Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana
El Índice de Bienestar Familiar (FMWB por sus siglas en inglés) es un instrumento ampliamente utilizado, sin embargo no se ha probado ninguna estructura latente mediante ningún análisis factorial. El objetivo de este estudio fue comprobar el ajuste de los modelos de 4 factores de la FMWB en una mues...
- Autores:
-
Martínez, Nicolás
Rodríguez-Alcántara, Raquel
Bermúdez-Jaimes, Milton
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/28983
- Acceso en línea:
- https://hdl.handle.net/10819/28983
https://doi.org/10.21500/20112084.6889
- Palabra clave:
- Colombia
Family-Well-Being-Index
Bi-factor-model
psychometric-study
Family-studies
Colombia
Indice de bienestar familiar
Modelo bifactorial
estudios psicometricos
estudios de familia
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- openAccess
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| dc.title.spa.fl_str_mv |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| dc.title.translated.spa.fl_str_mv |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| title |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| spellingShingle |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana Colombia Family-Well-Being-Index Bi-factor-model psychometric-study Family-studies Colombia Indice de bienestar familiar Modelo bifactorial estudios psicometricos estudios de familia |
| title_short |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| title_full |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| title_fullStr |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| title_full_unstemmed |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| title_sort |
Examen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombiana |
| dc.creator.fl_str_mv |
Martínez, Nicolás Rodríguez-Alcántara, Raquel Bermúdez-Jaimes, Milton |
| dc.contributor.author.eng.fl_str_mv |
Martínez, Nicolás Rodríguez-Alcántara, Raquel Bermúdez-Jaimes, Milton |
| dc.subject.eng.fl_str_mv |
Colombia Family-Well-Being-Index Bi-factor-model psychometric-study Family-studies |
| topic |
Colombia Family-Well-Being-Index Bi-factor-model psychometric-study Family-studies Colombia Indice de bienestar familiar Modelo bifactorial estudios psicometricos estudios de familia |
| dc.subject.spa.fl_str_mv |
Colombia Indice de bienestar familiar Modelo bifactorial estudios psicometricos estudios de familia |
| description |
El Índice de Bienestar Familiar (FMWB por sus siglas en inglés) es un instrumento ampliamente utilizado, sin embargo no se ha probado ninguna estructura latente mediante ningún análisis factorial. El objetivo de este estudio fue comprobar el ajuste de los modelos de 4 factores de la FMWB en una muestra colombiana, país en el que la escala ha sido utilizada en los últimos 8 años. Se realizó un estudio instrumental, se obtuvo una muestra de 524 familias. Los datos se analizaron organizando la respuesta en un arreglo matricial univariado y multivariado, utilizando el software factor y R se probaron los modelos, el modelo de mejor ajuste fue el modelo bifactor (χ2 = 404.127, gl = 228, CFI = 0.958, TLI = 0,949, RMSEA= 0,047, SRMR= 0,055). Los resultados sugieren que el modelo bifactor es el mejor modelo que explica la estructura latente del FMWB. Se necesita más investigación para obtener más evidencias de validez que puedan ayudar a justificar correctamente las puntuaciones obtenidas con esta escala. |
| publishDate |
2025 |
| dc.date.accessioned.none.fl_str_mv |
2025-05-22T14:24:40Z 2025-08-22T16:59:28Z |
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2025-05-22T14:24:40Z 2025-08-22T16:59:28Z |
| dc.date.issued.none.fl_str_mv |
2025-05-22 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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Journal article |
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10.21500/20112084.6889 |
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2011-7922 |
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2011-2084 |
