Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana

Introducción: Se realizó un estudio descriptivo transversal para evaluar la estructura factorial de la traducción al español y adaptación del Inventario de Flexibilidad Cognitiva (Cognitive Flexibility Inventory - CFI) en una muestra de adultos colombianos. Método: La muestra del estudio fue de n =...

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Autores:: Navarro, María Camila
Quiroz Molinares, Nathalia
Mebarak, Moisés

Tipo de recurso:: Article of journal

Fecha de publicación:: 2022

Institución:: Universidad de San Buenaventura

Repositorio:: Repositorio USB

Idioma:: eng

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dc.title.spa.fl_str_mv	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
dc.title.translated.spa.fl_str_mv	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
title	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
spellingShingle	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana Cognitive Flexibility Inventory Construct Validity Factor Analysis Internal Consistency Reliability Inventario de Flexibilidad Cognitiva Validez de constructo Análisis factorial Consistencia interna Confiabilidad
title_short	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
title_full	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
title_fullStr	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
title_full_unstemmed	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
title_sort	Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana
dc.creator.fl_str_mv	Navarro, María Camila Quiroz Molinares, Nathalia Mebarak, Moisés
dc.contributor.author.eng.fl_str_mv	Navarro, María Camila Quiroz Molinares, Nathalia Mebarak, Moisés
dc.subject.eng.fl_str_mv	Cognitive Flexibility Inventory Construct Validity Factor Analysis Internal Consistency Reliability
topic	Cognitive Flexibility Inventory Construct Validity Factor Analysis Internal Consistency Reliability Inventario de Flexibilidad Cognitiva Validez de constructo Análisis factorial Consistencia interna Confiabilidad
dc.subject.spa.fl_str_mv	Inventario de Flexibilidad Cognitiva Validez de constructo Análisis factorial Consistencia interna Confiabilidad
description	Introducción: Se realizó un estudio descriptivo transversal para evaluar la estructura factorial de la traducción al español y adaptación del Inventario de Flexibilidad Cognitiva (Cognitive Flexibility Inventory - CFI) en una muestra de adultos colombianos. Método: La muestra del estudio fue de n = 968. La edad de los participantes osciló entre los 18 y 52 años (Medad=22.81, SD=4.42). Se llevaron a cabo análisis descriptivos, además del análisis factorial confirmatorio y el cálculo de Alpha de Cronbach. Resultados: Los resultados mostraron que la consistencia interna para la escala global fue alta (α=.89). Asimismo, los coeficientes del factor Alternativas y del factor Control fueron similares (α=.90, IC del 95%=.89–.90 y α=.83, IC del 95%=.81–.85, respectivamente). Una estructura de dos factores presentó un buen ajuste de los datos, de acuerdo con los valores de los criterios de selección del modelo. Este modelo sugirió la existencia de dos factores, con elementos correlacionados dentro de estos (Item19∼Item20 e Item8∼Item10). Conclusiones: En general, los resultados sugieren que el inventario CFI muestra una fiabilidad adecuada, tanto para la escala general como para las subescalas y validez de constructo en la muestra colombiana, permitiendo su uso en posibles contextos como el clínico o la investigación.
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-05-24T16:24:53Z 2025-08-22T16:58:57Z
dc.date.available.none.fl_str_mv	2022-05-24T16:24:53Z 2025-08-22T16:58:57Z
dc.date.issued.none.fl_str_mv	2022-05-24
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.21500/20112084.5371
dc.identifier.eissn.none.fl_str_mv	2011-7922
dc.identifier.issn.none.fl_str_mv	2011-2084
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/10819/28929
dc.identifier.url.none.fl_str_mv	https://doi.org/10.21500/20112084.5371
identifier_str_mv	10.21500/20112084.5371 2011-7922 2011-2084
url	https://hdl.handle.net/10819/28929 https://doi.org/10.21500/20112084.5371
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.bitstream.none.fl_str_mv	https://revistas.usb.edu.co/index.php/IJPR/article/download/5371/4634
