Correlational finding on Happiness and subject: Sex (male vs female)

StudyCavalcanti et al. (2009): study ZZ 2005
TitleIs Brazil the Land of Happiness? A comparative Study Using a Sample with conomics Students from UFPE and purdue.
SourceBrazilian Review of Econometrics, 2009, Vol. 29, 17 - 35
PublicUniversity students, Brazil and United States, 2005-2006
SampleNon-probability purposive sample
Respondents N =185

Author's labelGender
Page in Source 22-25
Our classificationSex (male vs female)
1 Male
0 Female
Observed distribution %Male %Female Purdue students 71 29 UFPE students 68 32

Observed Relation with Happiness
O-HL-u-sq-v-3-dOLRC=-.25 ns
OLRC controlled for:
- nationality
- age
O-HL-u-sq-v-3-dOLRC=-.41 ns
OLRC additionally controlled for:
- income
O-HL-u-sq-v-3-dOLRC=+.27 ns
OLRC additionally controlled for:
- employment status

When not controlled for nationality:
USA:    OLRC= -1.031 (p<.05)
Brazil: OLRC= +0.23  (ns)

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

Are you happy?
1 I am not happy
2 I am pretty happy
3 I am very happy

Appendix 2: Statistics used
OLRCOLRC: Regression coefficient in ordered categorical logistic regression.
Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being happier.

OLRC < 0 indicates that the odds of being beyond a chosen happiness category-to- be-ing at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates an increase in the odds for both the above cases.
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.