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Correlational findings

Study Nikolaev (2018): study AU 2001

Public
Working aged (22-65), Australia, followed 12 years, 2001-2013
Survey name
AU-HILDA combined waves
Sample
Respondents
N = 126265
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Education level
Our Classification
Operationalization
1 less than high school (reference)
2 highschool
3 some college
4 graduate

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-u-sq-n-11-d Beta = -.02 ns HIGH SCHOOL       (vs less than high school) A-AB-cm-mq-v-6-g Beta = + p < .01 Positive affect: Beta = +.06(01)
Negative affect: Beta = -.09(01)
Beta with Affect Balance (PA-NA) hence positive O-SLW-u-sq-n-11-d Beta = +.00 ns SOME COLLEGE     (vs less than highschool) A-AB-cm-mq-v-6-g Beta = + p < .01 Positive affect: Beta = +.10(01)
Negative affect: Beta = -.15(01)
Beta with Affect Balance (PA-NA) hence positive O-SLW-u-sq-n-11-d Beta = +.05 ns COLLEGE          (vs less than high school) A-AB-cm-mq-v-6-g Beta = + p < .01 Positive affect: Beta = +.11(01)
Negative affect: Beta = -.18(01)
Beta with Affect Balance (PA-NA) hence positive O-SLW-u-sq-n-11-d Beta = +.06 ns A-AB-cm-mq-v-6-g Beta = + p < .01 Positive affect: Beta = +.16(01)
Negative affect: Beta = -.22(01)
Beta with Affect Balance (PA-NA) hence positive

Betas controlled for:
- age + age squared
- gender
- marital status
- employment status
- individual labor income (log)