dc.relation.citationedition.eng.fl_str_mv	Núm. 1 , Año 2022 : Vol. 15 No. 1 (2022)
dc.relation.citationendpage.none.fl_str_mv	54
dc.relation.citationissue.eng.fl_str_mv	1
dc.relation.citationstartpage.none.fl_str_mv	42
dc.relation.citationvolume.eng.fl_str_mv	15
dc.relation.ispartofjournal.eng.fl_str_mv	International Journal of Psychological Research
dc.relation.references.eng.fl_str_mv	Angosto, J., & Martínez, C. (2004). Dimensions and Determinants of the Contact Intention toward Outgroups. Revista Interamericana de Psicología, 38, 181–190. Bandalos, D. L. (2014). Relative Performance of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation. Structural Equation Modeling: A Multidisciplinary Journal, 21, 102–116. https://doi.org/10.1080/10705511.2014.859510 Bentler, P. M., & Chou, C. H. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16, 78–117. Brewster, M. E., Moradi, B., DeBlaere, C., & Velez, B. L. (2013). Navigating the Borderlands: The Roles of Minority Stressors, Bicultural Self-Efficacy, and Cognitive Flexibility in the Mental Health of Bisexual Individuals. Journal of counseling psychology, 60 (4), 543–556. https://doi.org/10.1037/a0033224 Caldwell, W., Mcinnis, O. A., Mcquaid, R. J., Liu, G., Stead, J. D., Anisman, H., & Hayley, S. (6). The Role of the Val66Met Polymorphism of the Brain Derived Neurotrophic Factor Gene in Coping Strategies Relevant to Depressive Symptoms, 8, 1–7. https://doi.org/10.1371/journal.pone.0065547 Cangur, S., & Ercan, I. (2015). Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality, 14 (1), 152–167. https://doi.org/10.22237/jmasm/1430453580 Cardom, R. D. (2016). The Mediating Role of Cognitive Flexibility on the Relationship between Cross-Race Interactions and Psychological Well-Being [Doctoral dissertation, University of Kentucky]. https://uknowledge.uky.edu/edp_etds/50/ Cheng, C., Lau, H. P., & Chan, M. P. (2014). Coping flexibility and psychological adjustment to stressful life changes: A meta-analytic review. Psychological Bulletin, 140 (6), 1582–1607. https://doi.org/10.1037/a0037913 Cheng-Hsien, L. (2015). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48, 936–949. https://doi.org/10.3758/s13428-015-0619-7 Crisp, R. J., & Turner, R. N. (2011). Cognitive Adaptation to the Experience of Social and Cultural Diversity. Psychological Bulletin, 137 (2), 242–266. https://doi.org/10.1037/a0021840 Dajani, D. R., & Uddin, L. Q. (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends in Neuroscience, 38 (9), 571–578. https://doi.org/10.1016/j.tins.2015.07.003 Daugherty, J. C., Pérez-García, M., Hidalgo-Ruzzante, N., & Bueso-Izquierdo, N. (2020). Perceived Executive Functioning among Female Survivors of Intimate Partner Violence. Journal of Aggression, Maltreatment and Trauma, 00 (00), 1–18. https://doi.org/10.1080/10926771.2020.1783734 Demirtas, A. S., & Yildiz, B. (2019). Hopelessness and perceived stress: The mediating role of cognitive flexibility and intolerance of uncertainty. Neurological Sciences, 32, 259–267. https://doi.org/10.14744/DAJPNS.2019.00035 Dennis, J. P., & Vander Wal, J. S. (2010). The cognitive flexibility inventory: Instrument development and estimates of reliability and validity. Cognitive Therapy and Research, 3, 241–253. https://doi.org/10.1007/s10608-009-9276-4 Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64, 135–168. http://dx.doi.org/10.1146/annurev-psych-113011-143750 Eldesouky, L., & English, T. (2018). Another year older, another year wiser? Emotion regulation strategy selection and flexibility across adulthood. Psychology and aging, 33 (4), 572–585. https://doi.org/10.1037/pag0000251 Enesco, I., Guerrero, S., Solbes, I., Lago, O., & Rodríguez, P. (2014). Ethnic-racial prejudice: A review of developmental research in Spain with Spanish and foreign children and preadolescents. Culture and Education, 21 (4), 497–515. https://doi.org/10.1174/113564009790002427 Escobar-Pérez, J., & Cuervo-Martínez, Á. (2008). Content validity by experts judgment: Proposal for a virtual tool. Avances en Medición, 6, 27–36. https://doi.org/10.32870/ap.v9n2.993 Folkman, S., & Lazarus, R. S. (1985). If it changes it must be a process: Study of emotion and coping during three