Correlational findings | World Database of Happiness

Study Proto & Rustichini (2015): study GB 1996

Public:: 16+ aged general public, United Kingdom, 1996-2008
Survey name:: UK-BHPS 1996-2008
Sample:
Respondents:: N = 117041
Non Response:
Assessment:: Interview: face-to-face

Correlate

Authors's Label

Big five personality

Our Classification

Operationalization

a) Neuroticism
b) Extraversion
c) Conscientiousness
d) Openness
e) Agreableness

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

O-SLW-u-sq-n-7-e

OPRC = -2.1 p < .01

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

Only the sign of the computed coefficient is informative.

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

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

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

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being 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.

a) Neuroticism

O-SLW-u-sq-n-7-e

OPRC = +.63 p < .01

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

b) Extraversion

O-SLW-u-sq-n-7-e

OPRC = +.74 p < .01

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

c) Conscientiousness

O-SLW-u-sq-n-7-e

OPRC = +.09 ns

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

d) Openness

O-SLW-u-sq-n-7-e

OPRC = +.44 p < .05

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

e) Agreeableness

OPRC's coefficients controlled for:
- Age, age squared
- Gender
- Number of children
- Education
- Employment type
- Occupation type