Skip to main content
Original Article

Spanish Adaptation of the D70 – The Dark Core of Personality in Spanish-Speaking Countries

Published Online:https://doi.org/10.1027/1015-5759/a000836

Abstract: Socially aversive (“dark”) personality traits (e.g., Psychopathy, Narcissism, Machiavellianism, etc.) share many features which led Moshagen et al. (2018) to conceptualize D, the common core between them. This work aims to establish internal structure evidence for the validation of the Spanish version of its measure (D70) and to demonstrate measurement invariance across sex and country based on a total of 12,356 participants from six countries (Spain, Mexico, Argentina, Colombia, Chile, Peru). Item analysis, reliability, and confirmatory factor analysis following a bifactor structure were performed in each sample in order to assess the psychometric properties of the test, following tests of measurement invariance regarding sex and country. Results showed that the Spanish version of the D70 is an essentially unidimensional and reliable measure, and further supported invariance across sex and countries. This gives cross-cultural researchers a new tool for studying the common core of dark personality in Spanish-speaking countries, and the applied psychologist the possibility to assess socially aversive personalities from the dark factor model.

References

  • AERA, APA, & NCME. (2014). Standards for educational and psychological testing. American Psychological Association. First citation in articleGoogle Scholar

  • Aluja, A., García, L. F., Rossier, J., Ostendorf, F., Glicksohn, J., Oumar, B., Bellaj, T., Ruch, W., Wang, W., Suranyi, Z., Ścigała, D., Čekrlija, Đ., Stivers, A. W., Blas, L. D., Valdivia, M., Ben Jemaa, S., Atitsogbe, K. A., & Hansenne, M. (2022). Dark Triad traits, social position, and personality: A cross-cultural study. Journal of Cross-Cultural Psychology, 53(3–4), 380–402. https://doi.org/10.1177/00220221211072816 First citation in articleCrossrefGoogle Scholar

  • Badejo, M. A., Ramtin, S., Rossano, A., Ring, D., Koenig, K., & Crijns, T. J. (2022). Does adjusting for social desirability reduce ceiling effects and increase variation of patient-reported experience measures? Journal of Patient Experience, 9, 237437352210791. https://doi.org/10.1177/23743735221079144 First citation in articleCrossrefGoogle Scholar

  • Bader, M., Hartung, J., Hilbig, B. E., Zettler, I., Moshagen, M., & Wilhelm, O. (2021). Themes of the dark core of personality. Psychological Assessment, 33(6), 511–525. https://doi.org/10.1037/pas0001006 First citation in articleCrossrefGoogle Scholar

  • Bader, M., Horsten, L. K., Hilbig, B. E., Zettler, I., & Moshagen, M. (2022). Measuring the dark core of personality in German: Psychometric properties, measurement invariance, predictive validity, and self-other agreement. Journal of Personality Assessment, 104(5), 660–673. https://doi.org/10.1080/00223891.2021.1984931 First citation in articleCrossrefGoogle Scholar

  • Bader, M., Jobst, L. J., & Moshagen, M. (2022). Sample size requirements for bifactor models. Structural Equation Modeling: A Multidisciplinary Journal, 29(5), 772–783. https://doi.org/10.1080/10705511.2021.2019587 First citation in articleCrossrefGoogle Scholar

  • Bader, M., Jobst, L. J., Zettler, I., Hilbig, B. E., & Moshagen, M. (2021). Disentangling the effects of culture and language on measurement noninvariance in cross-cultural research: The culture, comprehension, and translation bias (CCT) procedure. Psychological Assessment, 33(5), 375–384. https://doi.org/10.1037/pas0000989 First citation in articleCrossrefGoogle Scholar

  • Bader, M., & Moshagen, M. (2022). Assessing the fitting propensity of factor models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000529 First citation in articleCrossrefGoogle Scholar

  • Book, A., Visser, B. A., & Volk, A. A. (2015). Unpacking “evil”: Claiming the core of the Dark Triad. Personality and Individual Differences, 73, 29–38. https://doi.org/10.1016/j.paid.2014.09.016 First citation in articleCrossrefGoogle Scholar

  • Brunner, M., Nagy, G., & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs. Journal of Personality, 80(4), 796–846. https://doi.org/10.1111/j.1467-6494.2011.00749.x First citation in articleCrossrefGoogle Scholar

