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Original Articles

Fluid and Crystallized Intelligence and the Berlin Model of Intelligence Structure (BIS)

Published Online:https://doi.org/10.1027//1015-5759.18.2.97

Summary: Assessment of intelligence is often based on fluid (gf) and crystallized intelligence (gc), and - in the German-speaking countries - the Berlin Model of Intelligence Structure (BIS). As yet, however, the two approaches have not been systematically related to each other. The present study therefore aims to identify possible relationships between the approaches. We hypothesize that gf is related to “processing capacity” and “memory” in the BIS, whereas gc is related to “fluency” and “knowledge” and, to a lesser degree, to “processing capacity.” We also assume “processing speed” to be related to both gf and gc. All components of the BIS that are relevant to the present study were measured by means of the BIS-r-DGP test, which, together with “knowledge” scales, was administered to 9,520 persons in the context of personnel selection. The following results were obtained: First, the BIS was replicated by factor analysis of the BIS-r-DGP test. Second, “knowledge” was shown to form an additional component. Third, gf and gc emerged clearly from hierarchical factor analysis. Finally, with the exception of the relation of “fluency” to gc, all hypotheses were confirmed by confirmatory factor analysis.

References

References

  • Amthauer, R. Brocke, B. Liepmann, D., Beauducel, A. (2001). Intelligenz-Struktur-Test 2000 R ‘Test of intelligence structure 2000 R’. . Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Baltes, P.B. Lindenberger, U., Staudinger, U.M. (1998). Life-span theory in developmental psychology.. In W. Damon (Ed.) & R.M. Lerner (Vol. Ed.), Handbook of child psychology, Vol.1. Theoretical models of human development (5th ed., pp.1029-1143). New York: Wiley. First citation in articleGoogle Scholar

  • Beauducel, A. (1997). Transformation-matrix-Search and -Identification (Trasid): A new method for oblique rotation to simple structure.. Methods of Psychological Research Online, 2, 113– 138 First citation in articleGoogle Scholar

  • Beauducel, A. (2001). Problems with parallel analysis in data sets with oblique simple structure.. Methods of Psychological Research, 6, 141– 157 First citation in articleGoogle Scholar

  • Beauducel, A. Brocke, B., Liepmann, D. (2001). Perspectives on fluid and crystallized intelligence: Facets for verbal, numerical, and figural intelligence.. Personality and Individual Differences, First citation in articleGoogle Scholar

  • Bucik, V., Neubauer, A.C. (1996). Bimodality in the Berlin model of intelligence structure (BIS): A replication study.. Personality and Individual Differences, 21, 987– 1005 First citation in articleCrossrefGoogle Scholar

  • Carroll, J.B. (1993). Human cognitive abilities: A survey of factor-analytic studies. . Cambridge: Cambridge University Press. First citation in articleGoogle Scholar

  • Cattell, R.B. (1963). Theory of fluid and crystallized intelligence: A critical experiment.. Journal of Educational Psychology, 54, 1– 22 First citation in articleCrossrefGoogle Scholar

  • Cattell, R.B. (1978). The scientific use of factor analysis in behavioral and life sciences. . New York: Plenum. First citation in articleGoogle Scholar

  • Cattell, R.B. (1987). Intelligence: Its structure, growth, and action. . Amsterdam: Elsevier. First citation in articleGoogle Scholar

  • Cattell, R.B., Muerle, J.L. (1960). The “Maxplane” program for factor rotation to oblique simple structure.. Educational and Psychological Measurement, 20, 569– 591 First citation in articleCrossrefGoogle Scholar

  • Flanagan, D.P. Genshaft, J.L., Harrison, P.L. (1997). Contemporary intellectual assessment: Theories, tests, and issues. . New York: Guilford. First citation in articleGoogle Scholar

  • Fry, A.F., Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade.. Psychological Science, 7, 237– 241 First citation in articleCrossrefGoogle Scholar

