BIS and BAS Sensitivities at Different Levels of Personality Description: A Latent-Variable Approach with Self- and Informant-Ratings

References

• Alessandri, G., & Vecchione, M. (2012). The higher-order factors of the Big Five as predictors of job performance. Personality and Individual Differences, 53(6), 779–784. doi:10.1016/j.paid.2012.05.037
   Web of Science ®Google Scholar
• Allport, G. W., & Odbert, H. S. (1936). Trait names: A psycholexical study. Psychological Monographs, 47(1), i–171. doi:10.1037/h0093360
   Google Scholar
• Anusic, I., Schimmack, U., Pinkus, R. T., & Lockwood, P. (2009). The nature and structure of correlations among Big Five ratings: The Halo-Alpha-Beta model. Journal of Personality and Social Psychology, 97(6), 1142–1156. doi:10.1037/a0017159
   PubMed Web of Science ®Google Scholar
• Ashton, M. C., & Lee, K. (2007). Empirical, theoretical, and practical advantages of the HEXACO model of personality structure. Personality and Social Psychology Review, 11(2), 150–166. doi:10.1177/1088868306294907
   PubMed Web of Science ®Google Scholar
• Ashton, M. C., Lee, K., Goldberg, L. R., & De Vries, R. E. (2009). Higher order factors of personality: Do they exist? Personality and Social Psychology Review, 13(2), 79–91. doi:10.1177/1088868309338467
   PubMed Web of Science ®Google Scholar
• Becker, P. M. (1999). Beyond the Big Five. Personality and Individual Differences, 26(3), 511–530. doi:10.1016/S0191-8869(98)00168-8
   Web of Science ®Google Scholar
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. doi:10.1037/0033-2909.107.2.238
   PubMed Web of Science ®Google Scholar
• Biesanz, J. C., & West, S. G. (2004). Towards understanding assessment of the Big Five: Multitrait-multimethod analyses of convergent and discriminant validity across measurement occasion and type of observer. Journal of Personality, 72(4), 845–876. doi:10.1111/j.0022-3506.2004.00282.x
   PubMed Web of Science ®Google Scholar
• Blackburn, R., Renwick, S. J. D., Donnelly, J. P., & Logan, C. (2004). Big Five or Big Two superordinate factors in the NEO five-factor inventory and the antisocial personality questionnaire. Personality and Individual Differences, 37(5), 957–970. doi:10.1016/j.paid.2003.10.017
   Web of Science ®Google Scholar
• Block, J. (1995). A contrarian view of the five-factor approach to personality description. Psychological Bulletin, 117(2), 187–215. doi:10.1037/0033-2909.117.2.187
   PubMed Web of Science ®Google Scholar
• Browne, M. W., & Cudek, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models. Sage.
   Google Scholar
• Carroll, J. B. (2002). The Five-Factor personality model: How complete and satisfactory is it? In H. Braun, D. N. Jackson, & D. E. Wiley (Eds.), The role of constructs in psychological and educational measurement (pp. 97–126). Erlbaum.
   Google Scholar
• Carver, C. S., Johnson, S. L., & Joormann, J. (2008). Serotonergic function, two-mode models of self-regulation, and vulnerability to depression: What depression has in common with impulsive aggression. Psychological Bulletin, 134(6), 912–943. doi:10.1037/a0013740
   PubMed Web of Science ®Google Scholar
• Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67(2), 319–333. doi:10.1037/0022-3514.67.2.319
   Web of Science ®Google Scholar
• Cattell, R.B. (1946). Description and measurement of personality. World Book Company.
   Google Scholar
• Chang, L., Connelly, B. S., & Geeza, A. A. (2012). Separating method factors and higher order traits of the Big Five: A meta-analytic multitrait-multimethod approach. Journal of Personality and Social Psychology, 102(2), 408–426. doi:10.1037/a0025559
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Earlbaum Associates.
   Google Scholar
• Corr, P. J. (Ed.) (2008). The reinforcement sensitivity theory of personality. Cambridge University Press.