stages of a college examination. Journal of Personality and Social Psychology, 48 (1), 150–170. https://doi.org/10.1037/0022-3514.48.1.150 Fresco, D. M., Rytwinski, N. K., & Craighead, L. W. (2007). Explanatory flexibility and negative life events interact to predict depression symptoms. Journal of Social and Clinical Psychology, 26 (5), 595–608. https://doi.org/10.1521/jscp.2007.26.5.595 Fu, F., & Chow, A. (2017). Traumatic Exposure and PsychologicalWell-Being: The Moderating Role of Cognitive Flexibility. Journal ofLoss andTrauma, 22 (1), 24–35. https://doi.org/10.1080/15325024.2016.1161428 Gioia, G., Isquith, P., Guy, S., & Kenworthy, L. (2000). Behavior Rating Inventory of executive Function. Professional manual. Psychological assessment resources. González-Consuegra, V., R, & Verdú, J. (2010). Spanish adaptation process of the Charing Cross Venous Ulcer Questionnaire (CCVUQ) to measure the quality of life related to health in patients with venous ulcers. Gerokomos, 21 (2), 80–87. Góralska, K., & Basiska, M. A. (2019). Resiliency as a predictor of flexibility in coping with stress of cardiac patients. Health Psychology Report, 7 (3), 2353–5571. https://doi.org/10.5114/hpr.2019.85952 Hambleton, R. K., & Zenisky, A. (2010). Translating and adapting tests for crosscultural assessments. In D. R. Matsumoto & F. J. Vijver (Eds.), Crosscultural research methods in psychology (pp. 46–74). Cambridge University Press. Heaton, S. K., Chelune, G. J., Talley, J. L., Kay, G. G., & Curtiss, G. (1993). Wisconsin Card Sorting Test Manual: Revised and Expanded. Psychological Assessment Resources. Herrero, J. (2010). Confirmatory Factor Analysis in the study of the Structure and Stability of Assessment Instruments: An example with the Self-Esteem Questionnaire (CA-14). Psychosocial Intervention, 19 (3), 289–300. Ionescu, T. (2017). The variability-stability-flexibility pattern: A possible key to understanding the flexibility of the human mind. Review of General Psychology, 21, 123–131. https://doi.org/10.1037/gpr0000110 Kato, T. (2012). Development of the Coping Flexibility Scale: Evidence for the Coping Flexibility Hypothesis. Journal of Counseling Psychology, 59 (2), 262–73. https://doi.org/10.1037/a0027770 Kline, R. B. (2016). Principals and Practice of StructuralEquation Modeling (Fourth Edition). The Guilford Press. Koesten, J., Schrodt, P., & Ford, D. J. (2009). Cognitive flexibility as a mediator of family communication environments and young adults' wellbeing. Health Communication, 24, 82–94. https://doi.org/10.1080/10410230802607024 Kruczek, A., Basiska, M. A., & Janicka, M. (2020). Cognitive flexibility andflexibility in coping innurses – the moderating role of age, seniority and the sense of stress. International journal of occupational medicine and environmental health, 33 (4), 507–521. https://doi.org/10.13075/ijomeh.1896.01567 Kurginyan, S. S., & Osavolyuk, E. Y. (2018). Psychometric Properties of a Russian Version of the Cognitive Flexibility Inventory (CFI-R). Frontiers in Psychology, 9, 1–9. https://doi.org/10.3389/fpsyg.2018.00845 MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. https://doi.org/10.1037/1082-989X.1.2.130 MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490–504. Maddio, S. L., & Greco, C. (2010). Flexibilidad Cognitiva para Resolver Problemas entre Pares ¿Difiere esta Capacidad en Escolares de Contextos Urbanos y Urbanomarginales? Interamerican Journal of Psychology, 44 (1), 98–109. McDonald, J. D. (2008). Measuring personality constructs: The advantages and disadvantages of self-reports, informant reports and behavioural assessments. Enquire, 1 (1), 1–19. Ministerio de Salud. (1993, October 4). Resolución 00843 de 1993 [Resolution 008430 of 1993. Establishing scientific, technical and administrative standards for health research]. Ministerio de Salud. https://www.urosario.edu.co/Escuela-Medicina/Investigacion/Documentos-de-interes/Files/resolucion_008430_1993.pdf Moore, A., & Malinowski, P. (2009). Meditation, mindfulness and cognitive flexibility. Conscious and Cognition, 18 (1), 176–186. https://doi.org/10.1016/j.concog.2008.12.008 Morata, M., Holgado, F. P., Barbero, I., & Méndez, G. (2015). Confirmatory factor analysis. Recommendations for unweighted least squares method related to Chi-Square and RMSEA Type I error. Acción Psicológica, 12 (1), 79–90. https://dx.doi.org/doi.org/10.5944/ap.12.1.14362 Muñiz, J., Elosua, P., & Ronald, K. (2013). Guidelines for translation and adaptation of tests: Second edition. Psicothema, 25 (2), 151–157. https://doi.org/10.7334/psicothema2013.24 Muyan-Yilik, M., & Demir, A. A. (2020). Pathway Towards Subjective Well-Being for Turkish University Students: The Roles of Dispositional Hope, Cognitive Flexibility, and Coping Strategies. Journal of Happiness Studies, 21, 1945–1963. https://doi.org/10.1007/s10902-019-00162-2 Navarro, M. C., & Mebarak, M. (2014). Formation of Social Prejudice, A Review from the Cognitive and Psychoanalytic Unconscious. Cuadernos de Neuropsicología, 8 (1), 88–106. Nweze, T., Agu, E., & Lange, F. (2020). Risky decision making and cognitive flexibility among online sports bettors in Nigeria. International Journal of Psychology, 55 (6), 995–1002. https://doi.org/10.1002/ijop.12663 Odac, H., & Cikrikci, Ö. (2019). Cognitive Flexibility Mediates the Relationship between Big Five Personality Traits and Life Satisfaction. Applied Research Quality Life, 14, 1229–1246. https://doi.org/10.1007/s11482-018-9651-y Palm, K. M., & Follette, V. M. (2011). The roles of cognitive flexibility and experiential avoidance in explaining psychological distress in survivors of interpersonal victimization. Joumal of Psychopathology and Behavioral Assessment, 33, 79–86. https://doi.org/10.1007/s10862-010-9201-x Reitan, R., & Wolfson, D. (1993). The Halstead-Reitan Neuropsychologic Test Battery: Theory and Clinical Interpretation. Neuropsychology Press. Rosseel, Y. (2012). Lavaan: An R package for structural equation modelling. Journal of Statistical Software, 48 (2), 1–36. https://doi.org/10.18637/jss.v048.i02 Rudnik, A., Piotrowicz, G., Basiska, M. A., & Rashedi, V. (2019). The importance of cognitive flexibility and flexibility in coping with stress for the quality of life in inflammatory bowel disease patients during biological therapy. A preliminary report. Gastroenterology Review, 14 (2), 121–128. https://doi.org/10.5114/pg.2018.81081 Schulz, W., Ainley, J., & Fraillon, J. (Eds.) (2011). ICCS 2009 technical report. International Association for the Evaluation of Educational Achievement (IEA). Shah, D. (2019). Moderators of bicultural self-efficacy and mental health among Asian Americans [Doctoral thesis, University of Alaska Fairbanks]. http://hdl.handle.net/11122/10640 Shapero, B. G., Greenberg, J., Mischoulon, D., Pedrelli, P., Meade, K., & Lazar, S. W. (2018). Mindfulness-Based Cognitive Therapy Improves Cognitive Functioning and Flexibility Among Individuals with Elevated Depressive Symptoms. Mindfulness, 9, 1457–1469. https://doi.org/10.1007/s12671-018-0889-0 Shareh, H., Farmani, A., & Soltani, E. (2014). Investigating the Reliability and Validity of the Cognitive Flexibility Inventory (CFI-I) among Iranian University Students. Practice in Clinical Psychology, 2 (1), 43–50. http://jpcp.uswr.ac.ir/article-1-163-en.html Stemme, A., Deco, G., & Busch, A. (2007). The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of Computational Neuroscience, 23 (3), 313–331. https://doi.org/10.1007/s10827-007-0034-x The R Foundation. (2019). The R project for statistical computing [Computer software]. The R Foundation. https://www.r-project.org/ Van Stockum, C. A. J., & De Caro, M. S. (2020). When working memory mechanisms compete: Predicting cognitive flexibility versus mental set. Cognition, 201, 2–16. https://doi.org/10.1016/j.cognition.2020.104313 Wadsworth, M., Rieckmann, T., Benson, M., & Compas, B. (2004). Coping and responses to stress in Navajo adolescents: Psychometric properties of the Responses to Stress Questionnaire. Journal of Community Psychology, 32 (4), 391–411. https://doi.org/10.1002/jcop.20008 Webler, R. D., Fulton, S., Perera, T. D., & Coplan, J. D. (2019). Maturational phase of hippocampal neurogenesis and cognitive flexibility. Neuroscience Letters, (711). https://doi.org/10.1016/j.neulet.2019.134414 Whittaker, T. A. (2012). Using the Modification Index and Standardized Expected Parameter Change for Model Modification. Journal of Experimental Education, 80 (1), 26–44. https://doi.org/10.1080/00220973.2010.531299 Zaehringer, J., Falquez, R., Schubert, A. L., Nees, F., & Barnow, S. (2018). Neural correlates of reappraisal considering working memory capacity and cognitive flexibility. Brain Imaging and Behavior, 12 (6), 1529–1543. https://doi.org/10.1007/s11682-017-9788-6 Zuo, B.,Wen, F.,Wang, M., &Wang, Y. (2019). The mediating role of cognitive flexibility in the influence of counter-stereotypes on creativity. Frontiers in Psychology, 10, Article 105. https://doi.org/10.3389/fpsyg.2019.00105