  • Gilardi, R. Holling, H. Schmidt, J.U. (1983). Replikationsanalyse zum Cattellschen Intelligenzkonzept ‘Replicative analysis of Cattell's concept of intelligence’.. Psychologische Beiträge, 25, 369– 384 First citation in articleGoogle Scholar

  • Gorsuch, R.L. (1983). Factor analysis. . Hillsdale, NJ: Erlbaum. First citation in articleGoogle Scholar

  • Guilford, J.P. (1980). Fluid and crystallized intelligences: Two fanciful concepts.. Psychological Bulletin, 88, 406– 412 First citation in articleCrossrefGoogle Scholar

  • Gustafsson, J.-E. (1984). A unifying model for the structure of intellectual abilities.. Intelligence, 8, 179– 203 First citation in articleCrossrefGoogle Scholar

  • Hakstian, A.R. Cattell, R.B. (1978). Higher-stratum ability structures on a basis of twenty primary abilities.. Journal of Educational Psychology, 70, 657– 669 First citation in articleCrossrefGoogle Scholar

  • Horn, J. (1965). A rationale and test for the number of factors in factor analysis.. Psychometrika, 30, 179– 185 First citation in articleCrossrefGoogle Scholar

  • Horn, J. (1988). Thinking about human abilities.. In J.R. Nesselroade & R.B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp.645-685). New York: Plenum. First citation in articleGoogle Scholar

  • Horn, J.L., Cattell, R.B. (1966). Refinement and test of the theory of fluid and crystallized general intelligences.. Journal of Educational Psychology, 57, 253– 270 First citation in articleCrossrefGoogle Scholar

  • Hubbard, R., Allen, S.J. (1987). An empirical comparison of alternative methods for principal components extraction.. Journal of Business Research, 15, 173– 190 First citation in articleCrossrefGoogle Scholar

  • Humphreys, L.G. (1962). The organization of human abilities.. American Psychologist, 17, 475– 483 First citation in articleCrossrefGoogle Scholar

  • Jäger, A.O. (1967). Dimensionen der Intelligenz ‘Dimensions of intelligence’. . Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Jäger, A.O. (1982). Mehrmodale Klassifikation von Intelligenzleistungen: Experimentell kontrollierte Weiterentwicklung eines deskriptiven Intelligenzstrukturmodells ‘Multimodal classification of intelligence tests: Experimentally controlled development of a descriptive model of intelligence structure’.. Diagnostica, 28, 195– 225 First citation in articleGoogle Scholar

  • Jäger, A.O. (1984). Intelligenzstrukturforschung: Konkurrierende Modelle, neue Entwicklungen, Perspektiven ‘Research on intelligence structure: Competing models, new developments, perspectives’.. Psychologische Rundschau, 35, 21– 35 First citation in articleGoogle Scholar

  • Jäger, A.O. Süß, H.M., Beauducel, A. (1997). Berliner Intelligenzstruktur-Test. BIS-Test, Form 4 ‘Berlin Test of Intelligence Structure, BIS-Test, Form 4’.. Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Jäger, A.O., Tesch-Römer, C. (1988). Replikation des Berliner Intelligenzstrukturmodells (BIS) in den “Kit of Reference Tests for Cognitive Factors” nach French, Ekstrom, & Price (1963): Eine Reanalyse der Daten von Scholl (1976) ‘Replication of the Berlin Model of Intelligence Structure (BIS) in the “Kit of Reference Tests for Cognitive Factors” from Frence, Ekstrom & Price, 1963: A reanalysis of School's (1976) data ’.. Zeitschrift für Differentielle und Diagnostische Psychologie, 9, 77– 96 First citation in articleGoogle Scholar

  • Jöreskog, K., Sörbom, D. (1999). LISREL 8.3 ‘Computer software’.. Chicago, IL: Scientific Software International. First citation in articleGoogle Scholar

