Construcción, fiabilidad y evidencias de validez de una escala para medir el uso de las nuevas tecnologías por los psicólogos españoles.
Resumen
En este estudio presentamos la construcción y análisis de un cuestionario para medir el uso de las nuevas tecnologías (NNTT) por los profesionales de la psicología, basándonos en una muestra de 1759 psicólogos y psicólogas. El conjunto de 36 ítems fue generado a partir de una revisión bibliográfica sobre las nuevas tecnologías aplicadas a la psicología. El análisis factorial exploratorio de los ítems seleccionados, basado en la muestra aleatorizada (n = 853), indicó la presencia de 5 factores: 1.- Almacenamiento online; 2.- Uso de herramientas básicas de ofimática e internet; 3.- Vías de comunicación con el paciente; 4.- Conocimiento básico y avanzado de lenguajes de programación y evaluación; 5.- Intervención psicológica mediante NNTT. La validez de la estructura fue apoyada por el análisis factorial confirmatorio efectuado con la muestra restante (n = 906). Los resultados sobre fiabilidad de la escala (consistencia interna) fueron adecuados. Se encuentran diferencias significativas por sexo, los hombres obtienen mayor puntuación tanto en el factor 1 como en el 3. El cuestionario desarrollado es un instrumento válido y fiable para medir el constructo planteado.
Descargas
Citas
Ak, S., Koruklu, N., & Yilmaz, Y. (2013). A study on Turkish adolescent´s internet use: possible predictors of internet addiction. Cyberpsychology, Behavior, and Social Networking, 16, 205-209.
American Psychological Association (APA) (2013). Guidelines for the practice of telepsychology. American Psychologist, 68(9), 791–800. https://doi.org/10.1037/a0035001
Andersson, G., Carlbring, P., & Lindefors, N. (2016). History and Current Status of ICBT. Guided Internet-Based Treatments in Psychiatry, 1–16. https://doi.org/10.1007/978-3-319-06083-5_1
Banbury, A., Nancarrow, S., Dart, J., Gray, L., & Parkinson, L. (2018). Telehealth Interventions Delivering Home-based Support Group Videoconferencing: Systematic Review. Journal of Medical Internet Research, 20(2), e25. https://doi.org/10.2196/jmir.8090
Bandalos, D. L. , & Finney, S. J. (2018). Factor Analysis. The Reviewer’s Guide to Quantitative Methods in the Social Sciences, 98–122. https://doi.org/10.4324/9781315755649-8
Barak, A. (2007). Emotional support and suicide prevention through the Internet: A field project report. Computers in Human Behavior, 23(2), 971–984. https://doi.org/10.1016/j.chb.2005.08.001
Barak, A., Hen, L., Boniel-Nissim, M., & Shapira, N. (2008). A Comprehensive Review and a Meta-Analysis of the Effectiveness of Internet-Based Psychotherapeutic Interventions. Journal of Technology in Human Services, 26(2-4), 109–160. https://doi.org/10.1080/15228830802094429
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3, 77-85.
Beidel, D. C., Frueh, B. C., Neer, S. M., & Lejuez, C. W. (2017). The efficacy of Trauma Management Therapy: A controlled pilot investigation of a three-week intensive outpatient program for combat-related PTSD. Journal of Anxiety Disorders, 50, 23–32. https://doi.org/10.1016/j.janxdis.2017.05.001
Bentler, P. M. (1977). Factor simplicity index and transformations. Psychometrika, 59, 567-579. https://doi.org/10.1007/bf02294054
Botella, C., Fernández-Álvarez, J., Guillén, V., García-Palacios, A., & Baños, R. (2017). Avances recientes en la terapia de exposición a la realidad virtual para las fobias: una revisión sistemática. Current Psychiatry Reports. 19:42. https://doi.org/10.1007/s11920-017-0788-4
Bouchard, S., Dumoulin, S., Robillard, G., Guitard, T., Klinger, É., Forget, H., Loranger, C., & Roucaut, F. X. (2017). Virtual reality compared with in vivo exposure in the treatment of social anxiety disorder: A three-arm randomized controlled trial. British Journal of Psychiatry, 210(4), 276–283. https://doi.org/10.1192/bjp.bp.116.184234
Brown, S. A. (2005). Measuring perceived benefits and perceived barriers for physical activity. American Journal of Health Behavior, 29(2), 107–116. https://doi.org/10.5993/AJHB.29.2.2
Byrne, B. M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
Calvo, M. E. (2019). Científicas e inventoras a través de los cuentos. IQUAL, 2, 147-170. https://doi.org/10.6018/iqual.340701
Chen, F. (2007). Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance. Structural Equation Modeling, 14, 464-504. https://doi.org/10.1080/10705510701301834.