   Google Scholar
• Corr, P. J. (2013). Approach and avoidance behaviour: Multiple systems and their interactions. Emotion Review, 5(3), 285–290. doi:10.1177/1754073913477507
   Web of Science ®Google Scholar
• Corr, P. J. (2016). Reinforcement sensitivity theory of personality questionnaires: Structural survey with recommendations. Personality and Individual Differences, 89, 60–64. doi:10.1016/j.paid.2015.09.045
   Web of Science ®Google Scholar
• Corr, P. J., & Cooper, A. J. (2016). The reinforcement sensitivity theory of personality questionnaire (RST-PQ): Development and validation. Psychological Assessment, 28(11), 1427–1427. doi:10.1037/pas0000273
   PubMed Web of Science ®Google Scholar
• Corr, P. J., DeYoung, C. G., & McNaughton, N. (2013). Motivation and personality: A neuropsychological perspective. Social and Personality Psychology Compass, 7(3), 158–175. doi:10.1111/spc3.12016
   Google Scholar
• Corr, P. J., & McNaughton, N. (2008). Reinforcement sensitivity theory and personality. In P. J. Corr (Ed.), The reinforcement sensitivity theory of personality (pp. 155–187). Cambridge University Press.
   Google Scholar
• Corr, P. J., & McNaughton, N. (2012). Neuroscience and approach/avoidance personality traits: A two stage (valuation–motivation) approach. Neuroscience and Biobehavioral Reviews, 36(10), 2339–2354. doi:10.1016/j.neubiorev.2012.09.013
   PubMed Web of Science ®Google Scholar
• Depue, R. A., & Collins, P. F. (1999). Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation and extraversion. Behavioral and Brain Sciences, 22(3), 491–569. doi:10.1017/S0140525X99002046
   PubMed Web of Science ®Google Scholar
• Depue, R. A., & Lenzenweger, M. F. (2005). A neurobehavioral dimensional model of personality disturbance. In M. Lenzenweger, & J. Clarkin (Eds.), Theories of personality disorders (2nd ed.). (pp. 391–454). Guilford Press.
   Google Scholar
• Dermody, S. S., Wright, A. G. C., Cheong, J., Miller, K. G., Muldoon, M. F., Flory, J. D., Gianaros, P. J., Marsland, A. L., & Manuck, S. B. (2016). Personality correlates of midlife cardiometabolic risk: The explanatory role of higher-order factors of the Five-Factor model. Journal of Personality, 84(6), 765–776. doi:10.1111/jopy.12216
   PubMed Web of Science ®Google Scholar
• DeYoung, C. G. (2006). Higher-order factors of the Big Five in a multi-informant sample. Journal of Personality and Social Psychology, 91(6), 1138–1151. doi:10.1037/0022-3514.91.6.1138
   PubMed Web of Science ®Google Scholar
• DeYoung, C. G. (2010). Mapping personality traits onto brain systems: BIS, BAS, FFFS and beyond. European Journal of Personality, 24, 404–407. doi:10.1002/per.780
   Web of Science ®Google Scholar
• DeYoung, C. G. (2013). The neuromodulator of exploration: A unifying theory of the role of dopamine in personality. Frontiers in Human Neuroscience, 7, 762. doi:10.3389/fnhum.2013.00762
   PubMed Web of Science ®Google Scholar
• DeYoung, C. G. (2015). Cybernetic Big Five theory. Journal of Research in Personality, 56, 33–58. doi:10.1016/j.jrp.2014.07.004
   Web of Science ®Google Scholar
• DeYoung, C. G., & Gray, J. R. (2009). Personality neuroscience: Explaining individual differences in affect, behavior, and cognition. In P. J. Corr, & G. Matthews (Eds.), The Cambridge handbook of personality psychology (pp. 323–346). Cambridge University Press.
