scholarly journals Constructing tailored parental monitoring strategy profiles to predict adolescent disclosure and risk involvement

2017 ◽  
Vol 7 ◽  
pp. 147-151 ◽  
Author(s):  
Lesley A. Cottrell ◽  
Christa A. Lilly ◽  
Aaron Metzger ◽  
Scott A. Cottrell ◽  
Andrew D. Epperly ◽  
...  
Author(s):  
Annisa Reginasari ◽  
Tina Afiatin ◽  
Subandi Subandi ◽  
Bhina Patria ◽  
Muchlisah Muchlisah

The digital parenting realm raised a charm in exploring unique internet monitoring strategies of middle schoolers' daily lives as an authentic phenomenon of increasing youth cybernaut in Indonesia. This study explores parents' patterns of strategies in monitor their children's online activities. A total of 171 parents involved in this study filled out an open-ended survey, where we analyzed their answers using a combination of six steps of Braun and Clarke's (2006) Thematic Analysis procedure and De Farias et al.'s (2020) logical procedure of similarity with MAXQDA 2020 visual tools. The central theme emerged the internet monitoring strategies: regulation, guidance, trust-space, and direct intervention. From parents' perspective, the effective internet parental monitoring strategy was not only proactive but also reactive, especially when children were directly exposed to the online risks or violated the family media use agreement. Parents were optimizing the benefits of children online activity and minimizing the online risks. Parents were also concerned about the top three vital psycho-social factors: generosity, self-control, and critical-technical skills in mastering the cyberworld. Afterward, parents with children of a specific middle schoolers group tend to talk about strategies of internet parental monitoring.


1990 ◽  
Author(s):  
Ann C. Crouter ◽  
Shelley M. MacDermid ◽  
Susan M. McHale ◽  
Maureen Perry-Jenkins
Keyword(s):  

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.


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