Correlational findings | World Database of Happiness

Study Palisi (1986): study US 1977

Public: Males, metropolitan areas: London, Los Angeles and Sydney, 1977-80
Sample
Respondents: N = 752
Non Response: 67%
Assessment: Questionnaire: Paper & Pencil Interview (PAPI)
Mailed questionnaire

Correlate

Authors's Label

Visiting friends

Our Classification

Related specification variables

Operationalization

Single direct question on how frequently (daily to never) respondents visit with friends in either's home.

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

M-FH-cm-sq-v-4-a

r = +.08 ns

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.

London

A-BB-cm-mq-v-2-a

r = +.08 ns

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

London

M-FH-cm-sq-v-4-a

rpc = +.13 p < .05

PARTIAL CORRELATION COEFFICIENT

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

Meaning:  a partial correlation between happiness and one of the correlates is that correlation, which remains after accounting for the contribution of the other influences, or some of them, to the total variability in the happiness scores.
Under that conditions
rpc > 0  « a higher correlate level corresponds with  a higher  happiness rating,
rpc < 0  «  a higher correlate level corresponds with  a lower  happiness rating,

A-BB-cm-mq-v-2-a

rpc = +.12 ns