Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)

Objetivo: Este estudio presenta una versión en español de la Cognitive Flexibility Scale (CFS), un instrumento subjetivo y breve para medir la Flexibilidad Cognitiva (FC), y analiza sus características psicométricas. Método: Los ítems de la versión original de la escala fueron adaptados al español....

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Autores:
López, Mariana Beatriz
Arán Filippetti, Vanessa
Krumm, Gabriela Liliana
Tipo de recurso:
Article of journal
Fecha de publicación:
2024
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
eng
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oai:bibliotecadigital.usb.edu.co:10819/28963
Acceso en línea:
https://hdl.handle.net/10819/28963
https://doi.org/10.21500/20112084.6106
Palabra clave:
Cognitive Flexibility
Adaptation
Reliability
Validity
Flexibilidad cognitiva
adaptación
confiabilidad
validez
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
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network_name_str Repositorio USB
repository_id_str
dc.title.spa.fl_str_mv Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
dc.title.translated.spa.fl_str_mv Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
title Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
spellingShingle Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
Cognitive Flexibility
Adaptation
Reliability
Validity
Flexibilidad cognitiva
adaptación
confiabilidad
validez
title_short Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
title_full Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
title_fullStr Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
title_full_unstemmed Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
title_sort Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)
dc.creator.fl_str_mv López, Mariana Beatriz
Arán Filippetti, Vanessa
Krumm, Gabriela Liliana
dc.contributor.author.eng.fl_str_mv López, Mariana Beatriz
Arán Filippetti, Vanessa
Krumm, Gabriela Liliana
dc.subject.eng.fl_str_mv Cognitive Flexibility
Adaptation
Reliability
Validity
topic Cognitive Flexibility
Adaptation
Reliability
Validity
Flexibilidad cognitiva
adaptación
confiabilidad
validez
dc.subject.spa.fl_str_mv Flexibilidad cognitiva
adaptación
confiabilidad
validez
description Objetivo: Este estudio presenta una versión en español de la Cognitive Flexibility Scale (CFS), un instrumento subjetivo y breve para medir la Flexibilidad Cognitiva (FC), y analiza sus características psicométricas. Método: Los ítems de la versión original de la escala fueron adaptados al español. Se administró una entrevista estructurada conteniendo la versión adaptada de la CFS, el Adult Executive Functioning Inventory (ADEXI), el Interpersonal Reactivity Index (IRI) y datos sociodemográficos, a una muestra intencional de 369 adultos argentinos de entre 18 y 60 años, a través de una plataforma en línea. Resultados: La consistencia interna de la CFS fue alta (Alfa = .813). Un modelo de dos factores, Fortalezas y Dificultades en la CF, mostró el mejor ajuste a los datos. La CFS mostró una correlación negativa con el déficit ejecutivo y una correlación positiva con diferentes dimensiones de la empatía. Discusión: La versión adaptada al español de la CFS muestra propiedades psicométricas satisfactorias en población adulta argentina.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-05-08T00:00:00Z
2025-08-22T16:59:17Z
dc.date.available.none.fl_str_mv 2024-05-08T00:00:00Z
2025-08-22T16:59:17Z
dc.date.issued.none.fl_str_mv 2024-05-08
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.local.eng.fl_str_mv Journal article
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dc.identifier.doi.none.fl_str_mv 10.21500/20112084.6106
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/10819/28963
dc.identifier.url.none.fl_str_mv https://doi.org/10.21500/20112084.6106
identifier_str_mv 10.21500/20112084.6106
2011-7922
2011-2084
url https://hdl.handle.net/10819/28963
https://doi.org/10.21500/20112084.6106
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/6106/5374
dc.relation.citationedition.eng.fl_str_mv Núm. 1 , Año 2024 : Vol. 17 No. 1 (2024)
dc.relation.citationendpage.none.fl_str_mv 62
dc.relation.citationissue.eng.fl_str_mv 1
dc.relation.citationstartpage.none.fl_str_mv 53
dc.relation.citationvolume.eng.fl_str_mv 17
dc.relation.ispartofjournal.eng.fl_str_mv International Journal of Psychological Research
dc.relation.references.eng.fl_str_mv Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N.Pet rov & F. Caski (Eds.), Proceedings of the Second International Symposium on Information Theory(pp. 267–281). Akademiai Kiado.