  • Buckels, E. E., Jones, D. N., & Paulhus, D. L. (2013). Behavioral confirmation of everyday sadism. Psychological Science, 24(11), 2201–2209. https://doi.org/10.1177/0956797613490749 First citation in articleCrossrefGoogle Scholar

  • Cale, E. M., & Lilienfeld, S. O. (2002). Sex differences in psychopathy and antisocial personality disorder. Clinical Psychology Review, 22(8), 1179–1207. https://doi.org/10.1016/S0272-7358(01)00125-8 First citation in articleCrossrefGoogle Scholar

  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834 First citation in articleCrossrefGoogle Scholar

  • Chen, F. F., West, S., & Sousa, K. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189–225. https://doi.org/10.1207/s15327906mbr4102_5 First citation in articleCrossrefGoogle Scholar

  • Denissen, J. J. A., Soto, C. J., Geenen, R., John, O. P., & van Aken, M. A. G. (2022). Incorporating prosocial vs. antisocial trait content in Big Five measurement: Lessons from the Big Five Inventory-2 (BFI-2). Journal of Research in Personality, 96, 104–147. https://doi.org/10.1016/j.jrp.2021.104147 First citation in articleCrossrefGoogle Scholar

  • Dueber, D. (2021). BifactorIndicesCalculator: Bifactor indices calculator. https://CRAN.R-project.org/package=BifactorIndicesCalculator First citation in articleGoogle Scholar

  • Ferrando, P. J., Lorenzo-Seva, U., & Chico, E. (2009). A general factor-analytic procedure for assessing response bias in questionnaire measures. Structural Equation Modeling, 16(2), 364–381. https://doi.org/10.1080/10705510902751374 First citation in articleCrossrefGoogle Scholar

  • Ferrando, P. J., Lorenzo-Seva, U., Hernández-Dorado, A., & Muñiz, J. (2022). Decalogue for the factor analysis of test items. Psicothema, 34(34), 7–17. https://doi.org/10.7334/psicothema2021.456 First citation in articleCrossrefGoogle Scholar

  • Furnham, A., Richards, S., Rangel, L., & Jones, D. N. (2014). Measuring malevolence: Quantitative issues surrounding the Dark Triad of personality. Personality and Individual Differences, 67, 114–121. https://doi.org/10.1016/j.paid.2014.02.001 First citation in articleCrossrefGoogle Scholar

  • García-Fernández, J. (2023). R Code for the analysis of the Spanish version of the D-70. https://doi.org/10.23668/PSYCHARCHIVES.12551 First citation in articleCrossrefGoogle Scholar

  • Grice, J. W. (2001). Computing and evaluating factor scores. Psychological Methods, 6(4), 430–450. https://doi.org/10.1037/1082-989X.6.4.430 First citation in articleCrossrefGoogle Scholar

  • Hancock, G. R., & Mueller, R. O. (2001). Rethinking construct reliability within latent variable systems. In R. CudeckS. du ToitD. SörbomEds., Structural equation modeling: Present and future – A Festschrift in honor of Karl Jöreskog (pp. 195–216). Scientific Software International. First citation in articleGoogle Scholar

  • Hartung, J., Bader, M., Moshagen, M., & Wilhelm, O. (2022). Age and gender differences in socially aversive (“dark”) personality traits. European Journal of Personality, 36(1), 3–23. https://doi.org/10.1177/0890207020988435 First citation in articleCrossrefGoogle Scholar

  • Hilbig, B. E., Thielmann, I., Klein, S. A., Moshagen, M., & Zettler, I. (2021). The Dark core of personality and socially aversive psychopathology. Journal of Personality, 89(2), 216–227. https://doi.org/10.1111/jopy.12577 First citation in articleCrossrefGoogle Scholar

  • Hilbig, B. E., Thielmann, I., Zettler, I., & Moshagen, M. (2022). The dispositional essence of proactive social preferences: The dark core of personality vis-à-vis 58 traits. Psychological Science, 34(2), 201–220. https://doi.org/10.1177/09567976221116893 First citation in articleCrossrefGoogle Scholar

  • Instituto Cervantes. (2021). El Español en el Mundo: Anuario del Instituto Cervantes [Spanish in the world: Instituto Cervantes Yearbook]. https://cvc.cervantes.es/lengua/anuario/anuario_21/default.htm First citation in articleGoogle Scholar

  • International Test Commission. (2017). The ITC guidelines for translating and adapting tests (2nd ed.). https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf First citation in articleGoogle Scholar

