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Correlational findings

Study DiGiacinto et al. (2007): study IT 2004

Public:
Employees, Italy, 2004
Sample:
Respondents:
N = 1240
Non Response:
Assessment:
Questionnaire: paper
Method of assesment is not specified in the paper and is assumed.

Correlate

Authors's label
Creative environment
Our Classification
Operationalization
A: Talent
Aa: Creative class index
Ab: Human capital index
Ac: Number of researchers index

B: Technology
Ba: High-tech index
Bb: Innovation index
Bc:  High-tech connectivity index

C: Tolerance
Ca: Diversity index
Cb: Integration index
Cc: Gay tolerance index

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-QOL-?-sq-n-10-a OPRC = +1.4 p < .032 O-QOL-?-sq-n-10-a b = +2.0 p < .035 O-QOL-?-sq-n-10-a Beta = +.20 p < .035 Regressions control for:
-age
-income
-schooling*creativity index
-marital status
-gender
-educational level
-province level unemployment rate
-province level per capita disposable income
-area
O-QOL-?-sq-n-10-a OPRC = -.16 p < .002 Interaction between schooling and creativity index. O-QOL-?-sq-n-10-a b = -.25 p < .003 Interaction between schooling and creativity index. O-QOL-?-sq-n-10-a Beta = -.33 p < .003 Interaction between schooling and creativity index.

Regressions control for:
-age
-income
-Creativity Index
-marital status
-gender
-educational level
-province level unemployment rate
-province level per capita disposable income
-area