El factor p. ¿La estructura subyacente a la psicopatología?

Autores/as

  • Silvana Andrea Montes Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), República Argentina. Facultad de Psicología, Universidad Nacional de Mar del Plata, Buenos Aires, Argentina.
  • Roberto Oscar Sanchez Facultad de Psicología, Universidad Nacional de Mar del Plata, Buenos Aires, Argentina. Centro de Asistencia Psicológica Mar del Plata (CAPsi)

DOI:

https://doi.org/10.35670/1667-4545.v19.n3.26774

Palabras clave:

rasgos patológicos de personalidad, factor general de psicopatología, modelos dimensionales, PID-5, análisis factorial confirmatorio, modelo bifactor

Resumen

La psicopatología se encuentra en un momento de crisis. Los sistemas clasificatorios categoriales han recibido diversas críticas por parte de investigadores y de clínicos. Nuevas propuestas intentan presentar un modelo superador, dimensional y jerárquico. Entre ellas se destacan las que postulan la existencia de un factor general de psicopatología. En este trabajo se buscó analizar la estructura subyacente a los rasgos de personalidad patológicos del modelo dimensional alternativo del DSM-5, buscando aportar evidencia a tales propuestas. Para esto, se examinó la estructura interna de una versión en castellano del Inventario de Personalidad para el DSM-5 [PID-5], mediante análisis factorial confirmatorio. Se compararon cuatro modelos alternativos: el modelo original de cinco factores, de un factor de orden superior, modelo bifactor y unidimensional. El modelo bifactor presentó un mejor ajuste a los datos. Esto sugiere que las variables observadas reflejan cinco rasgos patológicos específicos pero también una propensión general a la psicopatología.

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Silvana Andrea Montes, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), República Argentina. Facultad de Psicología, Universidad Nacional de Mar del Plata, Buenos Aires, Argentina.

Dra. en Psicología, Investigadora Asistente CONICET, docente de la Facultad de Psicología, UNMdP.

Roberto Oscar Sanchez, Facultad de Psicología, Universidad Nacional de Mar del Plata, Buenos Aires, Argentina. Centro de Asistencia Psicológica Mar del Plata (CAPsi)

Lic. en Psicología / Esp. En Docencia Universitaria. Docente e Investigador de la Facultad de Psicología, UNMdP.

Citas

Al-Dajani, N., Gralnick, T. M., & Bagby, R. M. (2016). A psychometric review of the Personality Inventory for DSM-5 (PID-5): Current status and future directions. Journal of Personality Assessment, 98(1), 62-81. doi: 10.1080/00223891.2015.1107572

American Psychiatric Association. (1952). Diagnostic and statistical manual of mental disorders. Washington, D. C.: Author.

American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders. DSM-III (3ª ed.). Washington, D. C.: Author.

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders. DSM-IV (4ª ed.). Washington, D. C.: Author.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders. DSM-5 (5ª ed.). Washington, D. C.: Author. doi: 10.1176/appi.books.9780890425596

Arias, V. B., Ponce, F. P., & Núñez, D. E. (2018). Bifactor models of attention-deficit/hyperactivity disorder (ADHD): An evaluation of three necessary but underused psychometric indexes. Assessment, 25(7), 885-897. doi: 10.1177/1073191116679260

Batstra, L., & Thoutenhoofd, E. D. (2012). The risk that DSM-5 will further inflate the diagnostic bubble. Current Psychiatry Reviews, 8(4), 260-263. doi: 10.2174/157340012803520531

Blashfield, R., Flanagan, E., & Raley, K. (2010). Themes in the evolution of the 20th-Century DSMs. En T. Millon, R. F. Krueger & E. Simonsen (Eds.), Contemporary directions in psychopathology: Scientific foundations of the DSM-V and ICD-11 (pp. 53-71). New York, NY: Guilford.

Bonifay, W., Lane, S. P., & Reise, S. P. (2017). Three concerns with applying a bifactor model as a structure of psychopathology. Clinical Psychological Science, 5(1), 184-186. doi: 10.1177/2167702616657069

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. doi: 10.1177/0049124192021002005

Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H. L., Israel, S., … Moffitt, T. E. (2014). The p Factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2(2), 119-137. doi: 10.1177/2167702613497473

Caspi, A., & Moffitt, T. E. (2018). All for one and one for all: Mental disorders in one dimension. The American Journal of Psychiatry, 175(9), 831-844. doi: 10.1176/appi.ajp.2018.17121383

Conway, C. C., Forbes, M. K., Forbush, K. T., Fried, E. I., Hallquist, M. N., Kotov, R., … Eaton, N. R. (2019). A hierarchical taxonomy of psychopathology can transform mental health research. Perspectives on Psychological Science, 14(3), 419-436. doi: 10.1177/1745691618810696

Coolidge, F. L., & Segal, D. L. (1998). Evolution of personality disorder diagnosis in the Diagnostic and Statistical Manual of Mental Disorders. Clinical Psychology Review, 18(5), 585-599. doi: 10.1016/S0272-7358(98)00002-6

Costa, P. T., & Widiger, T. A. (1994). Personality disorders and the five-factor model of personality. Washington, DC: American Psychological Association. Recuperado de doi: 10.1037/10140-000

Dominguez-Lara, S. A. (2016). Evaluación de la confiabilidad del constructo mediante el coeficiente H: Breve revisión conceptual y aplicaciones. Psychologia. Avances de la Disciplina, 10(2), 87-94. doi: 10.21500/19002386.2134

Dominguez-Lara, S. A., & Rodriguez, A. (2017). Índices estadísticos de modelos bifactor. Interacciones, 3, 59-65. doi: 10.24016/2017.v3n2.51

Flores-Kanter, P. E., Dominguez-Lara, S., Trógolo, M. A., & Medrano, L. A. (2018). Best practices in the use of bifactor models: Conceptual grounds, fit indices and complementary indicators. Revista Evaluar, 18(3), 44-48. doi: 10.35670/1667-4545.v18.n3.22221

Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2015). Should sexual problems be included in the internalising spectrum? A comparison of dimensional and categorical models. Journal of Sex & Marital Therapy, 42(1), 70-90. doi: 10.1080/0092623X.2014.996928

Frances, A. (2010). Opening Pandora’s box: The 19 worst suggestions for DSM5. Psychiatric Times, 27(9).

Frances, A. (2014). ¿Somos todos enfermos mentales? Manifiesto contra los abusos de la Psiquiatría. Barcelona, España: Ariel.

Gagne, P., & Hancock, G. R. (2006). Measurement model quality, sample size, and solution propriety in confirmatory factor models. Multivariate Behavioral Research, 41(1), 65-83. doi: 10.1207/s15327906mbr4101_5

Gutiérrez, F., Aluja, A., Peri, J. M., Calvo, N., Ferrer, M., Baillés, E., ... Krueger, R. F. (2017). Psychometric properties of the Spanish PID-5 in a clinical and a community sample. Assessment, 24(3), 326-336. doi: 10.1177/1073191115606518

Hancock, G. R. (2001). Effect size, power, and sample size determination for structured means modeling and MIMIC approaches to between-groups hypothesis testing of means on a single latent construct. Psychometrika, 66(3), 373-388. doi: 10.1007/BF02294440

Haslam, N., Holland, E., & Kuppens P. (2012). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine, 42(5), 903-920. doi: 10.1017/S0033291711001966

Holzinger, K. J., & Swineford, F. (1937). The bi-factor method. Psychometrika, 2(1), 41-54. doi: 10.1007/bf02287965

Hopwood, C. J., Malone, J. C., Ansell, E. B., Sanislow, C. A., Grilo, C. M., McGlashan, T. H., … Morey, L. C. (2011). Personality assessment in DSM-V: Empirical support for rating severity, style, and traits. Journal of Personality Disorders, 25(3), 305-320. doi: 10.1521/pedi.2011.25.3.305

Hoyle, R. H.. (2012). Handbook of structural equation modeling. New York, NY: Guilford Press.

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), 1-55. doi: 10.1080/10705519909540118

John, O. P., & Srivastava, S. (1999). The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. En L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (pp. 102-138). New York, NY: Guilford.

Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8.80. Chicago: Scientific Software International.

Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 617-627. doi: 10.1001/archpsyc.62.6.617

Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454-477. doi: 10.1037/abn0000258

Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42(9), 1879-1890. doi: 10.1017/S0033291711002674

Krueger, R. F., Kotov, R., Watson, D., Forbes, M. K., Eaton, N. R., Ruggero, C. J., ... Zimmermann, J. (2018). Progress in achieving quantitative classification of psychopathology. World Psychiatry, 17(3), 282-293. doi: 10.1002/wps.20566

Kupfer, D. J., First, M. B., & Regier, D. A. (Eds.). (2002). A research agenda for DSM-V. Washington, D. C.: American Psychological Association.

