Fiabilidad y validez del cuestionario para evaluar la nomofobia (QANP)
DOI:
https://doi.org/10.24310/espsiescpsi.v12i2.9982Palabras clave:
Fiabilidad, validez de constructo, nomofobiaResumen
Antecedentes: El verdadero significado de la nomofobia parece estar oculto en los estudios que evalúan este trastorno. Existe un creciente interés en profundizar en el estudio de la nomofobia, sin embargo, las herramientas de medición disponibles desarrolladas hasta ahora parecen centrarse solo en el abuso y / o adicción a los teléfonos móviles. Por ello, el objetivo de este estudio objetivo proponer y validar un instrumento de medición de la nomofobia para la población española.
Método: Desarrollamos una escala con 11 ítems que fue administrada a 968 participantes de la población de Granada (España). En primer lugar se realizó un análisis factorial exploratorio y posteriormente se realizó un análisis factorial confirmatorio.
Resultados: El análisis factorial exploratorio reveló una estructura de tres factores. El factor 1 (abuso de teléfonos móviles) está compuesto por cinco ítems y explica un 19% de la varianza; Factor 2 (Pérdida de control) incluye tres ítems y explica el 12% de la varianza y Factor 3 (Consecuencias negativas) contiene tres ítems y explica el 10% de la varianza. El valor del coeficiente de fiabilidad Alpha de Cronbach fue 0.80.
Limitaciones: La nomofobia es un trastorno moderno que aún no se ha clasificado como patología, las medidas de autoinforme presentas respuestas sesgadas por lo que podemos encontrar algún error o sesgo.
Conclusión: QANP es una escala fiable y válida y proporciona a los investigadores una forma de medir la nomofobia para futuros estudios en la población española.
Descargas
Métricas
Citas
Aggarwal, K. K., (2010). Twenty-six percent doctors suffer from severe mobile phone-induced anxiety: excessive use of mobile phone can be injurious to your health. International Journal Clinical Practice, 24, 7-9.
Ali, M., Asim, M., Danish, S. H., Ahmad, F., Iqbal, A., & Hasan, S. D. (2014). Frequency of De Quervain's tenosynovitis and its association with SMS texting. Muscles, Ligaments and Tendons Journal, 4, 74-78. https://doi.org/10.11138/mltj/2014.4.1.074
American Psychiatric Association (APA). (1980). Diagnostic and Statistical Manual of Mental Disorders (3ª ed.) (DSM-III). Washington, DC: APA,
American Psychiatric Association (APA). (2002). Diagnostic and Statistical Manual of Mental Disorders IV-TR (DSM-IV-TR). Washington, DC: APA.
American Psychiatric Association (APA, 2013). (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Washington, DC: APA, 2013. https://doi.org/10.1176/appi.books.9780890425596
Asensio-Chico, I., Díaz-Maldonado, L., & Garrote-Moreno, L. (2018). Nomophobia: Disorder of the 21st Century. Semergen, 44, 117-e118. https://doi.org/10.1016/j.semerg.2018.05.002
Ba?, G., Kubiatko, M., & Sünbül, A.M. (2016). Teachers' perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Computer Human Behaviour, 61, 176-185. https://doi.org/10.1016/j.chb.2016.03.022
Beranuy-Fargues, M., Chamarro-Lusar, A., Graner-Jordania, C., & Carbonell-Sánchez, X. (2009). Validation of two brief scales for internet addiction and mobile phone problem use. Psicothema, 21, 480-485.