  • Kersting, M. (1999). Personalauswahl mit dem BIS-r-DGP Test: Evaluation der prognostischen Validität ‘Personnel selection with the BIS-r-DGP test: Evaluation of the prognostic validity’.. DGP-Informationen, 56, 43– 60 First citation in articleGoogle Scholar

  • Kersting, M., Beauducel, A. (2001). Berliner Intelligenzstruktur - Test der Deutschen Gesellschaft für Personalwesen e.V. ‘Berlin Test of Intelligence Structure of the German Society of Personnel Selection and Training’.. In W. Sarges & H. Wottawa (Hrsg.), Handbuch wirtschaftspsychologischer Testverfahren ‘Handbook of tests for economic psychology’ (pp.103-110). Lengerich: Pabst. First citation in articleGoogle Scholar

  • Kleine, D., Jäger, A.O. (1987). Replikation des Berliner Intelligenzstrukturmodells (BIS) bei brasilianischen Schülern und Studenten.. Diagnostica, 33, 14– 29 First citation in articleGoogle Scholar

  • Lansman, M. Donaldson, G. Hunt, E., Yantis, S. (1982). Ability factors and cognitive processes.. Intelligence, 6, 347– 386 First citation in articleCrossrefGoogle Scholar

  • Lindenberger, U., Baltes, P.B. (1997). Intellectual functioning in old and very old age: Cross-sectional results from the Berlin Aging Study.. Psychology and Aging, 12, 410– 432 First citation in articleCrossrefGoogle Scholar

  • Rabbitt, P. (1996). Do individual differences in speed reflect “global” or “local” differences in mental abilities?. Intelligence, 22, 69– 88 First citation in articleCrossrefGoogle Scholar

  • Salthouse, T.A. (1996). The processing-speed theory of adult age differences in cognition.. Psychological Review, 103, 403– 428 First citation in articleCrossrefGoogle Scholar

  • Schmid, J., Leiman, J.M. (1957). The development of hierarchical factor solutions.. Psychometrika, 22, 53– 61 First citation in articleCrossrefGoogle Scholar

  • Schmidt, F.L. (1992). What do data really mean? Research findings, meta-analysis and cumulative knowledge in psychology.. American Psychologist, 47, 1173– 1181 First citation in articleCrossrefGoogle Scholar

  • Schmidt, F.L., Hunter, J.E. (1998). The validity and utility of selection methods in Personnel Psychology. Practical and theoretical implications of 85 years of research findings.. Psychological Bulletin, 124, 262– 274 First citation in articleCrossrefGoogle Scholar

  • Sternberg, R.J., Gastel, J. (1989). If dancers ate their shoes: Inductive reasoning with factual and counterfactual premises.. Memory & Cognition, 17, 1– 10 First citation in articleCrossrefGoogle Scholar

  • Süß, H.-M. Oberauer, K. Schulze, R. Wilhelm, O., Wittmann, W.W. (in press). Working memory capacity explains reasoning ability - and a little bit more.. Intelligence, First citation in articleGoogle Scholar

  • Thurstone, L.L. (1938). Primary mental abilities. . Chicago: Chicago University Press. First citation in articleGoogle Scholar

  • Thurstone, L.L. (1947). Multiple factor analysis. . Chicago: Chicago University Press. First citation in articleGoogle Scholar

  • Turner, N.E. (1998). The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis.. Educational and Psychological Measurement, 58, 541– 568 First citation in articleCrossrefGoogle Scholar

  • Wittmann, W.W. (1988). Multivariate reliability theory: Principles of symmetry and successful validation strategies.. In J.R. Nesselroade & R.B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp.505-560). New York: Plenum. First citation in articleGoogle Scholar

  • Zwick, W.R., Velicer, W.F. (1986). Comparison of five rules for determining the number of components to retain.. Psychological Bulletin, 99, 432– 442 First citation in articleCrossrefGoogle Scholar