Study Mcdool et al. (2016): study GB 2010
- Public
- 10-15 aged, United Kingdom, 2010-2014
- Survey name
- UK-Household Longitudinal Study (UKHLS)
- Sample
- Respondents
- N = 3971
- Non Response
- Assessment
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Questionnaire: Conputer Assisted Web Interview (CAWI)
Self completion questionnaire for children used next to telephone interview with adults
Correlate
- Authors's Label
- Netchat
- Our Classification
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- Distribution
- Mean = 2.42; SD = 0.89
- Related specification variables
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- Operationalization
- Time spent chatting on social media per school day
Observed Relation with Happiness
All above associations controled for the following covariates:
- individual characteristics
- number close friends
- age
- gender
- ethnicity
- hours watching tv
- family sutuation
- parent employed
- parent degree
- single parnt HH
- income
- number children in HH
- home owner
- evening meal family
- behaviors
- want to go to university
- ever played truant
- ever smoked
- stayed out after 9 pm
- environment
- urban
- local unemployment rate
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OPRC coefficients denote with increasing internet use there is a decreasing probability of responding "COMPLETELY HAPPY" and an increasing probability of responding "NOT HAPPY AT ALL"
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A negative AMPE denotes a decreasing probability of being "COMPLETELY HAPPY" when internet use is increasing.
A positive AMPE denotes an increasing probability of being "NOT HAPPY AT ALL" when internet use is increasing.
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The results of the above analyses are robust against controlling for endogeneity of the variable NETCHAT, where a simultaneous estimation model is employed using relevant Instrumental Variables. This endogeneity approach controls for simultaneous effects of the above mentioned covariates on NETCHAT and LIFE SATISFACTION.