   Google Scholar
• DeYoung, C. G., Peterson, J. B., & Higgins, D. M. (2002). Higher-order factors of the Big Five predict conformity: Are there neuroses of health? Personality and Individual Differences, 33(4), 533–552. doi:10.1016/S0191-8869(01)00171-4
   Web of Science ®Google Scholar
• DeYoung, C. G., Peterson, J. B., Seguin, J. R., Pihl, R. O., & Tremblay, R. E. (2008). Externalizing behavior and the higher-order factors of the Big Five. Journal of Abnormal Psychology, 117(4), 947–953. doi:10.1037/a0013742
   PubMed Web of Science ®Google Scholar
• Digman, J. M. (1997). Higher-order factors of the Big Five. Journal of Personality and Social Psychology, 73(6), 1246–1256. doi:10.1037/0022-3514.73.6.1246
   PubMed Web of Science ®Google Scholar
• Eid, M., Lischetzke, T., & Nussbeck, F. W. (2006). Structural equation models for multitrait-multimethod data. In M. Eid, & E. Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 283–299). American Psychological Association.
   Google Scholar
• Eid, M., Nussbeck, F. W., Geiser, C., Cole, D. A., Gollwitzer, M., & Lischetzke, T. (2008). Structural equation modeling of multitrait-multimethod data: Different models for different types of methods. Psychological Methods, 13(3), 230–253. doi:10.1037/a0013219
   PubMed Web of Science ®Google Scholar
• Funder, D. C., & West, S. G. (1993). Consensus, self‐other agreement, and accuracy in personality judgment: An introduction. Journal of Personality, 61(4), 457–476. doi:10.1111/j.1467-6494.1993.tb00778.x
   PubMed Web of Science ®Google Scholar
• Goldberg, L. R. (1993). The structure of phenotypic personality traits. American Psychologist, 48(1), 26–34. doi:10.1037/0003-066X.48.1.26
   PubMed Web of Science ®Google Scholar
• Gray, J. A. (1972). The structure of the emotions and the limbic system. In R. Porter, & J. Knight (Eds.), Physiology, emotion, and psychosomatic illness (pp. 87–130). Associated Scientific.
   Google Scholar
• Gray, J. A. (1981). A critique of Eysenck’s theory of personality. In H. J. Eysenck (Ed.), A model for personality (pp. 246–276). Springer-Verlag.
   Google Scholar
• Gray, J. A. (1982). The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system. Oxford University Press.
   Google Scholar
• Gray, J. A. (1991). The neuropsychology of temperament. In J. Strelau & A. Angleitner (Eds.), Explorations in temperament: International perspectives on theory and measurement. Perspectives on individual differences (pp. 105–128). Plenum.
   Google Scholar
• Gray, J. A., & McNaughton, N. (2000). The neuropsychology of anxiety: An enquiry into the functions of the septohippocampal system (2nd ed.). Oxford University Press
   Google Scholar
• Halverson, C. F., Havill, V. L., Deal, J., Baker, S. R., Victor, J. B., Pavlopoulos, V., Besevegis, E., & Wen, L. (2003). Personality structure as derived from parental ratings of free descriptions of children: The inventory of child individual differences. Journal of Personality, 71(6), 995–1026. doi:10.1111/1467-6494.7106005
   PubMed Web of Science ®Google Scholar
• Heym, N., Ferguson, E., & Lawrence, C. (2008). An evaluation of the relationship between Gray’s revised RST and Eysenck’s PEN: Distinguishing BIS and FFFS in Carver and White’s BIS/BAS scales. Personality and Individual Differences, 45(8), 709–715. doi:10.1111/spc3.12016
   Web of Science ®Google Scholar
• Hirsh, J. B., DeYoung, C. G., & Peterson, J. B. (2009). Metatraits of the Big Five differentially predict engagement and restraint of behavior. Journal of Personality, 77(4), 1085–1102. doi:10.1111/j.1467-6494.2009.00575.x
   PubMed Web of Science ®Google Scholar
• Hofmann, W., & Kotabe, H. P. (2012). A general model of preventive and interventive self-control. Social and Personality Psychology Compass, 6(10), 707–722. doi:10.1111/j.1751-9004.2012.00461.x
   Google Scholar
• Hopwood, C. J., Wright, A. G. C., & Donnellan, B. M. (2011). Evaluating the evidence for the general factor of personality across multiple inventories. Journal of Research in Personality, 45(5), 468–478. doi:10.1016/j.jrp.2011.06.002
   PubMed Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. doi:10.1037/1082-989X.3.4.424
   Web of Science ®Google Scholar
• Inzlicht, M., & Legault, L. (2014). No pain, no gain: How distress underlies effective self-control (and unites diverse social psychological phenomena). In J. Forgas, & E. Harmon-Jones (Eds.), The control within: Motivation and its regulation (pp. 115–132). Psychology.
