Correlational findings | World Database of Happiness

Study Noelle-Neumann (1977a): study XZ Germany West 1974

Public: Adults, general public, West-Germany, 1974
Survey name: DE-Allensbacher Survey
Sample
Respondents: N = 2029
Non Response
Assessment: Interview: face-to-face

Correlate

Authors's Label

Happiness

Our Classification

Remarks

Happiness measure type O-HP

Operationalization

When somebody should say about you: "This person is very happy"; is he right or wrong?
3 right
2 fifty - fifty
1 wrong
0 difficult to say

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

A-CA-mh-ri-v-2-b

G = +.48 p < .01

GOODMAN & Kruskal's GAMMA

Type: test statistic
Measurement level: Correlate: ordinal, Happinessl: ordinal
Range: [-1; +1]

Meaning:
G = 0  «  no  rank correlation
G =  +1 «  strongest possible rank correlation, where high correlate values correspond to high happiness ratings.
G =  -1 «  strongest possible rank correlation, where high correlate values correspond with low happiness ratings.

all

A-CA-mh-ri-v-2-b

tb = +.22 p < .01

KENDALL'S RANK CORRELATION COEFFICIENT TAU-B

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

Meaning:
tb = 0 «  no rank correlation
tb = 1 «  perfect rank correlation, where high values of the correlate correspond with high happiness ratings.
tb = -1 «  perfect rank correlation, where high values of the correlate correspond with low happiness ratings.

Stating to be happy in spite of unhappy appearance is rather exeptional (7%), the reverse more common (38%).

The discrepancy between appearance and statement
is greatest in the manual profession.