  • Jakobwitz, S., & Egan, V. (2006). The Dark Triad and normal personality traits. Personality and Individual Differences, 40(2), 331–339. https://doi.org/10.1016/j.paid.2005.07.006 First citation in articleCrossrefGoogle Scholar

  • Jobst, L. J., Bader, M., & Moshagen, M. (2023). A tutorial on assessing statistical power and determining sample size for structural equation models. Psychological Methods, 28(1), 207–221. https://doi.org/10.1037/met0000423 First citation in articleCrossrefGoogle Scholar

  • Jonason, P. K., & Davis, M. D. (2018). A gender role view of the Dark Triad traits. Personality and Individual Differences, 125, 102–105. https://doi.org/10.1016/j.paid.2018.01.004 First citation in articleCrossrefGoogle Scholar

  • Jonason, P. K., Foster, J. D., Egorova, M. S., Parshikova, O., Csathó, Á., Oshio, A., & Gouveia, V. V. (2017). The Dark Triad traits from a life history perspective in six countries. Frontiers in Psychology, 8, Article 1476. https://doi.org/10.3389/fpsyg.2017.01476 First citation in articleCrossrefGoogle Scholar

  • Jonason, P. K., Foster, J., Oshio, A., Sitnikova, M., Birkas, B., & Gouveia, V. (2017). Self-construals and the Dark Triad traits in six countries. Personality and Individual Differences, 113, 120–124. https://doi.org/10.1016/j.paid.2017.02.053 First citation in articleCrossrefGoogle Scholar

  • Jones, D. N., & Figueredo, A. J. (2013). The core of darkness: Uncovering the heart of the Dark Triad. European Journal of Personality, 27(6), 521–531. https://doi.org/10.1002/per.1893 First citation in articleCrossrefGoogle Scholar

  • Jorgensen, T. D., Ponprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2022). SemTools: Useful tools for structural equation modeling. https://CRAN.R-project.org/package=semTools First citation in articleGoogle Scholar

  • Marcus, D. K., & Zeigler-Hill, V. (2015). A big tent of dark personality traits. Social and Personality Psychology Compass, 9(8), 434–446. https://doi.org/10.1111/spc3.12185 First citation in articleCrossrefGoogle Scholar

  • McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum. First citation in articleGoogle Scholar

  • Moshagen, M. (2023). When a truly positive correlation turns negative: How different approaches to model hierarchically structured constructs affect estimated correlations to covariates. European Journal of Personality, 37(1), 95–112. https://doi.org/10.1177/08902070211050170 First citation in articleCrossrefGoogle Scholar

  • Moshagen, M., & Erdfelder, E. (2016). A new strategy for testing structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 23(1), 54–60. https://doi.org/10.1080/10705511.2014.950896 First citation in articleCrossrefGoogle Scholar

  • Moshagen, M., Hilbig, B. E., & Zettler, I. (2018). The dark core of personality. Psychological Review, 125(5), 656–688. https://doi.org/10.1037/rev0000111 First citation in articleCrossrefGoogle Scholar

  • Moshagen, M., Zettler, I., & Hilbig, B. E. (2020). Measuring the dark core of personality. Psychological Assessment, 32(2), 182–196. https://doi.org/10.1037/pas0000778 First citation in articleCrossrefGoogle Scholar

  • Muthén, B., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. https://www.statmodel.com/papers_date.shtml First citation in articleGoogle Scholar

  • Navarro-González, D., Lorenzo-Seva, U., & Vigil-Colet, A. (2016). How response bias affects the factorial structure of personality self-reports. Psicothema, 28(4), 465–470. https://doi.org/10.7334/psicothema2016.113 First citation in articleCrossrefGoogle Scholar

  • Paulhus, D. L. (2014). Toward a taxonomy of dark personalities. Current Directions in Psychological Science, 23(6), 421–426. https://doi.org/10.1177/0963721414547737 First citation in articleCrossrefGoogle Scholar

  • Paulhus, D. L., Buckels, E. E., Trapnell, P. D., & Jones, D. N. (2021). Screening for dark personalities: The Short Dark Tetrad (SD4). European Journal of Psychological Assessment, 37(3), 208–222. https://doi.org/10.1027/1015-5759/a000602 First citation in articleLinkGoogle Scholar