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spelling	Navarro, María CamilaQuiroz Molinares, NathaliaMebarak, Moisés2022-05-24T16:24:53Z2025-08-22T16:58:57Z2022-05-24T16:24:53Z2025-08-22T16:58:57Z2022-05-24Introducción: Se realizó un estudio descriptivo transversal para evaluar la estructura factorial de la traducción al español y adaptación del Inventario de Flexibilidad Cognitiva (Cognitive Flexibility Inventory - CFI) en una muestra de adultos colombianos. Método: La muestra del estudio fue de n = 968. La edad de los participantes osciló entre los 18 y 52 años (Medad=22.81, SD=4.42). Se llevaron a cabo análisis descriptivos, además del análisis factorial confirmatorio y el cálculo de Alpha de Cronbach. Resultados: Los resultados mostraron que la consistencia interna para la escala global fue alta (α=.89). Asimismo, los coeficientes del factor Alternativas y del factor Control fueron similares (α=.90, IC del 95%=.89–.90 y α=.83, IC del 95%=.81–.85, respectivamente). Una estructura de dos factores presentó un buen ajuste de los datos, de acuerdo con los valores de los criterios de selección del modelo. Este modelo sugirió la existencia de dos factores, con elementos correlacionados dentro de estos (Item19∼Item20 e Item8∼Item10). Conclusiones: En general, los resultados sugieren que el inventario CFI muestra una fiabilidad adecuada, tanto para la escala general como para las subescalas y validez de constructo en la muestra colombiana, permitiendo su uso en posibles contextos como el clínico o la investigación.Introduction: A cross-sectional descriptive study was conducted to evaluate the factor structure of Spanish translation and adaptation of the Cognitive Flexibility Inventory (CFI) in a sample of Colombian adults. Method: The sample of the study was n = 968. Respondents were aged between 18 and 52 years old (Mage=22.81, SD=4.42). Descriptive analyses, confirmatory factor analysis, and Cronbach’s Alpha calculation were carried out. Results: Internal consistency for the global scale was high (α=.89). Likewise, the coefficients of the Alternative factor and the Control factor were similar (α=.90, 95% CI=.89–.90 and α=.83, 95% CI=.81–.85, respectively). A two-factor structure performed best according to the results of model selection criteria. This model suggested the existence of two correlated factors, with correlated items within factors (Item19∼Item20 and Item8∼Item10). Conclusions: Overall, the results suggest that the CFI scale exhibits construct validity and adequate reliability, both for the general scale and the subscales in the Colombian sample, enabling their use in contexts such as clinical or research.application/pdf10.21500/20112084.53712011-79222011-2084https://hdl.handle.net/10819/28929https://doi.org/10.21500/20112084.5371engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/5371/4634Núm. 1 , Año 2022 : Vol. 15 No. 1 (2022)5414215International Journal of Psychological ResearchAngosto, J., & Martínez, C. (2004). Dimensions and Determinants of the Contact Intention toward Outgroups. Revista Interamericana de Psicología, 38, 181–190.Bandalos, D. L. (2014). Relative Performance of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation. Structural Equation Modeling: A Multidisciplinary Journal, 21, 102–116. https://doi.org/10.1080/10705511.2014.859510Bentler, P. M., & Chou, C. H. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16, 78–117.Brewster, M. E., Moradi, B., DeBlaere, C., & Velez, B. L. (2013). Navigating the Borderlands: The Roles of Minority Stressors, Bicultural Self-Efficacy, and Cognitive Flexibility in the Mental Health of Bisexual Individuals. Journal of counseling psychology, 60 (4), 543–556. https://doi.org/10.1037/a0033224Caldwell, W., Mcinnis, O. A., Mcquaid, R. J., Liu, G., Stead, J. D., Anisman, H., & Hayley, S. (6). The Role of the Val66Met Polymorphism of the Brain Derived Neurotrophic Factor Gene in Coping Strategies Relevant to Depressive Symptoms, 8, 1–7. https://doi.org/10.1371/journal.pone.0065547Cangur, S., & Ercan, I. (2015). Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality, 14 (1), 152–167. https://doi.org/10.22237/jmasm/1430453580Cardom, R. D. (2016). The Mediating Role of Cognitive Flexibility on the Relationship between Cross-Race Interactions and Psychological Well-Being [Doctoral dissertation, University of Kentucky]. https://uknowledge.uky.edu/edp_etds/50/Cheng, C., Lau, H. P., & Chan, M. P. (2014). Coping flexibility and psychological adjustment to stressful life changes: A meta-analytic review. Psychological Bulletin, 140 (6), 1582–1607. https://doi.org/10.1037/a0037913Cheng-Hsien, L. (2015). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48, 936–949. https://doi.org/10.3758/s13428-015-0619-7Crisp, R. J., & Turner, R. N. (2011). Cognitive Adaptation to the Experience of Social and Cultural Diversity. Psychological Bulletin, 137 (2), 242–266. https://doi.org/10.1037/a0021840Dajani, D. R., & Uddin, L. Q. (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends in Neuroscience, 38 (9), 571–578. https://doi.org/10.1016/j.tins.2015.07.003Daugherty, J. C., Pérez-García, M., Hidalgo-Ruzzante, N., & Bueso-Izquierdo, N. (2020). Perceived Executive Functioning among Female Survivors of Intimate Partner Violence. Journal of Aggression, Maltreatment and Trauma, 00 (00), 1–18. https://doi.org/10.1080/10926771.2020.1783734Demirtas, A. S., & Yildiz, B. (2019). Hopelessness and perceived stress: The mediating role of cognitive flexibility and intolerance of uncertainty. Neurological Sciences, 32, 259–267. https://doi.org/10.14744/DAJPNS.2019.00035Dennis, J. P., & Vander Wal, J. S. (2010). The cognitive flexibility inventory: Instrument development and estimates of reliability and validity. Cognitive Therapy and Research, 3, 241–253. https://doi.org/10.1007/s10608-009-9276-4Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64, 135–168. http://dx.doi.org/10.1146/annurev-psych-113011-143750 Eldesouky, L., & English, T. (2018). Another year older, another year wiser? Emotion regulation strategy selection and flexibility across adulthood. Psychology and aging, 33 (4), 572–585. https://doi.org/10.1037/pag0000251Enesco, I., Guerrero, S., Solbes, I., Lago, O., & Rodríguez, P. (2014). Ethnic-racial prejudice: A review of developmental research in Spain with Spanish and foreign children and preadolescents. Culture and Education, 21 (4), 497–515. https://doi.org/10.1174/113564009790002427Escobar-Pérez, J., & Cuervo-Martínez, Á. (2008). Content validity by experts judgment: Proposal for a virtual tool. Avances en Medición, 6, 27–36. https://doi.org/10.32870/ap.v9n2.993Folkman, S., & Lazarus, R. S. (1985). If it changes it must be a process: Study of emotion and coping during three stages of a college examination. Journal of Personality and Social Psychology, 48 (1), 150–170. https://doi.org/10.1037/0022-3514.48.1.150Fresco, D. M., Rytwinski, N. K., & Craighead, L. W. (2007). Explanatory flexibility and negative life events interact to predict depression symptoms. Journal of Social and Clinical Psychology, 26 (5), 595–608. https://doi.org/10.1521/jscp.2007.26.5.595Fu, F., & Chow, A. (2017). Traumatic Exposure and PsychologicalWell-Being: The Moderating Role of Cognitive Flexibility. Journal ofLoss andTrauma, 22 (1), 24–35. https://doi.org/10.1080/15325024.2016.1161428Gioia, G., Isquith, P., Guy, S., & Kenworthy, L. (2000). Behavior Rating Inventory of executive Function. Professional manual. Psychological assessment resources.González-Consuegra, V., R, & Verdú, J. (2010). Spanish adaptation process of the Charing Cross Venous Ulcer Questionnaire (CCVUQ) to measure the quality of life related to health in patients with venous ulcers. Gerokomos, 21 (2), 80–87.Góralska, K., & Basiska, M. A. (2019). Resiliency as a predictor of flexibility in coping with stress of cardiac patients. Health Psychology Report, 7 (3), 2353–5571. https://doi.org/10.5114/hpr.2019.85952Hambleton, R. K., & Zenisky, A. (2010). Translating and adapting tests for crosscultural assessments. In D. R. Matsumoto & F. J. Vijver (Eds.), Crosscultural