PAPELES DEL PSICÓLOGO Vol. 43-1 Enero - Abril 2022

siendo importante comprender cómo el diseño de la prueba y el mo- do de puntuación influye en su robustez al falseamiento, en la resolu- ción del problema de la ipsatividad y, en definitiva, en su validez predictiva. Los meta-análisis más recientes muestran que, en contex- tos aplicados, el uso de pruebas de elección forzosa cuasi-ipsativas constituye una estrategia prometedora para obtener una mayor vali- dez predictiva en el ámbito de la personalidad, con mayor resisten- cia al falseamiento que otros formatos (Martinez y Salgado, 2021). Finalmente, el avance de las nuevas tecnologías y el desarrollo de nuevos modelos psicométricos se presentan como dos potentes alia- dos que posibilitan la construcción de pruebas adaptadas al vuelo, optimizando el diseño de las pruebas y la puntuación de estas. CONFLICTO DE INTERESES No existe conflicto de intereses REFERENCIAS Abad, F. J., Sorrel, M. A., Garcia, L. F., & Aluja, A. (2018). 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Behavior research met- hods, 44 (4), 1135-1147. https://doi.org/10.3758/s13428- 012-0217-x Brown, A., & Maydeu-Olivares, A. (2018). Modelling forced-choice response formats. En P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley handbook of psychometric testing (pp. 523-569). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118489772.ch18 Bürkner, P.-C., Schulte, N., & Holling, H. (2019). On the statistical and practical limitations of Thurstonian IRT models. Educational and Psychological Measurement , 79 (5), 827-854. https://doi.org/10.1177/0013164419832063 Cao, M., & Drasgow, F. (2019). Does forcing reduce faking? A me- ta-analytic review of forced-choice personality measures in high- stakes situations. Journal of Applied Psychology , 104 (11), 1347-1368. https://doi.org/10.1037/apl0000414 Chen, C., Wang, W., Chiu, M. M., & Ro, S. (2020). Item selection and exposure control methods for computerized adaptive testing with mul- tidimensional ranking items. Journal of Educational Measurement , 57 (2), 343-369. https://doi.org/10.1111/jedm.12252 Cuadrado, D., Salgado, J. F., & Moscoso, S. (2021). Personality, in- telligence, and counterproductive academic behaviors: A meta- analysis. Journal of Personality and Social Psychology , 120 (2), 504-537. https://doi.org/10.1037/pspp0000285 Drasgow, F., Stark, S., Chernyshenko, O. S., Nye, C. D., Hulin, C. L., & White, L. A. (2012). Development of the tailored adaptive persona- lity assessment system (TAPAS) to support army personnel selection and classification decisions . Drasgow Consulting Group Urbana IL. Fisher, P., Robie, C., Christiansen, N., Speer, A., & Schneider, L. (2019). Criterion-related validity of forced-choice personality measures: A cautionary note regarding Thurstonian IRT versus classical test theory scoring. Personnel Assessment and Decisions , 5 (1). https://doi.org/10.25035/pad.2019.01.003 Frick, S., Brown, A. & Eunike Wetzel (2021) Investigating the normativity of trait estimates from multidimensional forced- c ho i ce da t a , Mu l t i va r i a t e Behav i o r a l Re s ea r ch , https://doi.org/10.1080/00273171.2021.1938960 Heggestad, E. D., Morrison, M., Reeve, C. L., & McCloy, R. A. (2006). Forced-choice assessments of personality for selection: Evaluating issues of normative assessment and faking resistance. Journal of Applied Psychology , 91 (1), 9-24. https://doi.org/10.1037/0021-9010.91.1.9 Hicks, L. E. (1970). Some properties of ipsative, normative, and for- ced-choice normative measures. Psychological Bulletin , 74 (3), 167-184. https://doi.org/10.1037/h0029780 Hontangas, P. M., de la Torre, J., Ponsoda, V., Leenen, I., Morillo, D., & Abad, F. J. (2015). Comparing traditional and IRT scoring of forced-choice tests. Applied Psychological Measurement , 39 (8), 598-612. https://doi.org/10.1177/0146621615585851 Hontangas, P. M., Leenen, I., & de la Torre, J. (2016). Traditional scores versus IRT estimates on forced-choice tests based on a do- minance model. Psicothema , 28 , 1, 76-82. https://doi.org/10.7334/psicothema2015.204 Judge, T. A., Rodell, J. B., Klinger, R. L., Simon, L. S., & Crawford, E. R. (2013). Hierarchical representations of the five-factor model of perso- nality in predicting job performance: Integrating three organizing fra- meworks with two theoretical perspectives. Journal of Applied Psychology , 98 (6), 875-925. https://doi.org/10.1037/a0033901 Kreitchmann, R. S., Abad, F. J., Ponsoda, V., Nieto, M. D., & Morillo, D. (2019). Controlling for response biases in self-report scales: Forced- choice vs. psychometric modeling of Likert items. Frontiers in Psychology , 10 , 2309. https://doi.org/10.3389/fpsyg.2019.02309 Kreitchmann, R. S., Abad, F. J., & Sorrel, M. A. (2021). A genetic algorithm for optimal assembly of pairwise forced-choice questionnaires. Behavior ResearchMethods . https://doi.org/10.3758/s13428-021-01677-4 Kreitchmann, R. S., Sorrel, M. A., & Abad, F. J. (enviado). On bank assembly and block selection in multidimensional forced-choice adaptive assessments. Lee, P., & Joo, S.-H. (2021). A new investigation of fake resistance of a multidimensional forced-choice measure: An application of dif- ferential item/test functioning. Personnel Assessment and Deci- sions , 7 (1). https://doi.org/10.25035/pad.2021.01.004 Lin, Y., & Brown, A. (2017). Influence of context on item parame- ters in forced-choice personality assessments. Educational and Psychological Measurement , 77 (3), 389-414. https://doi.org/10.1177%2F0013164416646162 Makransky, G., Mortensen, E. L., & Glas, C. A. W. (2013). Impro- ving personality facet scores with multidimensional computer adaptive testing: An illustration with the Neo Pi-R. Assessment , 20 (1), 3-13. https://doi.org/10.1177/1073191112437756 TESTS ADAPTATIVOS DE ELECCIÓN FORZOSA 34 S e c c i ó n M o n o g r á f i c a

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