  • Paulhus, D. L., & Williams, K. M. (2002). The Dark Triad of personality: Narcissism, Machiavellianism, and psychopathy. Journal of Research in Personality, 36(6), 556–563. https://doi.org/10.1016/S0092-6566(02)00505-6 First citation in articleCrossrefGoogle Scholar

  • Pechorro, P., Curtis, S., DeLisi, M., Maroco, J., & Nunes, C. (2022). Dark Triad psychopathy outperforms self-control in predicting antisocial outcomes: A structural equation modeling approach. European Journal of Investigation in Health, Psychology and Education, 12(6), 549–562. https://doi.org/10.3390/ejihpe12060041 First citation in articleCrossrefGoogle Scholar

  • R Core Team. (2022). R: A language and environment for statistical computing. https://www.R-project.org/ First citation in articleGoogle Scholar

  • Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667–696. https://doi.org/10.1080/00273171.2012.715555 First citation in articleCrossrefGoogle Scholar

  • Rogoza, R., Żemojtel-Piotrowska, M., Jonason, P. K., Piotrowski, J., Campbell, K. W., Gebauer, J. E., Maltby, J., Sedikides, C., Adamovic, M., Adams, B. G., Ang, R. P., Ardi, R., Atitsogbe, K. A., Baltatescu, S., Bilić, S., Bodroža, B., Gruneau Brulin, J., Bundhoo Poonoosamy, H. Y., Chaleeraktrakoon, T., … Włodarczyk, A. (2021). Structure of Dark Triad Dirty Dozen across eight world regions. Assessment, 28(4), 1125–1135. https://doi.org/10.1177/1073191120922611 First citation in articleCrossrefGoogle Scholar

  • Rosseel, Y. (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 First citation in articleCrossrefGoogle Scholar

  • Schreiber, A., & Marcus, B. (2020). The place of the “Dark Triad” in general models of personality: Some meta-analytic clarification. Psychological Bulletin, 146(11), 1021–1041. https://doi.org/10.1037/bul0000299 First citation in articleCrossrefGoogle Scholar

  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s Alpha. Psychometrika, 74(1), 107–120. https://doi.org/10.1007/s11336-008-9101-0 First citation in articleCrossrefGoogle Scholar

  • Sleep, C. E., Crowe, M. L., Carter, N. T., Lynam, D. R., & Miller, J. D. (2021). Uncovering the structure of antagonism. Personality Disorders: Theory, Research, and Treatment, 12(4), 300–311. https://doi.org/10.1037/per0000416 First citation in articleCrossrefGoogle Scholar

  • Thompson, M. S. (2016). Assessing measurement invariance of scales using multiple-group structural equation modeling. In K. SchweizerC. DiStefanoEds., Principles and methods of test construction (pp. 218–246). Hogrefe Publishing. First citation in articleGoogle Scholar

  • Vigil-Colet, A., Lorenzo-Seva, U., & Morales-Vives, F. (2015). The effects of ageing on self-reported aggression measures are partly explained by response bias. Psicothema, 27(3), 209–215. https://doi.org/10.7334/psicothema2015.32 First citation in articleCrossrefGoogle Scholar

  • Vigil-Colet, A., Ruiz-Pamies, M., Anguiano-Carrasco, C., & Lorenzo-Seva, U. (2012). The impact of social desirability on psychometric measures of aggression. Psicothema, 24(2), 310–315. First citation in articleGoogle Scholar

  • Vize, C. E., Miller, J. D., & Lynam, D. R. (2021). Examining the conceptual and empirical distinctiveness of agreeableness and “Dark” personality items. Journal of Personality, 89(3), 594–612. https://doi.org/10.1111/jopy.12601 First citation in articleCrossrefGoogle Scholar

  • Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), Article 1686. https://doi.org/10.21105/joss.01686 First citation in articleCrossrefGoogle Scholar

  • Wright, J. P., Morgan, M. A., Almeida, P. R., Almosaed, N. F., Moghrabi, S. S., & Bashatah, F. S. (2017). Malevolent forces: Self-control, the dark triad, and crime. Youth Violence and Juvenile Justice, 15(2), 191–215. https://doi.org/10.1177/1541204016667995 First citation in articleCrossrefGoogle Scholar

  • Zettler, I., Moshagen, M., & Hilbig, B. E. (2021). Stability and change: The dark factor of personality shapes dark traits. Social Psychological and Personality Science, 12(6), 974–983. https://doi.org/10.1177/1948550620953288 First citation in articleCrossrefGoogle Scholar