Correlational findings | World Database of Happiness

Study Schulz et al. (1985): study AT 1984

Public: 16+ aged, general public, Austria, 1984
Survey name: Unnamed study
Sample
Respondents: N = 1776
Non Response
Assessment: Interview: face-to-face
Highly structured

Correlate

Authors's Label

Satisfaction with work (-negative-)

Our Classification

Related specification variables

Operationalization

Two item index of direct negative questions on satisfaction with work during the last 14 days.

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

M-AO-c-mq-v-5-a

r = +.25 p < .05

PRODUCT-MOMENT CORRELATION COEFFICIENT (Also "Pearson's correlation coefficient' or simply 'correlation coefficient')

Type: test statistic.
Measurement level: Correlate: metric, Happiness: metric
Range: [-1; +1]

Meaning:
r = 0  « no correlation ,
r = 1  « perfect correlation, where high correlate values correspond with high happiness values, and
r = -1  « perfect correlation, where high correlate values correspond with low happiness values.

All

M-AO-c-mq-*-*-a

r = +.28 p < .05

PRODUCT-MOMENT CORRELATION COEFFICIENT (Also "Pearson's correlation coefficient' or simply 'correlation coefficient')

M-AO-c-mq-v-5-a

Beta = +.07 p < .05

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:
beta > 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta < 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta = 0  «   no correlation.
beta = + 1 or -1  «   perfect correlation.

M-AO-c-mq-*-*-a

Beta = +.12 p < .05

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

ß controlled for: satisfaction with physical health, material satisfaction, satisfaction with partner, satisfaction with selfrealisatiuon, satisfaction with social involvement, satisfaction with work (positive), and satisfaction with leisure time.

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- Age < 25

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- Age 26-40

M-AO-c-mq-v-5-a

Beta = +.16

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- Age 41-59

M-AO-c-mq-v-5-a

Beta = ns

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- Age > 60

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- < 6.000 income in Austrian shill./month

M-AO-c-mq-v-5-a

Beta = +.14

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- 6.000-10.000

M-AO-c-mq-v-5-a

Beta = +.17

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- 10.000-16.000

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- > 16.000

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- monotonous work

M-AO-c-mq-v-5-a

Beta = +.12

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- some selfcontrol

M-AO-c-mq-v-5-a

Beta = *

STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)

- much selfcontrol

All ß's controlled for satisfaction with six other domains of life (physical health, income, partner, selfrealization, social involvement, leisure).
*=N too small.