Correlate: ordinal, Happinessl: ordinal
Range: [-1; +1]

Meaning:
G = 0 no rank correlation
G = +1 strongest possible rank correlation, where high correlate values correspond to high happiness ratings.
G = -1 strongest possible rank correlation, where high correlate values correspond with low happiness ratings.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl