Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Nomophobia Questionnaire× | Schaal voor Betrokkenheid bij Mobiele Gezondheidstoepassingen× | |
|---|---|---|
| Vakgebied | Gezondheidsinformatica | Gezondheidsinformatica |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2015 | 2017 |
| Grondlegger≠ | Caglar Yildirim, Andre P. Correia | Oliver Perski, Anna Blandford, Robert West, Susan Michie |
| Type | Self-report questionnaire | Self-report questionnaire |
| Oorspronkelijke bron≠ | Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137. DOI ↗ | Perski, O., Blandford, A., West, R., & Michie, S. (2017). Conceptualising engagement with digital behaviour change interventions: a systematic review, meta-analysis and integrated framework. European Health Psychologist, 19(2), 519–552. link ↗ |
| Aliassen≠ | NMP-Q, Nomophobia, Fear of Being Without Phone | mHealth Engagement, Mobile Health Engagement |
| Verwant | 3 | 3 |
| Samenvatting≠ | The Nomophobia Questionnaire measures 'nomophobia'—the fear of being without one's mobile phone—a contemporary form of technology-related psychological distress emerging with smartphone ubiquity. Developed by Yildirim and Correia (2015), the 20-item NMP-Q captures anxiety, compulsive checking, communication apprehension, and negative perceptions about being unreachable, reflecting the extent to which individuals depend on smartphones for functioning and sense of security. | The Mobile Health Engagement Scale measures the extent to which individuals engage with mobile health applications and digital behaviour change interventions. Developed through systematic review and meta-analysis by Perski and colleagues (2017), it captures both behavioural and psychological dimensions of engagement—frequency of use, depth of interaction, and subjective satisfaction—essential for understanding the effectiveness of mHealth interventions in real-world settings. |
| ScholarGateGegevensset ↗ |
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