“i h8 u”: The Influence of Normative Beliefs and Hostile Response Selection in Predicting Adolescents' Mobile Phone Aggression—A Pilot Study

Nicol, A. R.; Fleming, Michele J.

doi:10.1080/15388220903585861

Cited by 32 publications

(29 citation statements)

References 52 publications

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“…At this level, texting may interfere with the formation of face‐to‐face relationships as much conversation is done in a virtual fashion. Additionally, aggression may be common for “perpetuals,” because it is possible that heavy cell phone users explore and enhance delinquent relationships while isolating others, including parents (Nicol & Fleming, ). Indeed, this group showed the worst relationship with their fathers at the final time point though not mothers.…”

Section: Discussionmentioning

confidence: 99%

“…Cell phone use has also been linked with a number of positive and negative outcomes for adolescents, though again, few studies have examined these relations over time. High levels of texting has been positively associated with depressive symptoms or anxiety (Sánchez‐Martínez & Otero, ), and aggressive behavior (Nicol & Fleming, ). Additionally, a growing number of studies suggest that cell phone use can become problematic and may show similarities with other substance and technological addictions (e.g., Roberts, Petnji Yaya, & Manolis, ).…”

Section: Media Use Across Adolescencementioning

confidence: 99%

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A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

2017

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This study examined growth trajectories of texting (and other media) over a 6-year time period. Participants were 425 adolescents from Washington, USA (age 13 at Time 1, age 18 at Time 6; 48% male, 68% European American). Analyses suggested a curvilinear pattern for texting and social media use, with rates peaking during midadolescence. There was also considerable heterogeneity in trajectories of texting. A growth mixture model revealed four distinct classes of individuals: perpetuals (14%), decreasers (7%), moderates (68%), and increasers (11%). Higher levels of depression, being a male, and coming from a single-parent family predicted being a "perpetual" texter. Perpetuals had the most problematic outcomes compared to other classes, including higher depression, anxiety, aggression, and poor relationships with fathers.

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Section: Discussionmentioning

confidence: 99%

Section: Media Use Across Adolescencementioning

confidence: 99%

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

2017

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“…A growing body of literature indicates that excessive test messaging is related to a variety of negative outcomes, such as depressive symptoms, anxiety, and aggressive behavior (e.g., Nicol & Fleming, 2010;Sánchez-Martínez & Otero, 2008). A recent longitudinal study conducted by Coyne, Padilla-Walker, and Holmgren (2018) revealed that high and stable levels of texting early in adolescence were related to various negative outcomes later.…”

Section: Problematic Text Messaging As a Societal Issuementioning

confidence: 99%

A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach

Hayashi

Friedel

Foreman

et al. 2019

J Exper Analysis Behavior

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The goal of this study was to determine whether cluster analysis could be used to identify distinct subgroups of text message users based on behavioral economic indices of demand for text messaging. Cluster analysis is an analytic technique that attempts to categorize cases based on similarities across selected variables. Participants completed a questionnaire about mobile phone usage and a hypothetical texting demand task in which they indicated their likelihood of paying an extra charge to continue to send text messages. A hierarchical cluster analysis was conducted on behavioral economic indices, such as demand intensity, demand elasticity, breakpoint, and the maximum expenditure. With the cluster analysis, we identified 3 subgroups of text message users. The groups were characterized by (a) high intensity and low elasticity, (b) high intensity and medium elasticity, and (c) low intensity and high elasticity. In a demonstration of convergent validity, there were statistically significant and conceptually meaningful differences across the subgroups in various measures of mobile phone use and text messaging. Cluster analysis is a useful tool for identifying and profiling distinct, practically meaningful groups based on behavioral indices and could provide a framework for targeting interventions more efficiently.

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“…In our study, we focus on normative beliefs about aggression, which have been connected to aggressive behavior among children and youth. Previous studies consistently reported that normative beliefs were associated with offline bullying (Burton, Florell & Wygant, ; Cook, Williams, Gendron et al ., ; Guerra, Kim & Sadek, 2010; Guerra, Williams & Sadek, ; Kikas, Peets, Tropp & Hinn, ; Vernberg & Jacobs, ; Werner & Nixon, ) and cyberbullying (Ang, Tan & Mansor, ; Nicol & Fleming, ; Williams & Guerra, ; Wright & Li, ). A meta‐analytic study conducted by Cook et al .…”

Section: Normative Beliefs About Aggressionmentioning

confidence: 99%

Bystanders’ responses to offline bullying and cyberbullying: The role of empathy and normative beliefs about aggression

Macháčková

Pfetsch

2016

Scandinavian J Psychology

112

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Cyberbullying often takes place with the virtual presence or knowledge of bystanders. While we have some evidence about the determinants of bystanders' responses to offline bullying, we lack empirical studies concerning the variables that influence bystanders' responses to cyberbullying. The current study examines bystanders' responses to offline bullying and cyberbullying incidents. Two types of responses were captured: support toward the victims and the reinforcement of bullies' actions. Using data from 321 German adolescents (ages 12-18; M = 14.99; 44% girls), the association between bystanders' responses and normative beliefs about verbal aggression and cyberaggression, and affective and cognitive empathy, were tested in a path model. Both types of normative beliefs positively predicted the reinforcement of bullies, and normative belief about verbal aggression also predicted support for the victims of offline bullying. Both types of empathy predicted support in offline bullying, but only affective empathy predicted support in cyberbullying. There was no link between affective or cognitive empathy to the reinforcement of bullies. Moreover, bystanders' tendencies to respond supportively to the victim or to reinforce the bully were rather consistent in both cyber- and offline bullying, but there was no link between support and reinforcement. The findings are discussed with regard to implications for prevention and intervention efforts.

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“i h8 u”: The Influence of Normative Beliefs and Hostile Response Selection in Predicting Adolescents' Mobile Phone Aggression—A Pilot Study

Cited by 32 publications

References 52 publications

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach

Bystanders’ responses to offline bullying and cyberbullying: The role of empathy and normative beliefs about aggression

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