   Google Scholar
• Jang, K. L., Livesley, W. J., Ando, J., Yamagata, S., Suzuki, A., Angleitner, A., Ostendorf, F., Riemann, R., & Spinath, F. (2006). Behavioral genetics of the higher-order factors of the Big Five. Personality and Individual Differences, 41(2), 261–272. doi:10.1016/j.paid.2005.11.033
   Web of Science ®Google Scholar
• John, O. P., Donahue, E. M., & Kentle, R. L. (1991). The Big Five Inventory. Versions 4a and 54. University of California, Berkeley, Institute of Personality and Social Research.
   Google Scholar
• John, O. P., & Naumann, L. P. (2010). Surviving two critiques by block? The resilient Big Five have emerged as the paradigm for personality trait psychology. Psychological Inquiry, 21(1), 44–49. doi:10.1080/10478401003648732
   Web of Science ®Google Scholar
• John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative big-five trait taxonomy: History, measurement, and conceptual issues. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (pp. 114–158). Guilford Press.
   Google Scholar
• John, O. P., & Robins, R. W. (1993). Determinants of interjudge agreement on personality traits: The Big Five domains, observability, evaluativeness, and the unique perspective of the self. Journal of Personality, 61(4), 521–551. doi:10.1111/j.1467-6494.1993.tb00781.x
   PubMed Web of Science ®Google Scholar
• Jöreskog, K. G., & Sorbom, D. (1993). LISREL 8: User’s guide. Scientific Software.
   Google Scholar
• Keiser, H. N., & Ross, S. R. (2011). Carver and Whites’ BIS/FFFS/BAS scales and domains and facets of the Five Factor model of personality. Personality and Individual Differences, 51(1), 39–44. doi:10.1016/j.paid.2011.03.007
   Web of Science ®Google Scholar
• Kenny, D. A., & Kashy, D. A. (1992). Analysis of the multitrait-multimethod matrix by confirmatory factor analysis. Psychological Bulletin, 112(1), 165–172. doi:10.1037/0033-2909.112.1.165
   Web of Science ®Google Scholar
• Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 10(3), 333–351. doi:10.1207/S15328007SEM1003_1
   Web of Science ®Google Scholar
• Krupić, D., & Corr, P. J. (2017). Moving forward with the BAS. Psihologijske Teme, 26, 25–45. doi:10.31820/pt.26.1.2
   Google Scholar
• Krupić, D., Corr, P. J., Ručević, S., Križanić, V., & Gračanin, A. (2016). Five reinforcement sensitivity theory (RST) of personality questionnaires: Comparison, validity and generalization. Personality and Individual Differences, 97, 19–24. doi:10.1016/j.paid.2016.03.012
   Web of Science ®Google Scholar
• Lance, C. E., Noble, C. L., & Scullen, S. E. (2002). A critique of the correlated trait-correlated method and correlated uniqueness models for multitrait-multimethod data. Psychological Methods, 7(2), 228–244. doi:10.1037/1082-989X.7.2.228
   PubMed Web of Science ®Google Scholar
• Leone, L., Pierro, A., & Mannetti, L. (2002). Validity of the Italian version of the BIS/BAS scale of Carver and White (1994): Generalizability of structure and relationships of related constructs. Giornale Italiano di Psicologia, 29, 413–434.
   Google Scholar
• Li, Y., Xu, Y., & Chen, Z. (2015). Effects of the behavioral inhibition system (BIS), behavioral activation system (BAS), and emotion regulation on depression: A one-year follow-up study in Chinese adolescents. Psychiatry Research, 230(2), 287–293. doi:10.1016/j.psychres.2015.09.007
   PubMed Web of Science ®Google Scholar
• Liu, D., & Campbell, W. K. (2017). The Big Five personality traits, Big Two metatraits and social media: A meta-analysis. Journal of Research in Personality, 70, 229–240. doi:10.1016/j.jrp.2017.08.004
   Web of Science ®Google Scholar
• Marsh, H. W., & Grayson, D. (1995). Latent variable models of multitrait-multimethod data. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues and application (pp. 177–198). Sage.
