Time spent online: Latent profile analyses of emerging adults' social media use

Scott, Carol F.; Bay‐Cheng, Laina Y.; Prince, Mark A.; Nochajski, Thomas H.; Collins, Rebecca L.

doi:10.1016/j.chb.2017.05.026

Cited by 64 publications

(56 citation statements)

References 46 publications

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“…Students in the high motivational profile reported more time spent on Facebook than those in the other two profiles. The results confirm and are in line with previous research findings [4,19]. Together, our findings suggests that latent person-oriented approach, such as LPA, is a useful tool for studying student Facebook motivations.…”

Section: Discussionsupporting

confidence: 92%

Exploring Motives for Using Facebook: A Latent Profile Analysis

Stanciu¹,

Balog²

2018

STUD INFORM CONTROL

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People use Facebook from a variety of motives and literature is dominated by descriptive statistics and variableoriented approaches (e.g., regression). The aim of this paper is to extend previous research by adopting a person-oriented approach (i.e., LPA-latent profile analysis) and examine whether profiles of motivation can be identified. Two empirical studies were performed engaging Romanian university students (557 and 550, respectively). The LPA and mclust package version 5.3 were used to identify groups of students who share similar response patterns to multiple facets of motivation when using Facebook. The results of LPA revealed the presence of three profiles, reflecting different levels of motivations for using Facebook: low, moderate, and high. These profiles differed significantly from each other with respect to maintaining social relationships, extending social relationships, and information & collaboration. The results illustrate that maintaining social relations is the most important factor to create the profiles. Also, students in the high motivational profile reported more time spent on Facebook than those in the other two profiles.

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Section: Discussionsupporting

confidence: 92%

Exploring Motives for Using Facebook: A Latent Profile Analysis

Stanciu¹,

Balog²

2018

STUD INFORM CONTROL

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“…It is noted however, that whilst subthreshold disorders do not meet full diagnostic criteria, they do involve the presence of core symptoms and impairment, which has been shown to predict clinical manifestations of the disorder (Wolitzky-Taylor, Dour, Zinbarg, Mineka, Vrshek-Schallhorn, Epstein et al, 2014). Therefore, it could be suggested that individuals who seek to use SNS to compare themselves to others (Scott et al, 2017), may present subthreshold BDD symptoms, making them vulnerable to the onset of the clinical manifestation of the disorder. Since subthreshold BDD does not represent an ordinary level of appearance concern (Schneider et al, 2017), future research should consider the identification of subthreshold BDD presentations in SNS use and body image research.…”

Section: Discussionmentioning

confidence: 99%

The use of social networking sites, body image dissatisfaction, and body dysmorphic disorder: A systematic review of psychological research.

Ryding¹,

Kuss²

2020

Psychology of Popular Media

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The escalation of social networking site (SNS) usage has led to much research examining both the positive and negative implications SNS can have on well-being. However, whilst many studies have investigated the relationship between SNS usage and body image, there remains a paucity of research in regards to SNS usage and Body Dysmorphic Disorder (BDD). A systematic search was undertaken using Web of Science, PsychInfo and PubMed databases to identify SNS usage and patterns, SNS features and mediating factors contributing towards body image dissatisfaction, resulting in 40 studies meeting specific inclusion criteria. Findings identified passive SNS use and appearance-focused SNS use as particularly influential. Appearance-based comparisons were also found to be a strong mediator between SNS use and body image dissatisfaction. Using the current knowledge, parallels were highlighted in terms of body image dissatisfaction and BDD symptomatology, suggesting frequent SNS usage as a potential risk factor in the development of BDD symptoms.

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“…The majorities of the studies that have analyzed and compared traditional and cyber-victimization have based their conclusions about the similarities and differences between the two forms on the degree to which youth's scores in the different forms overlap (i.e., correlate) and, to a lesser extent, to what extent the correlates of traditional and cyber-victimization are the same (see Gini et al, 2018 for a meta-analysis). While this approach provides useful information, especially about the interindividual variations of the variables of interest (Molenaar & Campbell, 2009), authors in the field of peer victimization (e.g., Bradshaw, Waasdorp, & Brennan, 2013;Goldweber, Waasdorp, & Bradshaw, 2013), as well as of Internet use (e.g., Scott, Bay-Cheng, Prince, Nochajski, & Collins, 2017), are increasingly recommending the use of complementary approaches. It has been suggested, for example, that person-centered approaches enable researchers to capture "qualitatively different profiles of study variables that are not anchored on a linear or continuous scale" (Sturge-Apple, Davies, & Cummings, 2010, p. 1320, as is the case of different forms of victimization.…”

Section: Overlap Between Traditional and Cyber-victimizationmentioning

confidence: 99%

Associations of Traditional and Peer Cyber-Victimization With Adolescents’ Internet Use: A Latent Profile Analysis

et al. 2019

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Significant overlap exists between traditional victimization and peer cyber-victimization. Yet, they can also be somewhat differentiated. Adopting person-centered approaches, studies showed that multiple classes of peer victimization are distinguishable. In particular, this study analyzed the differences in Internet use, Internet motives and behavior and ethical media use of adolescents who are victimized only (or mainly) online (i.e., “cyber-victims”), their peers who are victimized at school (“traditional victims”), students who are frequently victimized both offline and online (“dual victims”), and students who are not victimized. A sample of 1377 Italian adolescents (49.5% females, age M = 16.13, SD = 1.27) completed self-report questionnaires of traditional and peer cyber-victimization and a variety of Internet-related measures. Latent profile analysis yielded four distinct groups: non-victims (79.6% of the sample), traditional victims (9.2%), cyber-victims (9.1%), and dual victims (2.1%). Among the four groups, dual victims, that is, adolescents who are frequently victimized both at school and online, showed the most problematic use of information and communication technologies (ICT). Dual victims and cyber-victims also reported to engage more frequently than the other groups in a variety of Internet activities (e.g., role-playing games and visiting adult sites). Traditional victims reported more coping and conformity motives for using Internet compared to non-victims and, in the latter case, also to cyber-victims. The current findings may help to better understand the link between traditional victimization and peer cyber-victimization with adolescent’s use of information and communication technologies and may inform prevention and educational programs about positive use of new technologies among adolescents.

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Time spent online: Latent profile analyses of emerging adults' social media use

Cited by 64 publications

References 46 publications

Exploring Motives for Using Facebook: A Latent Profile Analysis

Exploring Motives for Using Facebook: A Latent Profile Analysis

The use of social networking sites, body image dissatisfaction, and body dysmorphic disorder: A systematic review of psychological research.

Associations of Traditional and Peer Cyber-Victimization With Adolescents’ Internet Use: A Latent Profile Analysis

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