The impact of different measurement models for fluid and crystallized intelligence on the correlation with personality traits

European Journal of Psychological Assessment

Volumn 23, Issue 2, 2007, Pages 71-78

  Beauducel, André ^a   Liepmann, Detlev ^b   Felfe, Jörg ^c   Nettelnstroth, Wim ^b  

^a HELMUT SCHMIDT UNIVERSITY   (Germany)

^b FREIE UNIVERSITÄT BERLIN   (Germany)

^c MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

Author keywords

Crystallized intelligence; Facet model; Five factor model; Fluid intelligence; MTMM

Indexed keywords

EID: 34147100101     PISSN: 10155759     EISSN: None     Source Type: Journal    
DOI: 10.1027/1015-5759.23.2.71     Document Type: Article

References (32)

1. Ackerman, P.L. (2000). Domain-specific knowledge as the dark matter of adult intelligence: Gf/Gc, personality, and interest correlates. Journal of Gerontology: Psychological Sciences, 555, P69-P84.
2. Ackerman, P.L., Bowen, K.R., Beier, E.B., & Kanfer, R. (2001). Determinants of individual differences and gender differences in knowledge. Journal of Educational Psychology, 93, 797-825.
3. Ackerman, P.L., & Heggestad, E.D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 219-245.
4. Amthauer, R., Brocke, B., Liepmann, D., & Beauducel, A. (2001). Intelligenz-Struktur-Test 2000 R [Test of intelligence structure 2000 R] (2nd ed.). Göttingen: Hogrefe.
5. Ashton, M.C., Lee, K, Vernon, P.A., & Jang, K.L. (2000). Fluid intelligence, crystallized intelligence, and the openness/intellect factor. Journal of Research in Personality, 34, 198-207.
6. Austin, E.J., Deary, I.J., Whiteman, M.C., Fowkes, F.G.R., Pedersen, N.L., Rabbitt, P., et al. (2002). Relationships between ability and personality: Does intelligence contribute positively to personal and social adjustment? Personality and Individual Differences, 32, 1391-1411.
7. Bates, T.C., & Shieles, A. (2003). Crystallized intelligence as a product of speed and drive for experience: The relationship of inspection time and openness to g and Gc. Intelligence, 31, 275-287.
8. Beauducel, A., Brocke, B., & Liepmann, D. (2001). Perspectives on fluid and crystallized intelligence: Facets for verbal, numerical, and figural intelligence. Personality and Individual Differences, 30, 977-994.
9. Beauducel, A., & Kersting, M. (2002). Fluid and crystallized intelligence and the Berlin Model of Intelligence Structure (BIS). European Journal of Psychological Assessment, 18, 97-112.
10. Borkenau, P., & Ostendorf, F. (1993). NEO-Fünf-Faktoren- Inventar (NEO-FFI) nach Costa und McCrae. Handanweisung. [NEO-Five-Factors-Inventory according to Costa and McCrae. Manual]. G̈ttingen: Hogrefe.
11. Bucik, V., & Neubauer, A. (1996). Bimodality in the Berlin Model of Intelligence Structure (BIS): A replication study. Personality and Individual Differences, 21, 987-1005.
12. Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81-105.
13. Carroll, J.B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge: Cambridge University Press.
14. Cattell, R.B. (1987). Intelligence: Its structure, growth, and action. Amsterdam: Elsevier.
15. Chamorro-Premuzic, T., & Furnham, A. (2004). A possible model for understanding the personality-intelligence interface. British Journal of Psychology, 95, 249-264.
16. Chamorro-Premuzic, T., Moutafï, J., & Furnham, A. (2005). The relationship between personality traits, subjectively assessed and fluid intelligence. Personality and Individual Differences, 38, 1517-1528.
17. Cohen, J. (1977). Statistical power analysis for the behavioral sciences (rev. ed.). New York: Academic Press.
18. Costa, P.T., Jr., & McCrae, R.R. (1992). Revised NEO personality inventory and NEO five-factor inventory. Professional manual, Odessa, FL: Psychological Assessment Resources.
19. Demetriou, A., Kyriakides, L., & Avraamidou, C. (2003). The missing link in the relations between intelligence and personality. Journal of Research in Personality, 37, 547-581.
20. Goff, M., & Ackerman, P.L. (1992). Personality-intelligence relations: Assessment of typical intellectual engagement. Journal of Educational Psychology, 84, 537-552.
21. Guttman, L., & Levy, S. (1991). Two structural laws for intelligence tests. Intelligence, 15, 79-103.
22. Holland, D.C., Dollinger, S.J., Holland, C.J., & MacDonald, D.A. (1995). The relationship between psychometric intelligence and the five-factor model of personality in a rehabilitation sample. Journal of Clinical Psychology, 51, 79-88.
23. Jäger, A.O. ( 1984). Intelligenzstrukturforschung: Konkurrierende Modelle, neue Entwicklungen, Perspektiven [Intelligence structure research: Competing models, new developments, perspectives]. Psychologische Rundschau, 35, 21-35.
24. McCrae, R.R. (1994). Openness to experience: Expanding the boundaries of factor V. European Journal of Personality, 8, 251-272.
25. Moutafi, J., Furnham, A., & Paltiel, L. (2004). Why is Conscientiousness negatively correlated with intelligence? Personality and Individual Differences, 37, 1013-1022.
26. Moutafi, J, Furnham, A., & Paltiel, L. (2005). Can personality factors predict intelligence? Personality and Individual Differences, 38, 1021-1033.
27. Neubauer, A.C., & Bucik, V. (1996). The mental speed - IQ relationship: Unitary or modular? Intelligence, 22, 23-48.
28. Raven, J.C. (1958). Advanced progressive matrices. London: Lewis.
29. Schmid, J., & Leiman, J.M. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53-61.
30. Schulze, D., Beauducel, A., & Brocke, B. (2005). Semantically meaningful and abstract figurai reasoning in the context of fluid and crystallized intelligence. Intelligence, 33, 143-159.
31. Süß, H.-M., & Beauducel, A. (2005). Faceted models of intelligence. In O. Wilhelm & R. Engle (Eds.), Understanding and measuring intelligence (pp. 313-332). London: Sage.
32. Süß, H.-M., Oberauer, K., Wittmann, W.W., Wilhelm, O., & Schulze, R. (2002). Working-memory capacity explains reasoning ability-and a little bit more. Intelligence, 30, 261-288.