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The MoodWheel app

Validation and factor structure of a new tool for the assessment of mood based on the experience sampling method

Datos Bibliográficos

ID10123133
AutoresDaniel David (0000-0002-9081-423X, autor de correspondencia), Oana David (0000-0001-8706-1778, Babeș-Bolyai University, autor de correspondencia), Cristina Tomoiagă (0000-0003-4729-3763, Babeș-Bolyai University), Liviu A Fodor (0000-0003-3461-1240, Babeș-Bolyai University)
Año2024
Volumen152
Número2
Páginas220-236
Fecha de publicación2024-07-19
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaThe Journal of General Psychology (JOURNAL)
Identificadores de la revistaISSN: 0022-1309 • E-ISSN: 1940-0888
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00221309.2024.2378284
PMID39028550
OpenAlexW4400804183
IdiomaEN
Referencias citadas25

The MW application is a useful and easy to use tool that can be used for the accurate measurement of emotions, which will be complimented in future with additional behavioral parameters to provide a comprehensive and dynamic assessment

Distress · Experience sampling method · Mood · Reliability (semiconductor · Sampling (signal processing · Applied Psychology · Artificial Intelligence · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Computer Science · Mental Health Research Topics · Psychological Treatments and Assessments · Psychology · Social Psychology

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  • Schools As a Vital Component of the Child and Adolescent Mental Health System

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  • Why do children and adolescents (not) seek and access professional help for their mental health problems? A systematic review of quantitative and qualitative studies

    Open Access•Jerica Radez, Tessa Reardon et al.•European Child & Adolescent…•2021

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  • A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research

    Open Access•Terry K Koo, Mae Y Li•Journal of Chiropractic Medicine•2016

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    Michael A Babyak, Samuel B Green•Psychosomatic Medicine•2010

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  • What are emotions? And how can they be measured

    Open Access•Klaus R Scherer•Social Science Information•2005

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae