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Correlational findings

Study Hsieh (2016): study US 1971

Public
18+ aged, general public, USA 1971
Survey name
US-Quality of American Life
Sample
Respondents
N = 2164
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
sum of ten domain satisfaction scores
Our Classification
Remarks
8 clusters of importance were identified using two methods of cluster analysis: 1: Latent cluster analysis and 2: a cluster analysis that minimizes within-group variation while maximizing between-group variation
Related specification variables
Operationalization
Rating of 10 life domains on
A  satisfaction
B  perceived importance
- housing
- community
- finances
- leisure/hobbies
- family life
- friendships
- health
- government
- job
- organizations
- marriage
- religious faith

Both A and B rated on 7 step verbal reponse scale

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-7-a DM = Average happiness in importance clusters of domain satisfactions
cluster 1    M = 2,73  SD = 1,40  N = 234
cluster 2    M = 2,59  SD = 1,45  N = 301
cluster 3    M = 2,58  SD = 1,58  N = 298
cluster 4    M = 2,35  SD = 1,16  N = 334
cluster 5    M = 2,34  SD = 1,16  N = 191
cluster 6    M = 2,33  SD = 1,52  N = 222
cluster 7    M = 2,39  SD = 1,43  N = 236
cluster 8    M = 3,33  SD = 1,66  N = 110
O-SLW-c-sq-n-7-a r = + Correlation of happiness with summed domain satisfactions in 8 importance clusters
    
          cluster method 1   cluster method 2
cluster 1     +.49               +.61
cluster 2     +.60               +.51
cluster 3     +.61               +.65
cluster 4     +.55               +.51
cluster 5     +.68               +.42
cluster 6     +.61               +.64
cluster 7     +.56               +.57
cluster 8     +.59               +.66

Some of the correlations differ significantly:
- method 1: cluster 1 < 3, 5, 6
- method 2: cluster 5 < 3, 7, 8