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Robert LaRose
Researcher at Michigan State University
Publications - 97
Citations - 11674
Robert LaRose is an academic researcher from Michigan State University. The author has contributed to research in topics: The Internet & Social cognitive theory. The author has an hindex of 46, co-authored 96 publications receiving 10455 citations. Previous affiliations of Robert LaRose include University of Southern California.
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Journal ArticleDOI
Internet Self-Efficacy and the Psychology of the Digital Divide
Matthew S. Eastin,Robert LaRose +1 more
TL;DR: An eight-item Internet self-efficacy scale developed for the present study was found to be reliable and internally consistent and a path analysis model was tested within the theoretical framework of social cognitive theory.
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A Social Cognitive Theory of Internet Uses and Gratifications: Toward a New Model of Media Attendance
Robert LaRose,Matthew S. Eastin +1 more
TL;DR: This article used structural equation modeling techniques to test a new model of media attendance in which active consideration of Internet uses and gratifications, moderated by Internet self-efficacy, joins habitual behavior and deficient self-regulation as determinants of media behavior.
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Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation?
TL;DR: In this paper, the authors examined the impact of deficient self-regulation on media behavior in a sample of 465 college students and found that media consumers monitor, judge, and adjust their own behavior, processes that may be found in all media consumers.
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Loneliness as the cause and the effect of problematic Internet use: the relationship between Internet use and psychological well-being.
TL;DR: The current study showed that individuals who were lonely or did not have good social skills could develop strong compulsive Internet use behaviors resulting in negative life outcomes instead of relieving their original problems.
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How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction
TL;DR: An analysis of 339 adult participants revealed a positive relationship between supportive interaction and positive affect after the interaction and a path model revealed positive associations among the number of SNS friends, supportive interactions, affect, perceived social support, sense of community, and life satisfaction.