Lahey, B. B., Applegate, B., Hakes, J. K., Zald, D. H., Hariri, A. R., & Rathouz, P. J. (2012). Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology, 121, 971-977. doi: 10.1037/a0028355

Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017). A hierarchical causal taxonomy of psychopathology across the life span. Psychological Bulletin, 143(2), 142-186. doi: 10.1037/bul0000069

Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936-949. doi: 10.3758/s13428-015-0619-7

Livesley, J. (2012). Tradition versus empiricism in the current DSM-5 proposal for revising the classification of personality disorders. Criminal Behaviour and Mental Health, 22(2), 81-90. doi: 10.1002/cbm.1826

Lorenzo-Seva, U., & Ferrando, P. J. (2013). FACTOR 9.2: A comprehensive program for fitting exploratory and semiconfirmatory factor analysis and IRT models. Applied Psychological Measurement, 37(6), 497-498. doi: 10.1177/0146621613487794

Mayes, R., & Horwitz, A. V. (2005). DSM-III and the revolution in the classification of mental illness. Journal of the History of the Behavioral Sciences, 41(3), 249-267. doi: 10.1002/jhbs.20103

Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57(3), 519-530. doi: 10.2307/2334770

Millon, T. (1983). The DSM-III: An insider’s perspective. American Psychologist, 38(7), 804-814. doi: 10.1037/0003-066X.38.7.804

Mîndrilă, D. (2010). Maximum Likelihood (ML) and Diagonally Weighted Least Squares (DWLS) estimation procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal of Digital Society, 1(1), 60-66. doi: 10.20533/ijds.2040.2570.2010.0010

Muthukrishna, M., & Henrich, J. (2019). A problem in theory. Nature Human Behaviour, 3(3), 221-229. doi: 10.1038/s41562-018-0522-1

Paris, J. (2012). The risk that DSM-5 will give personality dimensions a bad name. Current Psychiatry Reviews, 8(4), 268-270. doi: 10.2174/157340012803520441

Patrick, C. J., Hicks, B. M., Nichol, P. E., & Krueger, R. F. (2007). A bifactor approach to modeling the structure of the Psychopathy Checklist-Revised. Journal of Personality Disorders, 21(2), 118-141. doi: 10.1521/pedi.2007.21.2.118

Quinn, H. O. (2014). Bifactor models, Explained Common Variance (ECV), and the usefulness of scores from unidimensional item response theory analyses. (Tesis de Maestría Inédita). University of North Carolina at Chapel Hill, Chapel Hill, NC.

Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667-696. doi: 10.1080/00273171.2012.715555

Reise, S. P., Kim, D. S., Mansolf, M., & Widaman, K. F. (2016). Is the bifactor model a better model or is it just better at modeling implausible responses? Application of iteratively reweighted least squares to the Rosenberg Self-Esteem scale. Multivariate Behavioral Research, 51(6), 818-838. doi: 10.1080/00273171.2016.1243461

Ringwald, W. R., Beeney, J. E., Pilkonis, P. A., & Wright, A. G. (2019). Comparing hierarchical models of personality pathology. Journal of Research in Personality, 81, 98-107. doi: 10.1016/j.jrp.2019.05.011

Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137-150. doi: 10.1037/met0000045

Sanchez, R. O. (en prensa). Modelos dimensionales para los trastornos de la personalidad: Un proceso inconcluso. Revista Argentina de Clínica Psicológica. doi: 10.24205/03276716.2019.1126

Sanchez, R. O., & Ledesma, R. (2007). Los Cinco Grandes Factores: Cómo entender la personalidad y cómo evaluarla. En A. Monjeau (Ed.), Conocimiento para la transformación (pp. 131-160). Mar del Plata, Argentina: Universidad Atlántida Argentina.

Sánchez, R. O. & Montes, S. A. (2019). La taxonomía jerárquica y el factor general de psicopatología. Acta Psiquiátrica y Psicológica de América Latina, 65(2), 116-129.

Sanchez, R. O., Montes, S. A., & Somerstein, L. D. (en prensa). Inventario de Personalidad para el DSM-5: Propiedades psicométricas en población argentina. Estudio preliminar. Interdisciplinaria.