   Google Scholar
• McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81–90. doi:10.1037/0022-3514.52.1.81
   PubMed Web of Science ®Google Scholar
• McCrae, R. R., & Costa, P. T. (1999). A Five-Factor theory of personality. In L. A. Pervin, & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–138). Guilford.
   Google Scholar
• McCrae, R. R., Yamagata, S., Jang, K. L., Riemann, R., Ando, J., Ono, Y., Angleitner, A., & Spinath, F. M. (2008). Substance and artifact in the higher-order factors of the Big Five. Journal of Personality and Social Psychology, 95(2), 442–455. doi:10.1037/0022-3514.95.2.442
   PubMed Web of Science ®Google Scholar
• McNaughton, N., & Corr, P.J. (2004). A two-dimensional neuropsychology of defense: Fear/anxiety and defensive distance. Neuroscience and Biobehavioral Reviews, 28(3), 285–305. doi:10.1016/j.neubiorev.2004.03.005
   PubMed Web of Science ®Google Scholar
• McNaughton, N., & Gray, J. A. (2002). The neuropsychology of anxiety as it really is: A response to O’Mara (2001). Neuropsychological Rehabilitation, 12(4), 363–367. doi:10.1080/09602010244000129
   Web of Science ®Google Scholar
• Mitchell, J. T., Kimbrel, N. A., Hundt, N. E., Cobb, A. R., Nelson-Gray, R. O., & Lootens, C. M. (2007). An analysis of reinforcement sensitivity theory and the Five-Factor model. European Journal of Personality, 21(7), 869–887. doi:10.1002/per.644
   Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide (6th ed.) Muthén & Muthén.
   Google Scholar
• Olson, K. R. (2005). Engagement and self-control: Superordinate dimensions of Big Five traits. Personality and Individual Differences, 38(7), 1689–1700. doi:10.1016/j.paid.2004.11.003
   Web of Science ®Google Scholar
• Paulhus, D. L., & Reynolds, S. (1995). Enhancing target variance in personality impressions: Highlighting the person in person perception. Journal of Personality and Social Psychology, 69(6), 1233–1242. doi:10.1037//0022-3514.69.6.1233
   PubMed Web of Science ®Google Scholar
• Pohl, S., & Steyer, R. (2010). Modeling common traits and method effects in multitrait-multimethod analysis. Multivariate Behavioral Research, 45(1), 45–72. doi:10.1080/00273170903504729
   PubMed Web of Science ®Google Scholar
• Poythress, N. G., Edens, J. F., Landfield, K., Lilienfeld, S. O., Skeem, J. L., & Douglas, K. S. (2008). A critique of Carver and White’s (1994) behavioral inhibition scale (BIS) for investigating Lykken’s (1995) theory of primary psychopathy. Personality and Individual Differences, 45(4), 269–275. doi:10.1016/j.paid.2008.04.014
   PubMed Web of Science ®Google Scholar
• Renn, E. W., Steinbauer, R., & Fenner, G. (2014). Employee behavioral activation and behavioral inhibition systems: Manager ratings of employee job performance, and employee withdrawal. Human Performance, 27(4), 347–371. doi:10.1080/08959285.2014.929694
   Web of Science ®Google Scholar
• Rushton, J. P., Bons, T. A., Ando, J., Hur, Y.-M., Irwing, P., Vernon, P. A., Petrides, K. V., & Barbaranelli, C. (2009). A general factor of personality from multi-trait multi-method data and cross-national twins. Twin Research and Human Genetics, 12(4), 356–365. doi:10.1375/twin.12.4.356
   PubMed Web of Science ®Google Scholar
• Rushton, J. P., Bons, T. A., & Hur, Y. M. (2008). The genetics and evolution of a general factor of personality. Journal of Research in Personality, 42(5), 1173–1185. doi:10.1016/j.jrp.2009.01.005
   Web of Science ®Google Scholar
• Segarra, P., Poy, R., López, R., & Moltó, J. (2014). Characterizing Carver and White’s BIS/BAS subscales using the Five Factor model of personality. Personality and Individual Differences, 61-62, 18–23. doi:10.1016/j.paid.2013.12.027