Akaike, H. (1987). Factor analysis and AIC.Psychome-trika,52, 317–332.
Arán Filippetti, V., & Krumm, G. (2020). A hierarchical model of cognitive flexibility in children: Ex-tending the relationship between flexibility, creativity, and academic achievement.Child Neuropsychology,26(6), 770–800.https://doi.org/10.1080/09297049.2019.1711034
Arbuckle, J. L. (2007).Amos 16.0 user’s guide. AmosDevelopment Corporation.
Barkley, R. A., & Fischer, M. (2011). Predicting impairment in major life activities and occupational functioning in hyperactive children as adults: Self‐reported executive function (EF) deficits versus EF tests. Developmental Neuropsychology, 36(2), 137–161. https://doi.org/10.1080/87565641.2010.549877
Barkley, R. A., & Murphy, K. R. (2011). The nature of executive function (EF) deficits in daily life activities in adults with ADHD and their relationship to EF tests. Journal of Psychopathology and Behavioral Assessment, 33(2), 137–158. https://doi.org/10.1007/s10862‐011‐9217‐x
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588. https://doi.org/10.1037/0033-2909.88.3.588
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238. https://doi.org/10.1037/0033-2909.107.2.238
Bilgin, M. (2009). Developing a cognitive flexibility scale: Validity and reliability studies. Social Behavior and Personality: an international journal, 37(3), 343-353. https://doi.org/10.2224/sbp.2009.37.3.343
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological methods & research, 17(3), 303-316. https://doi.org/10.1177/0049124189017003004
Carroll, D. J., Blakey, E., & FitzGibbon, L. (2016). Cognitive flexibility in young children: Beyond perseveration. Child Development Perspectives,10(4),211–215.
Çelikkaleli, Ö. (2014). The Validity and Reliability of the Cognitive Flexibility Scale.Education & Science/Egitim ve Bilim,39(176).
Dajani, D. R., & Uddin, L. Q. (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience.Trends in neuro-sciences,38(9), 571–578.
Dennis, J. P., Vander Wal, J. S. (2010). The Cognitive Flexibility Inventory: Instrument Development and Estimates of Reliability and Validity. Cognitive Therapy and Research 34, 241–253 https://doi.org/10.1007/s10608-009-9276-4
Dennis, J. P. (2007). The Relationship Between Life Event Stress, Cognitive Flexibility, Coping, and Depression: A Longitudinal Study (Doctoral dissertation, Saint Louis University).
Hartman, M., Bolton, E., & Fehnel, S. E. (2001). Ac-countingforagedifferencesontheWisconsinCardSorting Test: decreased working memory, not in-flexibility.Psychology and aging,16(3), 385.
Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But...Communication Methods and Measures,14(1), 1–24.https://doi.org/10.1080/19312458.2020.1718629
Heaton, R. K., Chelune, G. J., Talley, J. L., Kay, G. G., & Curtiss, G. (1993). Wisconsin Card Sorting Test manual. Psychological Assessment Resources. Hernández, A., Hidalgo, M. D., Hambleton, R. K., &Gómez Benito, J. (2020). International test com-mission guidelines for test adaptation: A crite-rion checklist.Psicothema,32(3), 390–398.https://doi.org/10.7334/psicothema2019.306
Holst, Y., & Thorell, L. B. (2018). Adult executive functioning inventory (ADEXI): Validity, reliability, and relations to ADHD. International Journal of Methods in Psychiatric Research, 27, e1567. https://doi.org/10.1002/mpr.1567
Hu, L., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76–99). SAGE.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118
Johnco, C., Wuthrich, V. M., & Rapee, R. M. (2014). Re-liability and validity of two self-report measuresof cognitive flexibility.Psychological assessment,26(4), 1381.
López, M. B., Arán Filippetti, V., & Richaud, M. C. (2014). Empatía: desde la percepción automática hasta los procesos controlados. Avances en Psicología Latinoamericana, 32(1), 37-51. dx.doi.org/10.12804/apl32.1.2014.03
López, M. B., Arán Filippetti, V., & Richaud, M. C. (2021). Adult Executive Functioning Inventory (ADEXI): Factor structure, convergent validity, and reliability of a Spanish adaptation. Applied Neuropsychology: Adult, 1-7. https://doi.org/10.1080/23279095.2021.1880408
Luria, A. R. (1966). Higher cortical functions in man. Basic Books.
Martin, M. M., & Anderson, C. M. (1998). The cognitive flexibility scale: Three validity studies. Communication Reports, 11(1), 1-9. https://doi.org/10.1080/08934219809367680
Martin, M. M., & Rubin, R. B. (1995). A new measure of cognitive flexibility. Psychological reports, 76(2), 623-626. https://doi.org/10.2466/pr0.1995.76.2.623
Mestre Escrivá, V., Frías Navarro, M. D., & Samper García, P. (2004). La medida de empatía: análisis del Interpersonal Reactivity Index. Psicothema, 255-260.
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki,A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis.Cognitive psychology,41(1), 49–100.
Montero, I., & León, O. G. (2007). A guide for research studies in Psychology.International Journal of Clinical and Health psychology,7(3),847–862.
Navarro, M. C., Quiroz Molinares, N., & Mebarak, M.(2022). Psychometric Study of the Cognitive Flexibility Inventory in a Colombian Sample.International Journal of Psychological Research,15(1), 42–54.
Osgood, C., Suci, G., Tannenbaum, P. (1957): The measurement of meaning. University of Illinois Press. Stuss, D. T. & Benson, D. F. (1986). The frontal lobes. Raven Press.
Oshiro, K., Nagaoka, S., & Shimizu, E. (2016). Development and validation of the Japanese version of cognitive flexibility scale.BMC research notes,9, 1–8.https://doi.org/10.1186/s13104-016-2070-y
Regard, M., Strauss, E., & Knapp, P. (1982). Children’s production on verbal and non-verbal communication tasks. Perceptual and motor skills,55(3), 839–844.
Reitan, R. M., & Wolfson, D. (1993).The Halstead-Reitan Neuropsychological Test Battery: Theory and Clinical Interpretation.2nd edn. Neuropsychology Press, Tuscon, AZ.
Stuss, D. T., & Benson, D. F. (1986).The frontal lobes.Raven Press
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spelling López, Mariana BeatrizArán Filippetti, VanessaKrumm, Gabriela Liliana2024-05-08T00:00:00Z2025-08-22T16:59:17Z2024-05-08T00:00:00Z2025-08-22T16:59:17Z2024-05-08Objetivo: Este estudio presenta una versión en español de la Cognitive Flexibility Scale (CFS), un instrumento subjetivo y breve para medir la Flexibilidad Cognitiva (FC), y analiza sus características psicométricas. Método: Los ítems de la versión original de la escala fueron adaptados al español. Se administró una entrevista estructurada conteniendo la versión adaptada de la CFS, el Adult Executive Functioning Inventory (ADEXI), el Interpersonal Reactivity Index (IRI) y datos sociodemográficos, a una muestra intencional de 369 adultos argentinos de entre 18 y 60 años, a través de una plataforma en línea. Resultados: La consistencia interna de la CFS fue alta (Alfa = .813). Un modelo de dos factores, Fortalezas y Dificultades en la CF, mostró el mejor ajuste a los datos. La CFS mostró una correlación negativa con el déficit ejecutivo y una correlación positiva con diferentes dimensiones de la empatía. Discusión: La versión adaptada al español de la CFS muestra propiedades psicométricas satisfactorias en población adulta argentina.Objective. This study presents a Spanish version of the Cognitive Flexibility Scale (CFS), a subjective and brief instrument to measure Cognitive Flexibility (CF), and analyzes its psychometric characteristics. Method.The items of the scale’s original version were adapted to Spanish. An interview containing the adapted