Bianchi, A., & Phillips, J.G., (2005). Psychological predictors of problem mobile phone use. Cyberpsychology Behaviour, 8, 39-51. https://doi.org/10.1037/t58633-000
Billieux, J., Gay, P., Rochat, L., & Van Der Linden, M. (2010). The role of urgency and its underlying psychological mechanisms in problematic behaviours. Behavior Research Therapy, 48, 1085-1096. https://doi.org/10.1016/j.brat.2010.07.008
Billieux, J., Van, D.L., & Rochat, L. (2008). The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology, 22, 1195-1210. https://doi.org/10.1002/acp.1429
Bragazzi, N.L., & Del Puente, G. (2014). A proposal for including nomophobia in the new DSM-5. Psychology Research and Behavior Management, 16, 155-160. https://doi.org/10.2147/PRBM.S41386
Cattell, R.B. (1988). The meaning and strategic use of factor analysis. In J.R. Nesselroade and R.B. Cattell (eds.) Handbook of multivariate experimental psychology (pp.131-203). New York: Plenum Press. https://doi.org/10.1007/978-1-4613-0893-5_4
Cheung, L. M., & Wong, W. S. (2011). The effects of insomnia and internet addiction on depression in Hong Kong Chinese adolescents: An exploratory cross-sectional analysis. Journal of Sleep Research, 20, 311-317. https://doi.org/10.1111/j.1365-2869.2010.00883.x
Cho?liz, M. (2010). Mobile phone addiction: a point of issue. Addiction, 105, 373-374. https://doi.org/10.1111/j.1360-0443.2009.02854.x
Chóliz, M. (2012). Mobile-phone addiction in adolescence: The test of mobile phone dependence (TMD). Program in Health Science, 2, 33-44.
Chóliz, M., Pinto, L., Phansalkar, S.S., Corr, E., Mujjahid, A., Flores, C., & Barrientos, P.E. (2016). Development of a Brief Multicultural Version of the Test of Mobile Phone Dependence (TMD brief) Questionnaire. Frontiers in Psychology, 25, 1-10. https://doi.org/10.3389/fpsyg.2016.00650
Churchill, J.R.G.A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16, 64-73. https://doi.org/10.2307/3150876
Clark, L., & Limbrick-Oldfield, E. H. (2013). Disordered gambling: a behavioral addiction. Current Opinion Neurobiology, 23, 655-659. https://doi.org/10.1016/j.conb.2013.01.004
Contreras-Rodríguez, O., Albein-Urios, N., Vilar-López, R., Perales, J. C., Martínez-González, J. M., Fernández-Serrano, M. J., Lozano-Rojas, O., Clarke, L., & Verdejo-García, A., (2016). Increased corticolimbic connectivity in cocaine dependence versus pathological gambling is associated with drug severity and emotion-related impulsivity. Addiction Biology, 21, 709-718. https://doi.org/10.1111/adb.12242
Cronbach, L.J., (1949). Essentials of psychological testing, Harper: Oxford, UK,
De-Sola, J., Rodríguez-De Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 175, 1-15. https://doi.org/10.3389/fpsyt.2016.00175
Dixit, S., Shukla, H., Bhagwat, A., Bindal, A., Goyal, A., Zaidi, A.K., & Shrivastava, A. (2010). A study to evaluate mobile phone dependence among students of a medical college and associated hospital of central India. Indian Journal Community Medicine, 35, 339-341. https://doi.org/10.4103/0970-0218.66878
Fabrigar, L.R., Wegener, D.T., Maccallum, R.C., & Strahan, E.J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299. https://doi.org/10.1037/1082-989X.4.3.272
Ferrando, P.J., & Anguiano-Carrasco, C. (2010). El Análisis factorial como técnica de investigación en psicología. Papeles del Psicólogo, 31, 18-33.
Fletche, T.D. (2010). Psychometric. Applied Psychometric Theory. R package version 2.2. http://CRAN.R-project.org/package=psychometric (Acceded 9 Sep 2016).
Foerster, M., Roser, K., Schoeni, A., & Röösli, M. (2015). Problematic mobile phone use in adolescents: Derivation of a short scale MPPUS-10. International Journal of Public Health, 60, 277-286. https://doi.org/10.1007/s00038-015-0660-4
Forgays, D.K., Hyman, I., & Schreiber, J. (2014). Texting everywhere for everything: Gender and age differences in cell phone etiquette and use. Computer Human Behaviour, 2, 314-321. https://doi.org/10.1016/j.chb.2013.10.053
Gao, T., Li, J., Zhang, H., Gao, J., Kong, Y., Hu, Y., & Mei, S. (2018). The influence of alexithymia on mobile phone addiction: The role of depression, anxiety and stress. Journal Affective Disorders, 225, 761-766. https://doi.org/10.1016/j.jad.2017.08.020
Güzeller, C.O., & Co?guner, T. (2012). Development of a problematic mobile phone use scale for Turkish adolescents. Cyberpsychology Behaviour Social Networking, 15, 205-211. https://doi.org/10.1089/cyber.2011.0210
Ha, J.H., Chin, B., Park, D.H., Ryu, S.H., & Yu, J. (2008). Characteristics of excessive celular phone use in Korean adolescents. Cyberpsychology Behaviour Social Networking, 11, 783-784. https://doi.org/10.1089/cpb.2008.0096
Igarashi, T., Motoyoshi, T., Takai, J., & Yoshida, T. (2008). No mobile, no life: Self-perception and text-message dependency among Japanese high school students. Computers Human Behavior, 24, 2311-2324. https://doi.org/10.1016/j.chb.2007.12.001
Ishii, K. (2004). Internet use via mobile phone in Japan. Telecommunications Policy, 28, 43-58. https://doi.org/10.1016/j.telpol.2003.07.001
Jenaro, C., Flores, N., Gómez-Vela, M., González-Gil, F., & Caballo, C. (2007). Problematic internet and cell-phone use: Psychological behavioral, and health correlates. Addictive Research Theory, 15, 309-320. https://doi.org/10.1080/16066350701350247
Kelley, T.L., (1935). Essential Traits of Mental Life, Harvard Studies in Education, Harvard University Press: Cambridge, UK.