Cohen, J. (1988). Statistical Power Analysis for the Behavioural Science (2nd Edition). In Statistical Power Anaylsis for the Behavioral Sciences. Laurence Erlbaum Associates.
Dueber, D. M. (2017). Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models. https://doi.org/10.13023/edp.tool.01 [Also available at http://sites.education.uky.edu/apslab/resources/]
Dunn, T. J., Baguley, T., & Brunsden, V. (2013). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 295-441. https://doi.org/10.1111/bjop.12046
Encinas, F. J. L., & González, S. M. V. (2010). Menores y nuevas tecnologías: conductas indicadoras de posible problema de adicción. Psicothema, 22(2), 180-188
Espinoza, M., Baños, R. M., García-Palacios, A., & Botella, C. (2013). La realidad virtual en las intervenciones psicológicas con pacientes oncológicos. Psicooncología, 10(2-3). https://doi.org/10.5209/rev_psic.2013.v10.n2-3.43447
Fernández, C. S., & Alcalde, J. B. F. (2015). No, sin mi móvil. Diferencias de género y uso de las nuevas tecnologías. ICONO 14, Revista de comunicación y tecnologías emergentes, 13(1), 208-246.
Fernández-Luque, L., & Bau, T. (2015). Health and Social Media: Perfect Storm of Information. Healthcare Informatics Research, 21(2), 67. https://doi.org/10.4258/hir.2015.21.2.67
Ferrando, P. J. & Lorenzo-Seva, U. (2014). El análisis factorial exploratorio de los ítems: algunas consideraciones adicionales. Anales de Psicología, 30(3), 1170-1175. https://doi.org/10.6018/analesps.30.3.199991
Ferrando, P. J. & Lorenzo-Seva, U. (2017). Program FACTOR at 10: Origins, development and future directions. Psicothema, 29(2), 236-240. https://doi.org/10.7334/psicothema2016.304
Finch, W. H. (2020). Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis. Educational and Psychological Measurement, 80(2), 217–241. https://doi.org/10.1177/0013164419865769
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Gackenbach, J. (2007). Introduction. Psychology and the Internet, 1–10. https://doi.org/10.1016/b978-012369425-6/50019-9
Gartner Symposium ITxpo (2013). https://www.gartner.com/en
Gassova, Z., & Werner-Wilson, R. J. (2018). Characteristics of e-therapy websites involving marriage and family therapists. American Journal of Family Therapy, 46(1), 27–43. https://doi.org/10.1080/01926187.2018.1428127
Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. PsycEXTRA Dataset. https://doi.org/10.1037/e537242013-005
Gorsuch, R. L. (2003). Factor analysis. In J. A. Schinka & W. F. Velicer (Eds.), Handbook of psychology: Research methods in psychology, Vol. 2 (pp. 143–164). John Wiley & Sons Inc.
Green, D. (2006). Ground rules in online psychotherapy (Doctoral dissertation). University London.