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https://hdl.handle.net/10819/28983 |
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https://doi.org/10.21500/20112084.6889 |
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10.21500/20112084.6889 2011-7922 2011-2084 |
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https://hdl.handle.net/10819/28983 https://doi.org/10.21500/20112084.6889 |
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eng |
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eng |
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https://revistas.usb.edu.co/index.php/IJPR/article/download/6889/5659 |
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29 |
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International Journal of Psychological Research |
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Adaptation and resilience in families of individuals with down syndrome living in Ireland. British Journal of Learning Disabilities, 46(3), 146-154. https://doi.org/10.1111/bld.12231 Casaburo, G., Yzaguirre, M., Subramaniam, S., & Holtrop, K. (2023). A Systematic Review of Family Stress Theory in Mental Health Research (2010–2020). Families in Society: The Journal of Contemporary Social Services. 1-13. DOI: 10.1177/10443894231152511 Chen, J. H., Huang, C. H., Wu, C. F., Jonson-Reid, M., & Drake, B. (2023). The Application of Family Stress Model to Investigating Adolescent Problematic Behaviors: The Moderating Role of Assets. Journal of Family and Economic Issues, 1-10. https://doi.org/10.1007/s10834-023-09902- Child, D. (2006). The essentials of factor analysis (3rd ed.). New York, NY: Continuum. Díaz-Bolaños, C. D., Rodríguez, J. C. & Rodríguez, I. R. (2018). Bienestar subjetivo, estrategias cognitivo-afectivas y familia. Revista INFAD de Psicología, 3(1), 179- 188. https://www.redalyc.org/journal/3498/349856428018/html/ Eagleson, K. J., McCombs, D., Gerlich, T. M., Justo, R. N., Kasparian, N. A., & Bora, S. (2023). Systematic Review of Instruments Assessing Psychosocial Adaptation and Outcomes Among Families of Children With Congenital Heart Disease. Journal of Pediatric Psychology, 48(6), 537-552. doi: 10.1093/jpepsy/jsad015 Ferrando, P.J., & Lorenzo-Seva, U. (2017). Program FACTOR at 10: origins, development and future directions. Psicothema, 29(2), 236-241. doi: 10.7334/psicothema2016.304 Ferrando, P. J., Lorenzo-Seva, U., Hernández-Dorado, A., & Muñiz, J. (2022). Decálogo para el Análisis Factorial de los Ítems de un Test. Psicothema, 34(1), 7 – 17 https://doi.org/10.7334/psicothema2021.456 Gómez, V., De Posada, C. V., Barrera, F., & Eduardo Cruz, J. (2007). Factores predictores de bienestar subjetivo en una muestra colombiana. Revista latinoamericana de Psicología, 39(2), 311-325. https://www.redalyc.org/pdf/805/80539208.pdf Hirschfeld, G., & Von Brachel, R. (2014). Improving Multiple-Group confirmatory factor analysis in R–A tutorial in measurement invariance with continuous and ordinal indicators. Practical Assessment, Research, and Evaluation, 19(7), 1-13. https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1319&context=pare Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.https://dx.doi.org/10.1080/10705519909540118 Ilias, K., Cornish, K., Park, M. S. A., Toran, H., & Golden, K. J. (2019). Risk and resilience among mothers and fathers of primary school age children with ASD in Malaysia: A qualitative constructive grounded theory approach. 