Propiedades Psicométricas del Inventario de Pensamiento Dicotómico (DTI) en español

Autores/as

  • Juan Ignacio López Graduate School of Letters, Arts and Sciences, Waseda University, Tokyo, Japan Autor/a
  • Santiago Resett Universidad Austral, CONICET. Argentina Autor/a
  • Pablo Christian González-Caino Universidad Argentina de la Empresa. Argentina Autor/a
  • Atsushi Oshio Faculty of Letters, Arts and Sciences, Waseda University, Tokyo. Japan Autor/a

DOI:

https://doi.org/10.35670/1667-4545.v24.n2.46488

Palabras clave:

pensamiento dicotómico, propiedades, psicometría, DTI, estructura factorial

Resumen

El pensamiento dicotómico es una distorsión cognitiva que se caracteriza por emplear categorías extremas para clasificar situaciones o personas. El presente estudio tuvo como objetivo adaptar el Inventario de Pensamiento Dicotómico (DTI) en una muestra de adultos argentinos. Se constituyó una muestra intencional (n = 470) residentes en el Gran Buenos Aires y la Ciudad Autónoma de Buenos Aires, de entre 18 y 63 años (M = 30.71, DE = 10.76), de los cuales 367 eran mujeres. Los resultados del análisis factorial exploratorio y confirmatorio indicaron una estructura de dos dimensiones con adecuada confiabilidad (α = .78 para creencias dicotómicas, α = .72 para preferencia por la dicotomía, y α = .82 para el puntaje total). Se encontraron evidencias de validez convergente y discriminante, y se identificaron diferencias de género, lo que mostró mostrando niveles más altos de pensamiento dicotómico en hombres. La adaptación al español sugiere adecuadas propiedades psicométricas.

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Referencias

Arana, F. G., Keegan, E., & Rutsztein, G. (2009). Adaptación de una medida multidimensional de perfeccionismo: La Almost Perfect Scale-Revised (APS-R). Un estudio preliminar sobre sus propiedades psicométricas en una muestra de estudiantes universitarios argentinos. Revista Evaluar, 9(1), 35-53. https://doi.org/10.35670/1667-4545.v9.n1.463

Arquero, J. L., & McLain, D. L. (2010). Preliminary validation of the Spanish version of the Multiple Stimulus Types Ambiguity Tolerance Scale (MSTAT-II). The Spanish Journal of Psychology, 13(1), 476-484. https://doi.org/10.1017/s1138741600004029

Beck, A. T. (1963). Thinking and depression: I. Idiosyncratic content and cognitive distortions. Archives of General Psychiatry, 9(4), 324-333. https://doi.org/10.1001/archpsyc.1963.01720160014002

Beck, A. T. (1967). Depression: Clinical, experimental and theoretical aspects. Harper and Row.

Beck, A. T., Freeman, A., & Davis, D. D. , & Associates.(2004). Cognitive therapy of personality disorders (2nd ed.).The Guilford Press.

Bentler, P. M. (1992). On the fit of models to covariances and methodology to the Bulletin.. Psychological Bulletin, 112(3), 400-404. https://doi.org/10.1037/0033-2909.112.3.400

Bodenhausen, G. V., Kang, S. K., & Peery, D. (2012). Social categorization and the perception of social groups. In S. T. Fiske & C. N. Macrae (Eds.), The SAGE Handbook of Social Cognition (pp. 311-329). Sage. https://doi.org/10.4135/9781446247631

Bonfá-Araujo, B., Oshio, A., & Hauck-Filho, N. (2022). Seeing things in black and white: A scoping review on dichotomous thinking style. Japanese Psychological Research, 64(4), 461-472. https://doi.org/10.1111/jpr.12328

Brown, T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press.

Budner, S. (1962). Intolerance of ambiguity as a personality variable. Journal of Personality, 30(1), 29-50. https://doi.org/10.1111/j.1467-6494.1962.tb02303.x

Byrne, B. M. (20087). Factor analysis: Confirmatory. Wiley Encyclopedia of Clinical Trials, 1-7. https://doi.org/10.1002/9780471462422.eoct946

Byrne, B. M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge. https://doi.org/10.4324/9780203807644

Cupani, M. (2012). Análisis de ecuaciones estructurales: Conceptos, etapas de desarrollo y un ejemplo de aplicación. Revista Tesis, 2, 186-199. https://rdu.unc.edu.ar/handle/11086/22039

DeVellis, R. (2012). Scale development: Theory and applications. Sage.

Dibb-Smith, A. E., Brindal, E., Chapman, J., & Noakes, M. (2019). A mixed-methods investigation of psychological factors relevant to weight maintenance. Journal of Health Psychology, 24(4), 440-452. https://doi.org/10.1177/1359105316678053

Dugas, M. J., Gosselin, P., & Ladouceur, R. (2001). Intolerance of uncertainty and worry: Investigating specificity in a nonclinical sample. Cognitive Therapy and Research, 25(5), 551-558. https://doi.org/10.1023/A:1005553414688

Grenier, S., Barrette, A. -M., & Ladouceur, R. (2005). Intolerance of uncertainty and intolerance of ambiguity: Similarities and differences. Personality and Individual Differences, 39(3), 593-600. https://doi.org/10.1016/j.paid.2005.02.014

Guglielmo, S. S. (2015). Cognitive distortion: Propositions and possible worlds. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 33(1), 53-77. https://doi.org/10.1007/s10942-014-0202-7

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179-185. https://doi.org/10.1007/bf02289447

International Test Commission. (2017). The ITC guidelines for translating and adapting tests (2nd ed.). https://www.intestcom.org

Jonason, P. K., Oshio, A., Shimotsukasa, T., Mieda, T., Csathó, A.Sitnikova, M., & Sitnikova, M.Csathó, A. (2018). Seeing the world in black or white: The Dark Triad traits and dichotomous thinking. Personality and Individual Differences, 120, 102-106. https://doi.org/10.1016/j.paid.2017.08.030

Kaplan, R. M., & Saccuzzo, D. P. (2006). Pruebas psicológicas. Principios, aplicaciones y temas (6ta ed.). Thomson.

Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford.

Lauriola, M., Foschi, R., Mosca, O., & Weller, J. (2016). Attitude toward ambiguity: Empirically robust factors in self-report personality scales. Assessment, 23(3), 353-373. https://doi.org/10.1177/1073191115577188

Labovitz, S. (1968). Criteria for selecting a significance level: A note on the sacredness of .05. The American Sociologist, 3(3), 220-222. http://www.jstor.org/stable/27701367

Lorenzo-Seva, U. (2013). Why rotate my data using Promin? (Technical Report). Department of Psychology, Universitat Rovira i Virgili, Tarragona. https://www.psicologia.urv.cat/ca/

Matsunaga, M. (2010). How to factor-analyze your data right: Do’s, don’ts, and how-to’s. International Journal of Psychological Research, 3(1), 97-110. https://doi.org/10.21500/20112084.854

Mieda, T., Taku, K., & Oshio, A. (2021). Dichotomous thinking and cognitive ability. Personality and Individual Differences, 169, 110008. https://doi.org/10.1016/j.paid.2020.110008

Muñiz, J., Elosua, P., & Hambleton, R. K., & International Test Commission (2013). Directrices para la traducción y adaptación de los tests: Segunda edición [International Test Commission Guidelines for test translation and adaptation: Second edition]. Psicothema, 25(2), 151-157. https://doi.org/10.7334/psicothema2013.24

Namatame, H., Ueda, H., & Sawamiya, Y. (2015). Development of emotional intelligence through stress experiences: The role of dichotomous thinking. Journal of Health Science, 5(2), 42. https://doi.org/10.5923/j.health.20150502.03

Nguyen, N. (2020). Relationships between dichotomous thinking and other cognitive distortions. Undergraduate Psychology Research Methods Journal, 1(22), Art. 5. https://digitalcommons.lindenwood.edu/psych_journals/vol1/iss22/5

O'Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP Test. Behavior Research Methods, Instrumentation, and Computers, 32(3), 396-402. https://doi.org/10.3758/bf03200807

Orcan, F. (2018). Exploratory and confirmatory factor analysis: Which one to use first? Journal of Measurement and Evaluation in Education and Psychology, 9(4), 414-421. https://doi.org/10.21031/epod.394323

Oshio, A. (2009). Development and validation of the Dichotomous Thinking Inventory. Social Behavior and Personality: An International Journal, 37(6), 729-7412. https://doi.org/10.2224/sbp.2009.37.6.729

Oshio, A. (2010). Characteristics of the Dichotomous Thinking Inventory Japanese version: Review of scale development process and relations with aspects of everyday life. Journal of the College of Humanities (Chubu University), 23, 45-57.

Oshio, A. (2012). The relationship between dichotomous thinking and music preferences among Japanese undergraduates. Social Behavior and Personality: An International Journal, 40(4), 567-574. https://doi.org/10.2224/sbp.2012.40.4.567

Oshio, A., & Meshkova, T. (2012). Eating disorders, body image, and dichotomous thinking among Japanese and Russian college women. Health, 4(7), 392-399. https://doi.org/10.4236/health.2012.47062

Oshio, A., Mieda, T., & Taku, K. (2016). Younger people, and stronger effects of all-or-nothing thoughts on aggression: Moderating effects of age on the relationships between dichotomous thinking and aggression. Cogent Psychology, 3(1), 1244874. https://doi.org/10.1080/23311908.2016.1244874

Palascha, A., van Kleef, E., & van Trijp, H. C. M. (2015). How does thinking in black and white terms relate to eating behavior and weight regain? Journal of Health Psychology, 20(5), 638-648. https://doi.org/10.1177/1359105315573440

Slaney, R. B., Mobley, M., Trippi, J., Ashby, J. S., & Johnson, D. (1996). Almost Perfect Scale-Revised (APS-R) [Database record]. APA PsycTests. https://doi.org/10.1037/t02161-000

Stoeber, J. (2018). The psychology of perfectionism: An introduction. In J. Stoeber (Ed.), The psychology of perfectionism: Theory, research, applications (pp. 3-16). Routledge/Taylor & Francis.

Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Allyn & Bacon/Pearson.

Ueno, Y., Mieda, T., & Oshio, A. (2017). Correlations between factors characteristic of competitive sports and dichotomous thinking. Journal of Health Psychology Research, 30, 35-44. https://doi.org/10.11560/jhpr.161124063

van de Vijver, F., & Tanzer, N. K. (2004). Bias and equivalence in cross-cultural assessment: An overview. European Review of Applied Psychology, 54(2), 119-135. https://doi.org/10.1016/j.erap.2003.12.004

Veen, G., & Arntz, A. (2000). Multidimensional dichotomous thinking characterizes borderline personality disorder. Cognitive Therapy and Research, 24(1), 23-45. https://doi.org/10.1023/A:1005498824175

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Publicado

2024-09-27

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Cómo citar

Propiedades Psicométricas del Inventario de Pensamiento Dicotómico (DTI) en español. (2024). Revista Evaluar, 24(2), 13-25. https://doi.org/10.35670/1667-4545.v24.n2.46488