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. Calling and texting are available through smarthphones, instant messaging, and social network site. With access to Wi-Fi, smartphones allow peers to communicate through multiple channels after school, regardless of location in the home and including the

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80 . P. Clymo 1996 Home video game playing in schoolchildren: A study of incidence and patterns of play Youth Studies

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for many reasons, parents did not always monitor video game use in the past, and they introduced the games early into the home. However, because of all the current negatives consequences, more or less suddenly and quite brutally for the teenager, the

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individuals (with no legal status one way or the other) in the privacy of their homes – except in the few exceptions whence a woman invites someone into her home to witness her feat ( Hansen, 1901 ; Nider, 1475 ). Furthermore, it seems apparent that until

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of information, communication, and recreational digital technologies. Therefore, the Internet can affect juveniles’ microsystems (e.g., home, school, and community). Taking juveniles’ problematic smartphone use as an example, peer PSU may influence

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the first month of life 67 80 Stevenson-Hinde, J., Hinde, R. A., Simpson, A. E. (1986) Behavior at home and friendly or hostile behavior in preschool

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won; see Supplemenetary Materials). The scratch card games presented mirrored real scratch card games available for purchase in our home jurisdictation of Ontario, and thus were taken from the Ontario Lottery and Gaming Corporation website ( OLG, 2018

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Journal of Behavioral Addictions
Authors: Rachel L. Sanacora, Seth W. Whiting, Corey E. Pilver, Rani A. Hoff, and Marc N. Potenza

, where census sampling units, households, and then members of households were sampled in sequence. The sample was enhanced with members of group-living environments such as dormitories, group homes, shelters, and facilities for housing workers. Jails

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Journal of Behavioral Addictions
Authors: Dominic Sagoe, Rune Aune Mentzoni, Tony Leino, Helge Molde, Sondre Haga, Mikjel Fredericson Gjernes, Daniel Hanss, and Ståle Pallesen

informed about the deception and allowed to leave the laboratory. Participants in the moderate alcohol-ingesting conditions (IA-GMA and IP-GMA) were also informed about the alcohol intake and asked to depart for home advisably using public

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home, or at the QLS office. A total of 88.7% participants completed all assessments. For information regarding data cleaning, please refer to the QLS Data User Manual ( Williams et al., 2014 ). In this research, we restricted analysis to the

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