print

Correlational findings

Study Wilczek (2018): study ZZ Europe 2010

Public
15+ aged, general public, Europe 2010-2015
Survey name
EU-Eurobarometer 2010-2015
Sample
Respondents
N = 73860
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Impact levels of social events
Our Classification
Distribution
M=2.60; SD=3.61
Related specification variables
Operationalization
Impact levels of social events in nation.
a 1 Relevant events (affecting the majority of residents)
  0 Not relevant events
b 1 Non-polarizing events (either positive or negative consequences for the majority of the nation's population)
  0 Polarizing events (mixed consequences)
c 1 Certain consequences (have taken place or are unfolding)
  0 Uncertain consequences (probable to take place)
d 1 Radical events (occur on specific dates and bring about big changes)
  0 Incremental events (part of longer developments, smaller changes)
e 1 Chronologically close ( not more than 2 weeks before people's assesment of their life satisfaction)
   0 Chronologically distant.

Coded 1 to 5, etc. depending on the number of events.

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLL-u-sq-v-4-b Beta = -.07 p < .001 Beta controlled for:
- personal
  - gender
  - age
  - education
  - marital status
  - occupation status
  - social class
- media use
  - use of written press
  - use of radio
  - use of the internet
  - use of TV
  - use of SNS
- nation
  - unemployment
  - inflation
  - population size
  - GDP per capita
  - journalism culture
  - social diversity
- events
  - consequences of national social events