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An Actor–Partner Interdependence analysis of the ABC-X stress model among clergy couples. Psychology of Religion and Spirituality, 8(1), 65-76. http://dx.doi.org/10.1037/rel0000031 Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press Leske, J. S. (2003). Comparison of family stresses, strengths, and outcomes after trauma and surgery. AACN Advanced Critical Care, 14(1), 33-41. DOI: 10.1097/00044067- 200302000-00005 Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://dx.doi.org/10.6018/analesps.30.3.199361 Kyriazos, T. A. (2018). Applied Psychometrics: Sample size and sample power considerations in Factor Analysis (EFA, CFA) and SEM in general. Psychology, 9(08), 2207-2230.https://doi.org/10.4236/psych.2018.98126 Krys, K., Capaldi, C. A., Zelenski, J. M., Park, J., Nader, M., Kocimska-Zych, A., Michalski, P. & Uchida, Y. (2021). Family well-being is valued more than personal well-being: A four-country study. Current Psychology, 40, 3332-3343. https://doi.org/10.1007/s12144-019-00249-2 Martín-Carbonell, M., Riquelme-Marín, A., Fernández-Daza, M., Ortigosa-Quiles, J. M., & Méndez-Mateo, I. (2022). Exploring the Psychometric Properties of the Questionnaire on Family Members Adapting to an Older Adult’s Admission to a Nursing Home (CAFIAR- 15) in a Colombian Sample. Behavioral Sciences, 12(1), 1-15. https://doi.org/10.3390/bs12010004 Martínez Ramos, N., Cárdenas Niño, L., & Aguirre Acevedo, D. C. (2022). Colombian Adaptation of the Self-Compassion Scale (SCS). Psicothema.34(4). 621- 630. https://doi.org/10.7334/psicothema2022.86. Matsunaga, M. (2010). How to Factor-Analyze Your Data Right: Do's, Don'ts, and How- To's. 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McCubbin Resilience ORG. (2023). Resilience, Adaptation and Well-being, Measures. https://www.mccubbinresilience.org/measures.html McNulty, P. A. F. (2010). Adaptability and Resiliency of Military Families During Reunification: Initial Results of a Longitudinal Study. Federal Practitioner, 30, 18- 27. https://cdn.mdedge.com/files/s3fs-public/Document/September- 2017/027030018.pdf Mussatto, K. A., Van Rompay, M. I., Trachtenberg, F. L., Pemberton, V., Young- Borkowski, L., Uzark, K., Hollenbeck-Pringle, D., Dunbar-Masterson, C., Infinger, P., Walter, P. & Sawin, K. (2021). Family function, quality of life, and well-being in parents of infants with hypoplastic left heart syndrome. Journal of family nursing, 27(3), 222-234. doi: 10.1177/1074840720987309 Muñiz, J. (2010). Test Theories: Classical Theory and Item Response Theory. Papeles Del Psicólogo, 31(1), 57–66. https://www.papelesdelpsicologo.es/pdf/1796.pdf. Pasquale, M. A., Pasquale, M. D., Baga, L., Eid, S., & Leske, J. (2010). 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A., Sánchez, J. E., Cantor Jiménez, J., & Roncancio Moreno, M. (2021b). Factores de resiliencia y bienestar en familias colombianas. Interdisciplinaria, 38(3), 117-138. https://doi.org/10.16888/interd.2021.38.3.7 Seo-La, I. S., Scharf, B., Zhu, S., Mooney-Doyle, K., Friedmann, E., & Wiegand, D. L. (2020). Family Bereavement Adaptation After Death of a Loved One in an Intensive Care Unit: Impact of Race/Ethnicity. Journal of Hospice & Palliative Nursing, 22(6), 512-522. DOI: 10.1097/NJH.0000000000000705 Sharma, R. (2013). The family and family structure classification redefined for the current times. Journal of family medicine and primary care, 2(4), 306-310. doi: 10.4103/2249-4863.123774 Soland, J., & Kuhfeld, M. (2022). Examining the performance of the trifactor model for multiple raters. Applied Psychological Measurement, 46(1), 53-67. DOI:10.1177/01466216211051728 Suárez-Álvarez, J., Pedrosa, I., Lozano, L. M., García Cueto, E., Cuesta, M., & Muñiz, J. (2018). 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BMC Public Health, 21(1), 1-13. https://doi.org/10.1186/s12889-021-11297-4 Walsh, F. (2016). Strengthening family resilience (3rd ed.). New York, NY: Guilford Press. Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/0095798418771807 William Revelle (2023). psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. R package version 2.3.9, https://CRAN.R-project.org/package=psych. Wong, M. M., Ma, J. L., Wan, P. S., Xia, L. L., & Fok, M. H. (2022). The development and validation of a family Well-being Index for Hong Kong Chinese families. Journal of Child and Family Studies, 31(6), 1683-1697. https://doi.org/10.1007/s10826-022-02281-6 Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior research methods, 51(1), 409-428. https://doi.org/10.3758/s13428-018- 1055-2. Yves R. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. https://doi.org/10.18637/jss.v048.i02 Zhang, G., & Preacher, K. J. (2015). Factor rotation and standard errors in exploratory factor analysis. Journal of Educational and Behavioral Statistics, 40(6), 579-603. DOI:10.3102/1076998615606098 |
