The impact of daily stress on adolescents' depressed mood
Eline Frison,Steven Eggermont +1 more
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TLDR
Structural equation modeling showed that daily stress positively predicted adolescents' seeking of social support through Facebook and when social support was sought on Facebook and subsequently perceived, social support seeking through Facebook decreased adolescents' depressed mood.About:
This article is published in Computers in Human Behavior.The article was published on 2015-03-01 and is currently open access. It has received 174 citations till now. The article focuses on the topics: Social support.read more
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Social Networking Sites, Depression, and Anxiety: A Systematic Review
TL;DR: The evidence suggests that SNS use correlates with mental illness and well-being; however, whether this effect is beneficial or detrimental depends at least partly on the quality of social factors in the SNS environment.
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Exploring the Relationships Between Different Types of Facebook Use, Perceived Online Social Support, and Adolescents' Depressed Mood
Eline Frison,Steven Eggermont +1 more
TL;DR: In this article, the authors investigated the relationship between different types of Facebook use, perceived online social support, and boys' and girls' depressed mood, and found that the harmful impact of Facebook usage exclusively occurs among girls who passively use Facebook and among boys who actively use Facebook in a public setting.
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Transformation of Adolescent Peer Relations in the Social Media Context: Part 1—A Theoretical Framework and Application to Dyadic Peer Relationships
TL;DR: It is argued that social media transforms adolescent peer relationships in five key ways: by changing the frequency or immediacy of experiences, amplifying experiences and demands, altering the qualitative nature of interactions, facilitating new opportunities for compensatory behaviors, and creating entirely novel behaviors.
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A systematic review of the mental health outcomes associated with Facebook use
TL;DR: The review highlighted the multidimensional nature of Facebook use, and the subsequent importance of assessing specific SNS platforms or similar functions over platforms, as well as to identify pertinent moderators and individual difference factors.
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Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review
TL;DR: In this article, a systematic review examined empirical research on the relationship between social media use and depressive symptoms in the child and adolescent population, concluding that there is a small but statistically significant correlation between media usage and depression in young people.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Book
Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.