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Translation and Validation of the Nomophobia Questionnaire in the Italian Language: Exploratory Factor Analysis

  • Dades identificatives

    Identificador: imarina:5131846
    Autors:
    Adawi M, Bragazzi NL, Argumosa-Villar L, Boada-Grau J, Vigil-Colet A, Yildirim C, Del Puente G, Watad A.
    Resum:
    Background: Nomophobia, which is a neologism derived from the combination of no mobile, phone, and phobia is considered to be a modern situational phobia and indicates a fear of feeling disconnected. Objective: No psychometric scales are available in Italian for investigating such a construct. We therefore planned a translation and validation study of the Nomophobia Questionnaire (NMP-Q), which is an instrument developed by Yildirim and Correia. Subjects were recruited via an online survey using a snowball approach. Methods: The NMP-Q was translated from English into Italian using a classical backwards and forwards procedure. In order to explore the underlying factor structure of the translated questionnaire, an exploratory factor analysis was carried out. A principal component analysis approach with varimax rotation was performed. Multivariate regression analyses were computed to shed light on the psychological predictors of nomophobia. Results: A sample of 403 subjects volunteered to take part in the study. The average age of participants was 27.91 years (standard deviation 8.63) and the sample was comprised of 160 males (160/403, 39.7%) and 243 females (243/403, 60.3%). Forty-five subjects spent less than 1 hour on their mobile phone per day (45/403, 11.2%), 94 spent between 1 and 2 hours (94/403, 23.3%), 69 spent between 2 and 3 hours (69/403, 17.1%), 58 spent between 3 and 4 hours (58/403, 14.4%), 48 spent between 4 and 5 hours (48/403, 11.9%), 29 spent between 5 and 7 hours (29/403, 7.2%), 36 spent between 7 and 9 hours (36/403, 8.9%), and 24 spent more than 10 hours (24/403, 6.0%). The eigenvalues and scree plot supported a 3-factorial nature of the translated questionnaire. The NMP-Q showed an overall Cronbach alpha coefficient of 0.95 (0.94, 0.89, and 0.88 for
  • Altres:

    Autor segons l'article: Adawi M, Bragazzi NL, Argumosa-Villar L, Boada-Grau J, Vigil-Colet A, Yildirim C, Del Puente G, Watad A.
    Departament: Psicologia
    Autor/s de la URV: Boada Grau, Joan / Vigil Colet, Andrés
    Paraules clau: Questionnaire validation Psychometric properties Nomophobia Exploratory factor analysis psychometric properties nomophobia exploratory factor analysis
    Resum: Background: Nomophobia, which is a neologism derived from the combination of no mobile, phone, and phobia is considered to be a modern situational phobia and indicates a fear of feeling disconnected. Objective: No psychometric scales are available in Italian for investigating such a construct. We therefore planned a translation and validation study of the Nomophobia Questionnaire (NMP-Q), which is an instrument developed by Yildirim and Correia. Subjects were recruited via an online survey using a snowball approach. Methods: The NMP-Q was translated from English into Italian using a classical backwards and forwards procedure. In order to explore the underlying factor structure of the translated questionnaire, an exploratory factor analysis was carried out. A principal component analysis approach with varimax rotation was performed. Multivariate regression analyses were computed to shed light on the psychological predictors of nomophobia. Results: A sample of 403 subjects volunteered to take part in the study. The average age of participants was 27.91 years (standard deviation 8.63) and the sample was comprised of 160 males (160/403, 39.7%) and 243 females (243/403, 60.3%). Forty-five subjects spent less than 1 hour on their mobile phone per day (45/403, 11.2%), 94 spent between 1 and 2 hours (94/403, 23.3%), 69 spent between 2 and 3 hours (69/403, 17.1%), 58 spent between 3 and 4 hours (58/403, 14.4%), 48 spent between 4 and 5 hours (48/403, 11.9%), 29 spent between 5 and 7 hours (29/403, 7.2%), 36 spent between 7 and 9 hours (36/403, 8.9%), and 24 spent more than 10 hours (24/403, 6.0%). The eigenvalues and scree plot supported a 3-factorial nature of the translated questionnaire. The NMP-Q showed an overall Cronbach alpha coefficient of 0.95 (0.94, 0.89, and 0.88 for the three factors). The first factor explained up to 23.32% of the total variance, while the second and third factors explained up to 23.91% and 18.67% of the variance, respectively. The total NMP-Q score correlated with the number of hours spent on a mobile phone. Conclusions: The Italian version of the NMP-Q proved to be reliable.
    Àrees temàtiques: Saúde coletiva Medical informatics Health informatics Health care sciences & services Ciência da computação
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: joan.boada@urv.cat andreu.vigil@urv.cat
    Identificador de l'autor: 0000-0002-1907-6887 0000-0003-3818-4514
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://mhealth.jmir.org/2018/1/e24/
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Jmir Mhealth And Uhealth. 6 (1): e24-e24
    Referència de l'ítem segons les normes APA: Adawi M, Bragazzi NL, Argumosa-Villar L, Boada-Grau J, Vigil-Colet A, Yildirim C, Del Puente G, Watad A. (2018). Translation and Validation of the Nomophobia Questionnaire in the Italian Language: Exploratory Factor Analysis. Jmir Mhealth And Uhealth, 6(1), e24-e24. DOI: 10.2196/mhealth.9186
    DOI de l'article: 10.2196/mhealth.9186
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2018
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Health Care Sciences & Services,Health Informatics,Medical Informatics
    Questionnaire validation
    Psychometric properties
    Nomophobia
    Exploratory factor analysis
    psychometric properties
    nomophobia
    exploratory factor analysis
    Saúde coletiva
    Medical informatics
    Health informatics
    Health care sciences & services
    Ciência da computação
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