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Martínez, NicolásRodríguez-Alcántara, RaquelBermúdez-Jaimes, Milton2025-05-22T14:24:40Z2025-08-22T16:59:28Z2025-05-22T14:24:40Z2025-08-22T16:59:28Z2025-05-22El Índice de Bienestar Familiar (FMWB por sus siglas en inglés) es un instrumento ampliamente utilizado, sin embargo no se ha probado ninguna estructura latente mediante ningún análisis factorial. El objetivo de este estudio fue comprobar el ajuste de los modelos de 4 factores de la FMWB en una muestra colombiana, país en el que la escala ha sido utilizada en los últimos 8 años. Se realizó un estudio instrumental, se obtuvo una muestra de 524 familias. Los datos se analizaron organizando la respuesta en un arreglo matricial univariado y multivariado, utilizando el software factor y R se probaron los modelos, el modelo de mejor ajuste fue el modelo bifactor (χ2 = 404.127, gl = 228, CFI = 0.958, TLI = 0,949, RMSEA= 0,047, SRMR= 0,055). Los resultados sugieren que el modelo bifactor es el mejor modelo que explica la estructura latente del FMWB. Se necesita más investigación para obtener más evidencias de validez que puedan ayudar a justificar correctamente las puntuaciones obtenidas con esta escala.The Family Well-Being Index (FMWB) is a broadly used instrument, however it has not been tested any latent structure via any factor analysis. The objective of this study was to check the fit 4 factor models of the FMWB in a Colombian sample, a country in which the scale has been utilized in the last 8 years. An instrumental study was conducted, a sample of 524 families was obtained. The data was analyzed organizing the answer in a univariate and multivariate matrix arrangement, using the software factor and R the models were tested, the best fitting model was the bi-factor model (χ2 = 404.127, df = 228, CFI = 0.958, TLI= 0.949, RMSEA= 0.047, SRMR= 0.055). The results suggest that the bi-factor model is the best model that explains the latent structure of the FMWB. More research is needed to obtain more validity evidences that could help justify correctly the scores obtained with this scale.application/pdf10.21500/20112084.68892011-79222011-2084https://hdl.handle.net/10819/28983https://doi.org/10.21500/20112084.6889engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/6889/56592912118International Journal of Psychological ResearchAivalioti, I., & Pezirkianidis, C. (2020). The role of family resilience on parental well- being and resilience levels. Psychology, 11(11), 1705-1728. Doi: 10.4236/psych.2020.1111108 Bauer, D. J., Howard, A. L., Baldasaro, R. E., Curran, P. J., Hussong, A. M., Chassin, L., & Zucker, R. A. (2013). A trifactor model for integrating ratings across multiple informants. Psychological Methods, 18(4), 1-21. doi: 10.1037/a0032475 Boateng, G. O., Neilands, T. 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DOI:10.3102/1076998615606098info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.http://creativecommons.org/licenses/by-nc-nd/4.0https://revistas.usb.edu.co/index.php/IJPR/article/view/6889ColombiaFamily-Well-Being-IndexBi-factor-modelpsychometric-studyFamily-studiesColombiaIndice de bienestar familiarModelo bifactorialestudios psicometricosestudios de familiaExamen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombianaExamen de la estructura factorial del Índice de Bienestar de los Miembros de la Familia (FMWB) en una muestra colombianaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2687https://bibliotecadigital.usb.edu.co/bitstreams/ff0e60b8-1a2b-47a3-93c6-2ab900ee6150/downloadf68eca039f8489f1f9ee6e1155fc1f88MD5110819/28983oai:bibliotecadigital.usb.edu.co:10819/289832025-08-22 11:59:28.107http://creativecommons.org/licenses/by-nc-nd/4.0https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com |