King, A.L.S., Valença, A.M., Silva, A.C., Sancassiani, F., Machado, S., & Nardi, A.E. (2014). Nomophobia: Impact of cell phone use interfering with symptoms and emotions of individuals with panic disorder compared with a control group. Clinical Practice & Epidemiology Mental Health, 10, 28-35. https://doi.org/10.2174/1745017901410010028
Kline, P. (1994). An easy guide to factor analysis. Routledge: New York, USA.
Kuss, D.J., & Griffiths, M.D. (2016). Online social networking and addiction a review of the psychological literature. International Journal Environmental Research and Public Health, 8, 3528-3552. https://doi.org/10.3390/ijerph8093528
Kwon, M., Lee, J.Y., Won, W.Y., Park, J.W., Min, J.A., Hahn, C., Gu, X., Choi, J.H., & Kim, D.J. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS One. 8(2): e56936. https://doi.org/10.1371/journal.pone.0056936
Leeman, R. F., & Potenza, M. N. (2013). A targeted review of the neurobiology and genetics of behavioural addictions: An emerging area of research. Canadian Journal Psychiatry, 58, 260-273. https://doi.org/10.1177/070674371305800503
Lin, Y. H., Lin, S. H., Li, P., Huang, W. L., & Chen, C. Y. (2013). Prevalent hallucinations during medical internships: phantom vibration and ringing syndromes. PLoS One, 8(6): e65152. https://doi.org/10.1371/journal.pone.0065152
Loevinger, J. (1948). The Technique of Homogeneous Tests Compared with Some Aspects of ‘Scale Analysis’ and Factor Analysis. Psychological Bulletin, 45, 507-530. https://doi.org/10.1037/h0055827
Leung, L. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal Child Media, 2, 93-113. https://doi.org/10.1080/17482790802078565
López-Fernández, O., Honrubia-Serrano, M., & Freixa-Blanxart, M. (2012). Adaptación española del "Mobile Phone Problem Use Scale" para población adolescente. Adicciones. 24, 123-130. https://doi.org/10.20882/adicciones.104
Marlatt, G. A., Baer, J. S., Donovan, D. M., & Kivlahan, D. R. (1988). Addictive behaviors: Etiology and treatment. Annual Review Psychology, 39, 223-252. https://doi.org/10.1136/bmjopen-2013-003440
Martinotti, G., Villella C., Di Thiene, D., Di Nicola, M., Bria, P., Conte, G., Cassano, M., Corcasce, F., Janiri, L., & La Torre, G., (2011). Problematic mobile phone use in adolescence: A cross-sectional study. Journal Public Health, 19, 545-561. https://doi.org/10.1007/s10389-011-0422-6
Mcdonald, R.P. (1985). Factor analysis and related methods, Hillsdale, LEA: New Jersey, NY. USA
Mentzoni, R. A., Brunborg, G. S., Molde, H., Myrseth, H., Mår Skouverøe, K. J., Hetland, J., & Pallesen, S. (2011). Problematic video game use: Estimated prevalence and associations with mental and physical health. Cyberpsychology Behavior and Social Networking, 14, 591-596. https://doi.org/10.1089/cyber.2010.0260
Merlo, L.J., Stone, A.M., & Bibbey, A. (2011). Measuring problematic mobile phone use: Development and preliminary psychometric properties of the PUMP scale. Journal Addiction, 1-7, 912807. https://doi.org/10.1155/2013/912807
Mokken, R. J., (1971). A Theory and Procedure of Scale Analysis with Applications in Political Research, De Gruyter: New York, USA. https://doi.org/10.1515/9783110813203
Molenaar, I. W., & Sijtsma, K. (1988). Mokken's approach to reliability estimation extended to multicategory items. Kwantitatieve Methoden, 9, 115-126.