Hancock, G. R., & Mueller, R. O. (2001). Rethinking Construct Reliability within Latent Variable Systems. In R. Cudeck, S. du Toit, & D. S?rbom (Eds.), Structural Equation Modeling: Present und Future—A Festschrift in Honor of Karl Joreskog (pp. 195-216). Scientific Software International.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods, 6(1), 53-60. https://doi.org/10.21427/d7cf7r
Howard, M. C. (2015). A Review of Exploratory Factor Analysis Decisions and Overview of Current Practices: What We Are Doing and How Can We Improve? International Journal of Human-Computer Interaction, 32(1), 51–62. https://doi.org/10.1080/10447318.2015.1087664
IBM Corp. (2017). IBM SPSS Statistics for Windows. IBM Corp
Instituto Nacional de Estadística (INE) (2019). Encuesta sobre equipamiento y uso de tecnologías de información y comunicación en los hogares. Condiciones de vida. Nivel y condiciones de vida (IPC). INE. URL: https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176741&menu=ultiDatos&idp=1254735976608
Kaiser, H. F. (1970). A second generation little jiffy. Psychometrika, 35(4), 401-415.
Kazdin, A. E. (2015). Technology-based interventions and reducing the burdens of mental illness: perspectives and comments on the special series. Cognitive and Behavioral Practice, 22(3), 359-366. https://doi.org/10.1016/j.cbpra.2015.04.004
King, R., Bambling, M., Reid, W., & Thomas, I. (2006). Telephone and online counselling for young people: A naturalistic comparison of session outcome, session impact and therapeutic alliance. Counselling and Psychotherapy Research, 6(3), 175–181. https://doi.org/10.1080/14733140600874084
Kramer, G. M., & Luxton, D. D. (2016). Telemental Health for Children and Adolescents: An Overview of Legal, Regulatory, and Risk Management Issues. Journal of Child and Adolescent Psychopharmacology, 26(3), 198–203. https://doi.org/10.1089/cap.2015.0018
Kysely, A., Bishop, B., Kane, R., Cheng, M., De Palma, M., & Rooney, R. (2020). Expectations and Experiences of Couples Receiving Therapy Through Videoconferencing: A Qualitative Study. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02992
Lai, M. H., Maniam, T., Chan, L. F., & Ravindran, A. V. (2014). Caught in the Web: A Review of Web-Based Suicide Prevention. Journal of Medical Internet Research, 16(1), e30. https://doi.org/10.2196/jmir.2973
Lavorgna, L., Russo, A., De Stefano, M., Lanzillo, R., Esposito, S., Moshtari, F., Rullani, F., Piscopo, K., Buonanno, D., Brescia Morra, V., Gallo, A., Tedeschi, G., & Bonavita, S. (2017). Health-Related Coping and Social Interaction in People with Multiple Sclerosis Supported by a Social Network: Pilot Study With a New Methodological Approach. Interactive Journal of Medical Research, 6(2), e10. https://doi.org/10.2196/ijmr.7402
Lenhard, W. & Lenhard, A. (2016). Calculation of Effect Sizes. Retrieved from: https://www.psychometrica.de/effect_size.html. Dettelbach (Germany): Psychometrica. https://doi.org/10.13140/RG.2.2.17823.92329
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 381–5.
Lorenzo-Seva, U. (2003). A factor simplicity index. Psychometrika, 68, 49-60. https://doi.org/10.1007/bf02296652
Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer program to fi t the exploratory factor analysis model. Behavior Research Methods, 38(1), 88-91.
Lorenzo-Seva, U., & Ferrando, P. J. (2019). Robust Promin: A method for diagonally weighted factor rotation. Liberabit: Revista Peruana de Psicología, 25(1), 99–106. https://doi.org/10.24265/liberabit.2019.v25n1.0
Mallen, M. J., Day, S. X., & Green, M. A. (2003). Online versus face-to-face conversation: An examination of relational and discourse variables. Psychotherapy: Theory, Research, Practice, Training, 40(1-2), 155–163. https://doi.org/10.1037/0033-3204.40.1-2.155
Mallen, M. J., Vogel, D. L., & Rochlen, A. B. (2005). The Practical Aspects of Online Counseling. The Counseling Psychologist, 33(6), 776–818. https://doi.org/10.1177/0011000005278625
Mardia, K. V. (1970). Measures of Multivariate Skewness and Kurtosis with Applications. Biometrika, 57, 519-530. https://doi.org/10.1093/biomet/57.3.519
McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates.
Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide. Sixth Edition. Muthén & Muthén. Statmodel. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf
Osborne, J. W., Costello, A. B., & Kellow, J. T. (2014). Best practices in exploratory factor analysis (pp. 86-99). Louisville, KY: CreateSpace Independent Publishing Platform. https://doi.org/10.4135/9781412995627.d8
Palos-Sanchez, P., Reyes-Menendez, A., & Saura, J. R. (2019). Modelos de Adopción de Tecnologías de la Información y Cloud Computing en las Organizaciones. Información Tecnológica, 30(3), 3–12. https://doi.org/10.4067/s0718-07642019000300003
Perle, J. G., Langsam, L. C., & Nierenberg, B. (2011). Controversy clarified: An updated review of clinical psychology and tele-health. Clinical Psychology Review, 31(8), 1247–1258. https://doi.org/10.1016/j.cpr.2011.08.003
Peter, L., Reindl, R., Zauter, S., Hillemacher, T., & Richter, K. (2019). Effectiveness of an Online CBT-I Intervention and a Face-to-Face Treatment for Shift Work Sleep Disorder: A Comparison of Sleep Diary Data. International Journal of Environmental Research and Public Health, 16(17), 3081. https://doi.org/10.3390/ijerph16173081
Pujadas, M. M., & Machín, A. L. (2006). El correo electrónico en la relación médico-paciente: uso y recomendaciones generales. Atención primaria, 37(7), 413-417.
Putnick, D. L., & Bornstein, M. H. (2016). Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research. Developmental review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004
Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. https://doi.org/10.1037/a0029315
Richards, D., & Richardson, T. (2012). Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clinical psychology review, 32(4), 329-342. https://doi.org/10.1016/j.cpr.2012.02.004
Richards, D., & Timulak, L. (2013). Satisfaction with therapist-delivered vs. self-administered online cognitive behavioural treatments for depression symptoms in college students. British Journal of Guidance y Counselling, 41(2), 193–207. https://doi.org/10.1080/03069885.2012.726347
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: calculating and interpreting statistical indices. Psychological Methods 21, 137–150. https://doi.org/10.1037/met0000045
Shore, J. H., Hilty, D. M., & Yellowlees, P. (2007). Emergency management guidelines for telepsychiatry. General Hospital Psychiatry, 29(3), 199–206. https://doi.org/10.1016/j.genhosppsych.2007.01.013
Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence. BMC psychiatry, 19(1), 1-10.
Soto-Pérez, F., Franco, M., Monardes, C. y Jiménez, F. (2010). Internet y psicología clínica : revisión de las ciber-terapias. Revista de Psicopatología y Psicología Clínica, 15(1). https://doi.org/10.5944/rppc.vol.15.num.1.2010.4082
Spijkerman, M. P. J., Pots, W. T. M., & Bohlmeijer, E. T. (2016). Effectiveness of online mindfulness-based interventions in improving mental health: A review and meta-analysis of randomised controlled trials. Clinical Psychology Review, 45, 102–114. https://doi.org/10.1016/j.cpr.2016.03.009
Stoll, J., Müller, J. A., & Trachsel, M. (2020). Ethical Issues in Online Psychotherapy: A Narrative Review. Frontiers in Psychiatry, 10. https://doi.org/10.3389/fpsyt.2019.00993
Svetina, D., Rutkowski, L., & Rutkowski, D. (2019): Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages. Structural Equation Modeling: A Multidisciplinary Journal, 0, 1-20. https://doi.org/10.1080/10705511.2019.1602776
Tiainem, T., & Berki, E. (2019). The re-Production process of gender bias: A case of ICT professors through recruitment in a gender-neutral country. Studies in Higher Education, 44(1), 170-184. https://doi.org/10.1080/03075079.2017.1351428
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209–220. https://doi.org/10.1037/a0023353
Vaquerizo, E. J. (2019). Eficacia de las intervenciones online basadas en redes sociales para promover actividades físicas. Lecturas: Educación Física y Deportes, 24(251), 124-136.)