version of the CFS, the Adult Executive Functioning Inventory (ADEXI), the Interpersonal Reactivity Index (IRI), and sociodemographic data, was administered to an intentional sample of 369 Argentine adults, aged between 18 and 60, through an online platform. Results. The CFS’s internal consistency was high (α = .813). A two-factor model, Strengths and Difficulties in CF, showed the best fitfor the data. The CFS shows a negative correlation with the executive deficit and a positive correlations with empathy dimensions. Discussion. The Spanish-adapted version of the CFS shows satisfactory psychometric properties in the Argentine adult population.application/pdf10.21500/20112084.61062011-79222011-2084https://hdl.handle.net/10819/28963https://doi.org/10.21500/20112084.6106engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/6106/5374Núm. 1 , Año 2024 : Vol. 17 No. 1 (2024)6215317International Journal of Psychological ResearchAkaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N.Pet rov & F. Caski (Eds.), Proceedings of the Second International Symposium on Information Theory(pp. 267–281). Akademiai Kiado.Akaike, H. (1987). Factor analysis and AIC.Psychome-trika,52, 317–332.Arán Filippetti, V., & Krumm, G. (2020). A hierarchical model of cognitive flexibility in children: Ex-tending the relationship between flexibility, creativity, and academic achievement.Child Neuropsychology,26(6), 770–800.https://doi.org/10.1080/09297049.2019.1711034Arbuckle, J. L. (2007).Amos 16.0 user’s guide. AmosDevelopment Corporation.Barkley, R. A., & Fischer, M. (2011). Predicting impairment in major life activities and occupational functioning in hyperactive children as adults: Self‐reported executive function (EF) deficits versus EF tests. Developmental Neuropsychology, 36(2), 137–161. https://doi.org/10.1080/87565641.2010.549877Barkley, R. A., & Murphy, K. R. (2011). The nature of executive function (EF) deficits in daily life activities in adults with ADHD and their relationship to EF tests. Journal of Psychopathology and Behavioral Assessment, 33(2), 137–158. https://doi.org/10.1007/s10862‐011‐9217‐xBentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588. https://doi.org/10.1037/0033-2909.88.3.588Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238. https://doi.org/10.1037/0033-2909.107.2.238Bilgin, M. (2009). Developing a cognitive flexibility scale: Validity and reliability studies. Social Behavior and Personality: an international journal, 37(3), 343-353. https://doi.org/10.2224/sbp.2009.37.3.343Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological methods & research, 17(3), 303-316. https://doi.org/10.1177/0049124189017003004Carroll, D. J., Blakey, E., & FitzGibbon, L. (2016). Cognitive flexibility in young children: Beyond perseveration. Child Development Perspectives,10(4),211–215.Çelikkaleli, Ö. (2014). The Validity and Reliability of the Cognitive Flexibility Scale.Education & Science/Egitim ve Bilim,39(176).Dajani, D. R., & Uddin, L. Q. (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience.Trends in neuro-sciences,38(9), 571–578.Dennis, J. P., Vander Wal, J. S. (2010). The Cognitive Flexibility Inventory: Instrument Development and Estimates of Reliability and Validity. Cognitive Therapy and Research 34, 241–253 https://doi.org/10.1007/s10608-009-9276-4Dennis, J. P. (2007). The Relationship Between Life Event Stress, Cognitive Flexibility, Coping, and Depression: A Longitudinal Study (Doctoral dissertation, Saint Louis University).Hartman, M., Bolton, E., & Fehnel, S. E. (2001). Ac-countingforagedifferencesontheWisconsinCardSorting Test: decreased working memory, not in-flexibility.Psychology and aging,16(3), 385.Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But...Communication Methods and Measures,14(1), 1–24.https://doi.org/10.1080/19312458.2020.1718629Heaton, R. K., Chelune, G. J., Talley, J. L., Kay, G. G., & Curtiss, G. (1993). Wisconsin Card Sorting Test manual. Psychological Assessment Resources. Hernández, A., Hidalgo, M. D., Hambleton, R. K., &Gómez Benito, J. (2020). International test com-mission guidelines for test adaptation: A crite-rion checklist.Psicothema,32(3), 390–398.https://doi.org/10.7334/psicothema2019.306Holst, Y., & Thorell, L. B. (2018). Adult executive functioning inventory (ADEXI): Validity, reliability, and relations to ADHD. International Journal of Methods in Psychiatric Research, 27, e1567. https://doi.org/10.1002/mpr.1567Hu, L., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76–99). SAGE.Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118Johnco, C., Wuthrich, V. M., & Rapee, R. M. (2014). Re-liability and validity of two self-report measuresof cognitive flexibility.Psychological assessment,26(4), 1381.López, M. B., Arán Filippetti, V., & Richaud, M. C. (2014). Empatía: desde la percepción automática hasta los procesos controlados. Avances en Psicología Latinoamericana, 32(1), 37-51. dx.doi.org/10.12804/apl32.1.2014.03López, M. B., Arán Filippetti, V., & Richaud, M. C. (2021). Adult Executive Functioning Inventory (ADEXI): Factor structure, convergent validity, and reliability of a Spanish adaptation. Applied Neuropsychology: Adult, 1-7. https://doi.org/10.1080/23279095.2021.1880408Luria, A. R. (1966). Higher cortical functions in man. Basic Books.Martin, M. M., & Anderson, C. M. (1998). The cognitive flexibility scale: Three validity studies. Communication Reports, 11(1), 1-9. https://doi.org/10.1080/08934219809367680Martin, M. M., & Rubin, R. B. (1995). A new measure of cognitive flexibility. Psychological reports, 76(2), 623-626. https://doi.org/10.2466/pr0.1995.76.2.623Mestre Escrivá, V., Frías Navarro, M. D., & Samper García, P. (2004). La medida de empatía: análisis del Interpersonal Reactivity Index. Psicothema, 255-260.Miyake, A., Friedman, N. P., Emerson, M. J., Witzki,A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis.Cognitive psychology,41(1), 49–100.Montero, I., & León, O. G. (2007). A guide for research studies in Psychology.International Journal of Clinical and Health psychology,7(3),847–862.Navarro, M. C., Quiroz Molinares, N., & Mebarak, M.(2022). Psychometric Study of the Cognitive Flexibility Inventory in a Colombian Sample.International Journal of Psychological Research,15(1), 42–54.Osgood, C., Suci, G., Tannenbaum, P. (1957): The measurement of meaning. University of Illinois Press. Stuss, D. T. & Benson, D. F. (1986). The frontal lobes. Raven Press.Oshiro, K., Nagaoka, S., & Shimizu, E. (2016). Development and validation of the Japanese version of cognitive flexibility scale.BMC research notes,9, 1–8.https://doi.org/10.1186/s13104-016-2070-yRegard, M., Strauss, E., & Knapp, P. (1982). Children’s production on verbal and non-verbal communication tasks. Perceptual and motor skills,55(3), 839–844.Reitan, R. M., & Wolfson, D. (1993).The Halstead-Reitan Neuropsychological Test Battery: Theory and Clinical Interpretation.2nd edn. Neuropsychology Press, Tuscon, AZ.Stuss, D. T., & Benson, D. F. (1986).The frontal lobes.Raven Pressinfo: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/6106Cognitive FlexibilityAdaptationReliabilityValidityFlexibilidad cognitivaadaptaciónconfiabilidadvalidezValidez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)Validez y consistencia interna de la versión en español de Cognitive Flexibility Scale (CFS)Artículo 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/xml2680https://bibliotecadigital.usb.edu.co/bitstreams/bcdd9046-9d8b-434a-885d-fc58c48a2e42/download1ff29460f310a077b0d39e90a335e30fMD5110819/28963oai:bibliotecadigital.usb.edu.co:10819/289632025-08-22 11:59:17.198http://creativecommons.org/licenses/by-nc-nd/4.0https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com

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