research methods in psychology (pp. 46–74). Cambridge University Press.Heaton, S. K., Chelune, G. J., Talley, J. L., Kay, G. G., & Curtiss, G. (1993). Wisconsin Card Sorting Test Manual: Revised and Expanded. Psychological Assessment Resources.Herrero, J. (2010). Confirmatory Factor Analysis in the study of the Structure and Stability of Assessment Instruments: An example with the Self-Esteem Questionnaire (CA-14). Psychosocial Intervention, 19 (3), 289–300.Ionescu, T. (2017). The variability-stability-flexibility pattern: A possible key to understanding the flexibility of the human mind. Review of General Psychology, 21, 123–131. https://doi.org/10.1037/gpr0000110Kato, T. (2012). Development of the Coping Flexibility Scale: Evidence for the Coping Flexibility Hypothesis. Journal of Counseling Psychology, 59 (2), 262–73. https://doi.org/10.1037/a0027770Kline, R. B. (2016). Principals and Practice of StructuralEquation Modeling (Fourth Edition). The Guilford Press.Koesten, J., Schrodt, P., & Ford, D. J. (2009). Cognitive flexibility as a mediator of family communication environments and young adults' wellbeing. Health Communication, 24, 82–94. https://doi.org/10.1080/10410230802607024Kruczek, A., Basiska, M. A., & Janicka, M. (2020). Cognitive flexibility andflexibility in coping innurses – the moderating role of age, seniority and the sense of stress. International journal of occupational medicine and environmental health, 33 (4), 507–521. https://doi.org/10.13075/ijomeh.1896.01567Kurginyan, S. S., & Osavolyuk, E. Y. (2018). Psychometric Properties of a Russian Version of the Cognitive Flexibility Inventory (CFI-R). Frontiers in Psychology, 9, 1–9. https://doi.org/10.3389/fpsyg.2018.00845MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. https://doi.org/10.1037/1082-989X.1.2.130MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490–504.Maddio, S. L., & Greco, C. (2010). Flexibilidad Cognitiva para Resolver Problemas entre Pares ¿Difiere esta Capacidad en Escolares de Contextos Urbanos y Urbanomarginales? Interamerican Journal of Psychology, 44 (1), 98–109.McDonald, J. D. (2008). Measuring personality constructs: The advantages and disadvantages of self-reports, informant reports and behavioural assessments. Enquire, 1 (1), 1–19.Ministerio de Salud. (1993, October 4). Resolución 00843 de 1993 [Resolution 008430 of 1993. Establishing scientific, technical and administrative standards for health research]. Ministerio de Salud. https://www.urosario.edu.co/Escuela-Medicina/Investigacion/Documentos-de-interes/Files/resolucion_008430_1993.pdfMoore, A., & Malinowski, P. (2009). Meditation, mindfulness and cognitive flexibility. Conscious and Cognition, 18 (1), 176–186. https://doi.org/10.1016/j.concog.2008.12.008Morata, M., Holgado, F. P., Barbero, I., & Méndez, G. (2015). Confirmatory factor analysis. Recommendations for unweighted least squares method related to Chi-Square and RMSEA Type I error. Acción Psicológica, 12 (1), 79–90. https://dx.doi.org/doi.org/10.5944/ap.12.1.14362Muñiz, J., Elosua, P., & Ronald, K. (2013). Guidelines for translation and adaptation of tests: Second edition. Psicothema, 25 (2), 151–157. https://doi.org/10.7334/psicothema2013.24Muyan-Yilik, M., & Demir, A. A. (2020). Pathway Towards Subjective Well-Being for Turkish University Students: The Roles of Dispositional Hope, Cognitive Flexibility, and Coping Strategies. Journal of Happiness Studies, 21, 1945–1963. https://doi.org/10.1007/s10902-019-00162-2Navarro, M. C., & Mebarak, M. (2014). Formation of Social Prejudice, A Review from the Cognitive and Psychoanalytic Unconscious. Cuadernos de Neuropsicología, 8 (1), 88–106.Nweze, T., Agu, E., & Lange, F. (2020). Risky decision making and cognitive flexibility among online sports bettors in Nigeria. International Journal of Psychology, 55 (6), 995–1002. https://doi.org/10.1002/ijop.12663Odac, H., & Cikrikci, Ö. (2019). Cognitive Flexibility Mediates the Relationship between Big Five Personality Traits and Life Satisfaction. Applied Research Quality Life, 14, 1229–1246. https://doi.org/10.1007/s11482-018-9651-yPalm, K. M., & Follette, V. M. (2011). The roles of cognitive flexibility and experiential avoidance in explaining psychological distress in survivors of interpersonal