Morissette, A., Ouellet-Plamondon, C., & Jutras-Aswad, D. (2014). Craving as a core symptom in substance use disorders: Epidemiology, neurobiological substrates and clinical relevance. Sante Mentale Quebec, 39, 21-37. https://doi.org/10.7202/1027830ar
Movvahedi, M.M., Tavakkoli-Golpayegani, A., Mortazavi, S.A., Haghani, M., Razi, Z., Shojaie-Fard, M.B., Zare, M., Mina, E., Mansourabadi, L., Nazari-Jahromi, S. A.; Shokrpour, N., & Mortazavi, S.M. (2014). Does exposure to GSM 900 MHz mobile phone radiation affect short-term memory of elementary school students? Journal Pediatric Neuroradiology, 9, 121-124. https://doi.org/10.4103/1817-1745.139300
Müller, K.W., Koch, A., Dickenhorst, U., Beutel, M. E., Duven, E., & Wölfling, K. (2013). Addressing the question of disorder-specific risk factors of internet addiction: A comparison of personality traits in patients with addictive behaviors and comorbid internet addiction. Biomedicine Research International, 546342, 1-7. https://doi.org/10.1155/2013/546342
Nagpal, S.S., & Kaur, R., (2016). Nomophobia: The problem lies at our fingertips. Indian Journal of Health & Wellbeing, 12, 1135-1139.
Navas, J. F., Billieux, J., Perandrés-Gómez, A., López-Torrecillas, F., Cándido, A., & Perales, J. C. (2017). Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status. International Gambling Studies, 17, 102-124. https://doi.org/10.1080/14459795.2016.1275739
Pedrero-Pérez, E. J., Rodríguez-Monje, M. T., & Ruiz-Sánchez- De León, J. M., (2012). Mobile phone abuse or addiction. A review of the literature. Adicciones, 24, 139-152. https://doi.org/10.20882/adicciones.107
Peirce, J. M., Brooner, R. K., Kolodner, K., Schacht, R. L., & Kidorf, M. S. (2013). Prospective effects of traumatic event re-exposure and post-traumatic stress disorder in syringe exchange participants. Addiction, 108, 146-153. https://doi.org/10.1111/j.1360-0443.2012.04003.x
Ozturk, F. O., Ekinci, M., Ozturk, O., & Canan, F. (2013). The relationship of affective temperament and emotional-behavioral difficulties to internet addiction in Turkish teenagers. International Scholarly Research Notices Psychiatry, 28, 1-6. http://dx.doi.org/10.1155/2013/961734.
Revelle, W. (2015). Psych: Procedures for Personality and Psychological Research, Northwestern University Evanston: Illinois, USA. http://CRAN.R-project.org/package=psych Version = 1.5.8. (Accessed 7 Ene 2017).
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48, 1-36. https://doi.org/10.18637/jss.v048.i02
Ruiz, M.A., Pardo, A., & San Martín, R. (2010). Modelos de Ecuaciones Estructurales. Papeles del Psicólogo. 31, 18-33.
