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Correlational findings

Study Diego-Rosell et al. (2018): study ZZ 2011

Public:
15+ aged, general public, 153 nations, 2011-2013
Survey name:
INT-Gallup World Polls
Sample:
Respondents:
N = 370635
Non Response:
Assessment:
Interview: face-to-face
79% face-to-face, 21% telephone

Correlate

Authors's label
Multiple variables
Our Classification
Operationalization
a Demographic factors:
    - gender
    - age, age2
    - years of formal education
    - marital status
    - location
    - birthplace
    - number of children in household
b Material well-being:
    - not enough money for food
    - not enough money for shelter
    - satisfaction with household income
    - home has a cellular phone
    - home has tv
    - home has internet access
c Physical health:
    - health problerms
    - feel well-rested
    - satisfied w. opportunity to make friends
    - have someone to count on
    - received remittances
d Material well-being:
    - city economy
e Community context:
    - satisfied with city/area
    - would recommend city/area
    - good place for immigrants
    - children are respected
    - children can learn and grow
    - satisfied with health care
    - satisfied with schools
    - satisfied with public transportation
    - satisfied with roads and highways
    - satisfied with housing optons
    - satisfied with quality of air
    - satisfied with quality of water
    - satisfied with environmental preservation
    - had any money/property stolen
    - region important in life
    - feel safe walking alone at night
    - good place for minorities
    - good place for gay/lesbian
f  Governance:
    - corruption in businesses
    - corrup[tion in government
    - satisfied with freedom in your life
    - satisfied with media freedom
    - easy to start business
    - confidence in judicial system
    - confidence in honesty of elections
    - confidence in local police
    - confidence in military
    - confidence in national government
g Altruistic behavior:
    - donated money to charity
    - volunteered time
     - helped a stranger

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks C-BW-c-sq-l-11-c Ra² = .44 a+b+c

WORLD

REGIONS      R2
EU+         .448
Balkans     .409
CIS         .287
NAmANZ      .361
SE Asia     .386
S Asia      .404
E Asia      .314
Lat.Am.     .316
MENA        .456
SSA         .369
C-BW-c-sq-l-11-c Ra² = .49 a+b+c+d+e+f+g

REGIONS      R2
EU+         .473
Balkans     .470
CIS         .335
NAmANZ      .425
SE Asia     .413
S Asia      .538
E Asia      .378
Lat.Am.     .357
MENA        .534
SSA         .437

The addition of an objective income variable in the model does not effect the result significantly
A-AB-yd-mq-v-2-v Ra² = .24 a+b+c

             R2
EU+         .236
Balkans     .324
CIS         .217
NAmANZ      .321
SE Asia     .204
S Asia      .237
E Asia      .190
Lat.Am.     .316
MENA        .314
SSA         .206
A-AB-yd-mq-v-2-v Ra² = .27 a+b+c+d+e+f+g

             R2
EU+         .308
Balkans     .420
CIS         .294
NAmANZ      .313
SE Asia     .302
S Asia      .330
E Asia      .328
Lat.Am.     .372
MENA        .399
SSA         .321

The addition of an objective income variable in the model does not effect the result significantly