   Web of Science ®Google Scholar
• Shi, D., Lee, T., & Maydeu-Olivares, A. (2019). Understanding the model size effect on SEM fit indices. Educational and Psychological Measurement, 79(2), 310–334. doi:10.1177/0013164418783530
   PubMed Web of Science ®Google Scholar
• Şimşek, O. F. (2014). Higher order structure of personality and mental health: Does general affectivity matter? Journal of Personality Assessment, 96(2), 226–236. doi:10.1080/00223891.2013.836527
   PubMed Web of Science ®Google Scholar
• Şimşek, O. F., Koydemir, S., & Schütz, A. (2012). A multigroup multitrait-multimethod study in two countries supports the validity of a two-factor higher order model of personality. Journal of Research in Personality, 46(4), 442–449. doi:10.1016/j.jrp.2012.04.005
   Web of Science ®Google Scholar
• Slobodskaya, H. R. (2011). Two superordinate personality factors in childhood. European Journal of Personality, 25(6), 453–464. doi:10.1002/per.810
   Web of Science ®Google Scholar
• Slobodskaya, H. R., Knyazev, G. G., Safronova, M. V., & Wilson, G. D. (2003). Development of a short form of the Gray-Wilson personality questionnaire: Its use in measuring personality and adjustment among Russian adolescents. Personality and Individual Differences, 35(5), 1049–1059. doi:10.1016/S0191-8869(02)00317-3
   Web of Science ®Google Scholar
• Smits, D. J. M., & Boeck, P. D. (2006). From BIS/BAS to the Big Five. European Journal of Personality, 20(4), 255–270. doi:10.1002/per.583
   Web of Science ®Google Scholar
• Sneed, C. D., McCrae, R. R., & Funder, D. C. (1998). Lay conceptions of the five-factor model and its indicators. Personality and Social Psychology Bulletin, 24(2), 115–126. doi:10.1177/0146167298242001
   Web of Science ®Google Scholar
• Stapleton, L. M. (2006). An assessment of practical solutions for structural equation modeling with complex sample data. Structural Equation Modeling: A Multidisciplinary Journal, 13(1), 28–58. doi:10.1207/s15328007sem1301_2
   Web of Science ®Google Scholar
• Steiger, J. H., & Lind, J. C. (1990). Statistically-based tests for the number of common factors. Multivariate Behavioral Research, 25(2), 173–180.
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Allyn and Bacon.
   Google Scholar
• Ubbiali, A., Chiorri, C., Hampton, P., & Donati, D. (2013). Italian Big Five inventory. Psychometric properties of the Italian adaptation of the Big Five inventory (BFI). Applied Psychology Bulletin, 266, 37–48.
   Google Scholar
• Vecchione, M., & Alessandri, G. (2013). Alpha and beta traits and egoistic and moralistic self-enhancement: A point of convergence between two research traditions. Journal of Personality, 81(1), 39–48. doi:10.1111/j.1467-6494.2012.00786.x
   PubMed Web of Science ®Google Scholar
• Vecchione, M., Alessandri, G., Barbaranelli, C., & Caprara, G. V. (2011). Higher-order factors of the Big Five and basic values: Empirical and theoretical relations. British Journal of Psychology, 102(3), 478–498. doi:10.1111/j.2044-8295.2010.02006.x
   PubMed Web of Science ®Google Scholar
• Widaman, K.F. (1985). Hierarchically nested covariance structures models for multitrait-multimethod data. Applied Psychological Measurement, 9(1), 1–26. doi:10.1177/014662168500900101
   Web of Science ®Google Scholar
• Wilmot, M. P., DeYoung, C. G., Stillwell, D., & Kosinski, M. (2016). Self-monitoring and the metatraits. Journal of Personality, 84(3), 335–347. doi:10.1111/jopy.12162
   PubMed Web of Science ®Google Scholar