Rutland, J.B., Sheets, T., & Young, T., (2007). Development of a scale to measure problem use of short message service: the SMS Problem Use Diagnostic Questionnaire. Cyberpsychology and Behavior, 10, 841-843. https://doi.org/10.1089/cpb.2007.9943
Sánchez-Carbonell, X., Beranuy, M., Castellana, M., Chamarro, A., & Oberst, U. (2008). La adicción a Internet y al móvil: ¿moda o trastorno? Adicciones, 20, 149-160. https://doi.org/10.20882/adicciones.279
Stothart, C., Mitchum, A., & Yehnert, C. (2015). The attentional cost of receiving a cell phone notification. The Journal Experimental Psychology Human Perceptual Performance, 41, 893-897. https://doi.org/10.1037/xhp0000100
Szyjkowska, A., Gadzicka, E., Szymczak, W., & Bortkiewicz, A. (2014). The risk of subjective symptoms in mobile phone users in Poland: An epidemiological study. International Journal Environmental Research and Public Health, 2, 293-303. https://doi.org/10.2478/s13382-014-0260-1
Reed, K., Day, E., Keen, J., & Strang, J. (2015). Pharmacological treatments for drug misuse and dependence. Expert Opinion Pharmacotherapy Journal, 16, 325-333. https://doi.org/10.1517/14656566.2015.983472
Toda, M., Monden, K., Kubo, K., & Morimoto, K. (2004). Cellular phone dependence tendency of female university students. Japanese Journal of Hygiene, 59, 383-86. https://doi.org/10.1265/jjh.59.383
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health, 11, 66-77. http://dx.doi.org/10.1186/1471-2458-11-66.
Van Der Ark, L. A. (2012). New Developments in Mokken Scale Analysis in R. Journal of Statistical Software. 48, 1-27. https://doi.org/10.18637/jss.v048.i05
Van Schuur, W. H. (2003). Mokken Scale Analysis: Between the Guttman Scale and Parametric Item Response Theory. Political Analyst, 11, 139-163. https://doi.org/10.1093/pan/mpg002
Verma, R. K., Rajiah, K., Cheang, A., & Barua, A. (2014). Textaphrenia: An emerging silent pandemic. African Journal Psychiatry, 17, 510-511. https://doi.org/10.4172/Psychiatry.1000e103
Višnji?, A., Veli?kovi?, V., Sokolovi?, D., Stankovi?, M., Mijatovi?, K., Stojanovi?, M., Miloševi?, Z., & Radulovi?, O. (2018). Relationship between the Manner of Mobile Phone Use and Depression, Anxiety, and Stress in University Students. International Journal Environmental Research and Public Health, 15, 697-708. https://doi.org/10.3390/ijerph15040697
Yen, C.F., Tang, T.C., Yen, J.Y., Lin, H.C., Huang, C.F., Liu, S.C., & Ko, C.H. (2009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 32, 863-873. https://doi.org/10.1016/j.chb.2015.02.059
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. https://doi.org/10.1016/j.chb.2015.02.059
Walsh, S.P., White, K.M., & Young, R. (2010). Needing to connect: The effect of self and others on young people's involvement with their mobile phones. Australian Journal of Psychology, 62, 194-203. https://doi.org/10.1080/00049530903567229
Walther, B., Morgenstern, M., & Hanewinkel, R. (2012). Co-occurrence of addictive behaviours: Personality factors related to substance use, gambling and computer gaming. European Addiction Research, 18,167-174. https://doi.org/10.1159/000335662
Weinstein, A., & Lejoyeux, M. (2015). New developments on the neurobiological and pharmaco-genetic mechanisms underlying internet and videogame addiction. American Journal of Addiction, 24, 117-125. https://doi.org/10.1111/ajad.12110
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Todos los contenidos publicados en Escritos de Psicología están sujetos a la licencia Creative Commons Reconocimento-NoComercia-Compartirigual 4.0 cuyo texto completo puede consultar en <http://creativecommons.org/licenses/by-nc-sa/4.0>
Se pueden copiar, usar, difundir, transmitir y exponer públicamente, siempre que:
- Se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra).
- No se usen para fines comerciales.
- Se mencione la existencia y especificaciones de esta licencia de uso.
Los derechos de autor son de dos clases: morales y patrimoniales. Los derechos morales son prerrogativas perpetuas, irrenunciables, intransferibles, inalienables, inembargables e imprescriptibles. De acuerdo con la legislación de derechos de autor, Escritos de Psicología reconoce y respeta el derecho moral de los autores/as, así como la titularidad del derecho patrimonial. Los derechos patrimoniales, se refieren a los beneficios que se obtienen por el uso o divulgación de las obras. Escritos de Psicología se publica en open access y queda autorizada en exclusiva para realizar u autorizar por cualquier medio el uso, distribución, divulgación, reproducción, adaptación, traducción o transformación de la obra.
Es responsabilidad de los autores/as obtener los permisos necesarios de las imágenes que están sujetas a derechos de autor.