Correlational findings | World Database of Happiness

Study Selim (2008): study TR 1990

Public:: 18+ aged, general public, Turkey, 1990-2001
Sample:
Respondents:: N = 6338
Non Response:: not reported
Assessment:: Interview: face-to-face

Correlate

Authors's label

Employement status

Our Classification

Operationalization

1 self employed
0 not self employed
  a self employed (reference)
  b full time
  c part time
  d retired
  e housewife
  f students
  g unemployed
  h other

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

O-SLW-c-sq-n-10-a

OLRC = -.08 ns

OLRC: 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.

full time (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = -.28 p < .05

OLRC: Regression coefficient in ordered categorical logistic regression.

part time (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = +.14 ns

OLRC: Regression coefficient in ordered categorical logistic regression.

retired (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = +.30 p < .01

OLRC: Regression coefficient in ordered categorical logistic regression.

housewife (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = +.20 p < .10

OLRC: Regression coefficient in ordered categorical logistic regression.

students (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = -.41 p < .01

OLRC: Regression coefficient in ordered categorical logistic regression.

unemployed (vs. self employed)

O-SLW-c-sq-n-10-a

OLRC = +.21 ns

OLRC: Regression coefficient in ordered categorical logistic regression.

other (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = +.05 ns

OLRC: Regression coefficient in ordered categorical logistic regression.

full time (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = -.36 p < .01

OLRC: Regression coefficient in ordered categorical logistic regression.

part time (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = +.17 ns

OLRC: Regression coefficient in ordered categorical logistic regression.

retired (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = +.39 p < .01

OLRC: Regression coefficient in ordered categorical logistic regression.

housewife (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = +.26 p < .05

OLRC: Regression coefficient in ordered categorical logistic regression.

students (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = -.13 ns

OLRC: Regression coefficient in ordered categorical logistic regression.

unemployed (vs. self employed)

O-HL-u-sq-v-4-a

OLRC = +.43 p < .05

OLRC: Regression coefficient in ordered categorical logistic regression.

other (vs. self employed)

OLRC's are controled for:
- year dummies
- gender
- age
- marital status
- number of childeren
- education level
- income scales
- health status
- importance of life domains
- political orientations and trust

OLRC's cannot be interpreted as absolute effect sizes. Coefficients denote relative differences, e.g. greater difference in happiness between self employed and unemployed. Comparison is only possible across associations with the same happiness measure.