Correlational finding on Happiness and Vs divorced
Subject code: M02ab02a

StudyVeenhoven (1983): study IT 1975
TitleThe Growing Impact of Marriage.
SourceSocial Indicators Research, 1983, Vol. 12, 49 - 63
URLhttp://hdl.handle.net/1765/16128
DOIDOI:10.1007/BF00428860
Public16+ aged, general public, Italy, 1975
SampleProbability multi-stage cluster sample
Non-Response
Respondents N =1022

Correlate
Author's labelMarital status
Page in Source 57
Our classificationVs divorced, code M02ab02a
Operationalization
a: married
b: living as married
c: never married
d: separated divorced
e: widowed

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-abDM=
a: M = 3.10 CI95 [2.87 - 3.32]
b: M = 0.00 CI95 [0.00 - 0.00]
c: M = 3.16 CI95 [2.82 - 3.50]
d: M = 1.00 CI95 [-0.51 - +2.51]
e: M = 2.32 CI95 [1.56 - 3.08]
O-HL-c-sq-v-3-abBMCT= p < .05
c > a > e > d > b


Appendix 1: Happiness measures used
CodeFull Text
O-HL-c-sq-v-3-abSelfreport on single question:

Taking all things together, how would you say things are these days? Would you say you are...?
3 very happy
2 fairly happy
1 not too happy


Appendix 2: Statistics used
SymbolExplanation
BMCTBONFERRONI's MULTIPLE COMPARISON TEST
Type: statistical procedure

Measurement level: Correlate: nominal, Happiness: metric

Meaning: if the correlate is measured at c levels, the c mean happiness values can be ranked from low to high. A multiple comparison procedure judges for each of the c(c-1) pairs whether or not they differ significantly. A convenient way to represent the results is by ranking the c means and by underlining them in such a way that means which have a common underlining do NOT differ significantly.

When added by us, this test is performed at the 95% confidence level for all the differences together.
DMDIFFERENCE of MEANS
Type: descriptive statistic only.
Measurement level: Correlate: dichotomous, Happiness: metric
Range: depending on the happiness rating scale of the author; range symmetric about zero.

Meaning: the difference of the mean happiness, as measured on the author's rating scale, between the two correlate levels.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl