2015
DOI: 10.1111/hcre.12069
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The Impact of “Scary” TV and Film on Children's Internalizing Emotions: A Meta-Analysis

Abstract: Despite a general perception that violent or scary television creates anxiety in children, the research literature is small and disparate. A meta-analysis quantifies the impact of scary television and film on children's internalizing emotions (fear, anxiety, sadness, and sleep problems). Scary television has a relatively small impact on children's internalizing emotions (r = .18) overall, and this association was not significantly moderated by whether the televised material was factual (e.g., news) or fiction… Show more

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Cited by 23 publications
(16 citation statements)
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References 80 publications
(109 reference statements)
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“…As such, although worthwhile, the average within-person effects of social media on well-being obtained in previous studies may have been small or non-significant because they are diluted across a highly heterogeneous population (or sub-population) of adolescents 14,15 . In line with the proposition of media effects theories that each adolescent may have a unique susceptibility to the effects of social media 17 , a viable explanation for the small and inconsistent findings in earlier studies may be that the effect of social media differs from adolescent to adolescent.…”
mentioning
confidence: 83%
“…As such, although worthwhile, the average within-person effects of social media on well-being obtained in previous studies may have been small or non-significant because they are diluted across a highly heterogeneous population (or sub-population) of adolescents 14,15 . In line with the proposition of media effects theories that each adolescent may have a unique susceptibility to the effects of social media 17 , a viable explanation for the small and inconsistent findings in earlier studies may be that the effect of social media differs from adolescent to adolescent.…”
mentioning
confidence: 83%
“…We performed the overall effect and publication bias analyses with effect sizes aggregated within studies using the rma() function. This approach enabled the estimation of single-level random-effects models ( Viechtbauer, 2010 ; see Pearce & Field, 2016 , for a similar approach). We applied a maximum likelihood estimator.…”
Section: Methodsmentioning
confidence: 99%
“…Song et al (2014) Facebook use Loneliness .17 20. Pearce and Field (2015) Exposure to scary television Fear/anxiety .18…”
Section: Studymentioning
confidence: 99%