Satorra, A., & Bentler, P. M. (1990). Model conditions for asymptotic robustness in the analysis of linear relations. Computational Statistics & Data Analysis, 10(3), 235-249. doi: 10.1016/0167-9473(90)90004-2

Sharp, C., Wright, A. G. C., Fowler, J. C., Frueh, B. C., Allen, J. G., Oldham, J., & Clark, L. A. (2015). The structure of personality pathology: Both general (‘g’) and specific (‘s’) factors? Journal of Abnormal Psychology, 124(2), 387-398. doi: 10.1037/abn0000033

Shedler, J., Beck, A., Fonagy, P., Gabbard, G. O., Gunderson, J., Kernberg, O., ... Westen, D. (2010). Personality disorders in DSM-5. The American Journal of Psychiatry, 167(9), 1026-1028. doi: 10.1176/appi.ajp.2010.10050746

Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107-120. doi: 10.1007/s11336-008-9101-0

Snyder, H. R., Young, J. F., & Hankin, B. L. (2017). Strong homotypic continuity in common psychopathology-, internalizing-, and externalizing-specific factors over time in adolescents. Clinical Psychological Science, 5(1), 98-110. doi: 10.1177/2167702616651076

Smits, I. A. M., Timmerman, M. E., Barelds, D. P. H., & Meijer, R. R. (2015). The Dutch symptom checklist-90-revised: Is the use of the subscales justified? European Journal of Psychological Assessment, 31(4), 263-271. doi: 10.1027/1015-5759/a000233

Stucky, B. D., Thissen, D., & Edelen, M. O. (2013). Using logistic approximations of marginal trace lines to develop short assessments. Applied Psychological Measurement, 37(1), 41-57. doi: 10.1177/0146621612462759

Ten-Berge, J. M., & Sočan, G. (2004). The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality. Psychometrika, 69(4), 613-625. doi: 10.1007/BF02289858

Tyrer, P. (2005). The problem of severity in the classification of personality disorder. Journal of Personality Disorders, 19(3), 309-314. doi: 10.1521/pedi.2005.19.3.309

Urbán, R., Arrindell, W. A., Demetrovics, Z., Unoka, Z., & Timman, R. (2016). Cross-cultural confirmation of bi-factor models of a symptom distress measure: Symptom Checklist-90-Revised in clinical samples. Psychiatry Research, 239, 265-274. doi: 10.1016/j.psychres.2016.03.039

Van de Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9(4), 486-492. doi: 10.1080/17405629.2012.686740

Verheul, R. (2012). Personality disorder proposal for DSM-5: A heroic and innovative but nevertheless fundamentally flawed attempt to improve DSM-IV. Clinical Psychology & Psychotherapy, 19(5), 369-371. doi: 10.1002/cpp.1809

Waszczuk, M. A., Kotov, R., Ruggero, C., Gamez, W., & Watson, D. (2017). Hierarchical structure of emotional disorders: From individual symptoms to the spectrum. Journal of Abnormal Psychology, 126(5), 613-634. doi: 10.1037/abn0000264

Watters, C. A., & Bagby, R. M. (2018). A meta-analysis of the five-factor internal structure of the Personality Inventory for DSM-5. Psychological Assessment, 30(9), 1255-1260. doi: 10.1037/pas0000605

Widiger, T. (2011). A shaky future for personality disorders. Personality Disorders: Theory, Research, and Treatment, 2(1), 54-67. doi: 10.1037/a0021855

Widiger, T. (2013). A postmortem and future look at the personality disorders in DSM-5. Personality Disorders: Theory, Research, and Treatment, 4(4), 382-387. doi: 10.1037/per0000030

Zinbarg, R. E., Yovel, I., Revelle, W., & McDonald, R. P. (2006). Estimating generalizability to a latent variable common to all of a scale´s indicators: A comparison of estimators for ωh. Applied Psychological Measurement, 30(2), 121-144. doi: 10.1177/0146621605278814

Descargas

Publicado

2019-12-07

Cómo citar

Montes, S. A., & Sanchez, R. O. (2019). El factor p. ¿La estructura subyacente a la psicopatología?. Revista Evaluar, 19(3), 20–41. https://doi.org/10.35670/1667-4545.v19.n3.26774

Número

Sección

Investigaciones originales