Viladrich, V., Angulo-Brunet, A., & Eduardo, D. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicología, 33(3), 755-782. https://doi.org/10.6018/analesps.33.3.268401
Villadangos, S. M., & Labrador, F. J. (2009). Menores y nuevas tecnologías (NT): uso o abuso. Anuario de Psicología Clínica y de la Salud, 5(1), 75-83.
Wallin, E. E. K., Mattsson, S., & Olsson, E. M. G. (2016). The preference for internet-based psychological interventions by individuals without past or current use of mental health treatment delivered online: a survey study with mixed-methods analysis. JMIR mental health, 3(2), e25. https://doi.org/10.2196/mental.5324
Wechsler, T. F., Kümpers, F., & Mühlberger, A. (2019). Inferiority or Even Superiority of Virtual Reality Exposure Therapy in Phobias? — A Systematic Review and Quantitative Meta-Analysis on Randomized Controlled Trials Specifically Comparing the Efficacy of Virtual Reality Exposure to Gold Standard in vivo Exposure in Agoraphobia, Specific Phobia, and Social Phobia. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01758
Witt, K., Spittal, M. J., Carter, G., Pirkis, J., Hetrick, S., Currier, D., … Milner, A. (2017). Effectiveness of online and mobile telephone applications (“apps”) for the self-management of suicidal ideation and self-harm: a systematic review and meta-analysis. BMC Psychiatry, 17(1). https://doi.org/10.1186/s12888-017-1458-0
Wittkopf, P. G., Lloyd, D. M., & Johnson, M. I. (2018). Managing limb pain using virtual reality: a systematic review of clinical and experimental studies. Disability and Rehabilitation, 41(26), 3103–3117. https://doi.org/10.1080/09638288.2018.1485183
Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6
Zaccaria, D., Casanova, G., & Guaita, A. (2019). Impact of ICT and social networks sites utilization on older people’s well-being and loneliness: a scoping review. Innovation in Aging, 3(Supplement_1), S530–S530. https://doi.org/10.1093/geroni/igz038.1949
Derechos de autor 2023 Servicio de Publicaciones, Universidad de Murcia (España)
Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.
Las obras que se publican en esta revista están sujetas a los siguientes términos:
1. El Servicio de Publicaciones de la Universidad de Murcia (la editorial) conserva los derechos patrimoniales (copyright) de las obras publicadas, y favorece y permite la reutilización de las mismas bajo la licencia de uso indicada en el punto 2.
© Servicio de Publicaciones, Universidad de Murcia, 2024
2. Las obras se publican en la edición electrónica de la revista bajo una licencia Creative Commons Reconocimiento-CompartirIgual 4.0 Internacional (texto legal). Se pueden copiar, usar, difundir, transmitir y exponer públicamente, siempre que: i) se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra); ii) no se usen para fines comerciales; iii) se mencione la existencia y especificaciones de esta licencia de uso.
3. Condiciones de auto-archivo. Se permite y se anima a los autores a difundir electrónicamente las versiones pre-print (versión antes de ser evaluada y enviada a la revista) y/o post-print (versión evaluada y aceptada para su publicación) de sus obras antes de su publicación, ya que favorece su circulación y difusión más temprana y con ello un posible aumento en su citación y alcance entre la comunidad académica. Color RoMEO: verde.