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Correlational findings

Study Herzog et al. (1982): study US 1971

Public:
25-97 aged, general public, USA, 1971-1978
Sample:
Respondents:
N = 1500
Non Response:
Assessment:
Interview: face-to-face
Structured interview

Correlate

Authors's label
Married vs not married
Our Classification
Operationalization
0 Unmarried
1 Married

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-HL-c-sq-v-3-aa Beta = +.16 p < .05 DATASET 1: ß identical across age (25-44/45-64/
65-97). ß controlled for gender, race, family income, education and employment status.
O-HL-c-sq-v-3-aa Beta = +.19 p < .05 DATASET 2: ß identical across age (25-44/45-64/ 65-97).ß controlled for gender, race, family income, education, employment status and health. O-DT-u-sq-v-7-a Beta = +.03 ns DATASET 1: ß  higher among 25-44 and 45-64 than among 65-97 aged (p<.05). ß controlled for gender, race, family income, education and employment status. O-SLW-c-sq-n-7-a Beta = +.18 p < .05 DATASET 5: ß identical across age. ß controlled for gender, race, family income, education and  employment status. O-HL-c-sq-v-3-aa Beta = +.17 p < .05 DATASET 6: ß identical across age (25-44/45-64/
65-97). ß controlled for gender, race, family income, education, employment status and health.
O-HL-c-sq-v-3-aa Beta = +.19 p < .05 DATASET 5: ß identical across age 25-44/45-64/ 65-97).ß controlled for gender, race, family income, education and employment status. O-DT-u-sq-v-7-a Beta = +.19 p < .05 DATASET 3: ß identical across age. ß controlled for gender, family income, education, race and employment status. O-SLW-c-sq-n-7-a Beta = +.25 p < .05 DATASET 6: ß identical across age. ß controlled for gender, race, family income, education, employment status and health. O-HL-c-sq-v-3-aa Beta = +.18 p < .05 DATASET 7: ß identical across age (25-44/45-64/
65-97). ß controlled for gender, race, family income, education, employment status and health.
O-SLW-c-sq-n-7-a Beta = +.08 p < .05 DATASET 7: ß identical across age. ß controlled for gender, race, family income, education, employment status and health.