victimization. Joumal of Psychopathology and Behavioral Assessment, 33, 79–86. https://doi.org/10.1007/s10862-010-9201-xReitan, R., & Wolfson, D. (1993). The Halstead-Reitan Neuropsychologic Test Battery: Theory and Clinical Interpretation. Neuropsychology Press.Rosseel, Y. (2012). Lavaan: An R package for structural equation modelling. Journal of Statistical Software, 48 (2), 1–36. https://doi.org/10.18637/jss.v048.i02Rudnik, A., Piotrowicz, G., Basiska, M. A., & Rashedi, V. (2019). The importance of cognitive flexibility and flexibility in coping with stress for the quality of life in inflammatory bowel disease patients during biological therapy. A preliminary report. Gastroenterology Review, 14 (2), 121–128. https://doi.org/10.5114/pg.2018.81081Schulz, W., Ainley, J., & Fraillon, J. (Eds.) (2011). ICCS 2009 technical report. International Association for the Evaluation of Educational Achievement (IEA).Shah, D. (2019). Moderators of bicultural self-efficacy and mental health among Asian Americans [Doctoral thesis, University of Alaska Fairbanks]. http://hdl.handle.net/11122/10640Shapero, B. G., Greenberg, J., Mischoulon, D., Pedrelli, P., Meade, K., & Lazar, S. W. (2018). Mindfulness-Based Cognitive Therapy Improves Cognitive Functioning and Flexibility Among Individuals with Elevated Depressive Symptoms. Mindfulness, 9, 1457–1469. https://doi.org/10.1007/s12671-018-0889-0Shareh, H., Farmani, A., & Soltani, E. (2014). Investigating the Reliability and Validity of the Cognitive Flexibility Inventory (CFI-I) among Iranian University Students. Practice in Clinical Psychology, 2 (1), 43–50. http://jpcp.uswr.ac.ir/article-1-163-en.htmlStemme, A., Deco, G., & Busch, A. (2007). The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of Computational Neuroscience, 23 (3), 313–331. https://doi.org/10.1007/s10827-007-0034-xThe R Foundation. (2019). The R project for statistical computing [Computer software]. The R Foundation. https://www.r-project.org/Van Stockum, C. A. J., & De Caro, M. S. (2020). When working memory mechanisms compete: Predicting cognitive flexibility versus mental set. Cognition, 201, 2–16. https://doi.org/10.1016/j.cognition.2020.104313Wadsworth, M., Rieckmann, T., Benson, M., & Compas, B. (2004). Coping and responses to stress in Navajo adolescents: Psychometric properties of the Responses to Stress Questionnaire. Journal of Community Psychology, 32 (4), 391–411. https://doi.org/10.1002/jcop.20008Webler, R. D., Fulton, S., Perera, T. D., & Coplan, J. D. (2019). Maturational phase of hippocampal neurogenesis and cognitive flexibility. Neuroscience Letters, (711). https://doi.org/10.1016/j.neulet.2019.134414Whittaker, T. A. (2012). Using the Modification Index and Standardized Expected Parameter Change for Model Modification. Journal of Experimental Education, 80 (1), 26–44. https://doi.org/10.1080/00220973.2010.531299Zaehringer, J., Falquez, R., Schubert, A. L., Nees, F., & Barnow, S. (2018). Neural correlates of reappraisal considering working memory capacity and cognitive flexibility. Brain Imaging and Behavior, 12 (6), 1529–1543. https://doi.org/10.1007/s11682-017-9788-6Zuo, B.,Wen, F.,Wang, M., &Wang, Y. (2019). The mediating role of cognitive flexibility in the influence of counter-stereotypes on creativity. Frontiers in Psychology, 10, Article 105. https://doi.org/10.3389/fpsyg.2019.00105info: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/5371Cognitive Flexibility InventoryConstruct ValidityFactor AnalysisInternal ConsistencyReliabilityInventario de Flexibilidad CognitivaValidez de constructoAnálisis factorialConsistencia internaConfiabilidadPropiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombianaPropiedades psicométricas del Inventario de Flexibilidad Cognitiva 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/xml2641https://bibliotecadigital.usb.edu.co/bitstreams/848eeeae-b85d-4b1f-9d2f-2951fc9b5de9/downloadae3af3f99d67be835a48deb26be4317aMD5110819/28929oai:bibliotecadigital.usb.edu.co:10819/289292025-08-22 11:58:57.704http://creativecommons.org/licenses/by-nc-nd/4.0https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com

Propiedades psicométricas del Inventario de Flexibilidad Cognitiva en una muestra colombiana

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