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Modeling Learning in Short-Term Learning Tests

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Essays on Item Response Theory

Part of the book series: Lecture Notes in Statistics ((LNS,volume 157))

Abstract

A new model-based method for analyzing learning processes in so-called short-term learning tests is proposed and applied. Learning is measured by means of a two-dimensional item response theory model that incorporates two latent factors: ability level and learning ability. The model allows one to assess the impact of both variables and their correlation for given data sets in a manner that implicitly corrects for statistical artifacts that arise in conventional analyses. The model is applied to four shortterm learning tests administered to N =434 children aged five to six years. Model tests and tests for empirical validity of the model parameters succeed in establishing construct validity for one of these tests.

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References

  • Bock, R.D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443–459.

    Article  MathSciNet  Google Scholar 

  • Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.

    Article  Google Scholar 

  • D’Agostino, R.B., & Stephens, M.A. (1986). Goodness-of-fit techniques. New York: Marcel Dekker.

    Google Scholar 

  • Embretson, S.E. (1991). A multidimensional latent trait model for measuring learning and change. Psychometrika, 56, 495–515.

    Article  MATH  Google Scholar 

  • Flammer, A., & Schmid, H. (1982). Lerntests: Konzept, Realisierung, Bewährung. Eine Übersicht [Learning tests: Concept, realization, validation. A review]. Schweizerische Zeitschrift für Psychologie, 41, 114–138.

    Google Scholar 

  • Guthke, J. (1982). The learning test concept—An alternative to the traditional static intelligence test. German Journal of Psychology, 6, 306–324.

    Google Scholar 

  • Guthke, J. (1983). Mengenfolgen-Test (MFT) [Set-sequences test]. Berlin: Psychodiagnostisches Zentrum der Humboldt-Universität.

    Google Scholar 

  • Guthke, J. (1990). Learning tests as an alternative or completion of intelligence tests: A critical review. European Journal of Psychology of Education, 5, 117–133.

    Article  Google Scholar 

  • Guthke, J., Böttcher, H.R., & Sprung, L. (1991). Psychodiagnostik (Band 2) [Psychodiagnostics (Vol. 2)]. Berlin: Deutscher Verlag der Wissenschaften.

    Google Scholar 

  • Guthke, J., & Wiedl, K.H. (1996). Dynamisches Testen. Zur Psychodiagnostik der intraindividuellen Variabilität [Dynamic testing: The psychodiagnostics of intraindividual variability]. Göttingen: Hogrefe.

    Google Scholar 

  • Hamers, J.H.M., Sijtsma, K., & Ruijssenaars, A.J.J.M. (1993). Learning potential assessment: Theoretical, methodological and practical issues. Amsterdam: Swets & Zeitlinger.

    Google Scholar 

  • Katzbeck, C., Kastner-Koller, U., & Deimann, P. (1998). Konstruktion und erste Schritte zur Konstruktvalidierung eines treatment-orientierten Kurzzeitlerntests für das Vorschulalter [Construction and first steps in construct-validation of a treatment-oriented short-term learning test for preschool children]. Diagnostica, 44, 100–111.

    Google Scholar 

  • Klauer, K.C., Kauf, H., & Sydow, H. (1994). Experimentelle Validierung eines Lernmodells für Kurzzeitlerntests [Experimental validation of a learning model for short-term learning tests]. Diagnostica, 40, 124–142.

    Google Scholar 

  • Klauer, K.C., & Sydow, H. (1992). Interindividuelle Unterschiede in der Lernfähigkeit: Zur Analyse von Lernprozessen bei Kurzzeitlerntests [Interindividual differences in learning ability: Analyzing learning by means of short-term learning tests]. Zeitschrift für Differentielle und Diagnostische Psychologie, 13, 175–190.

    Google Scholar 

  • Klauer, K.C., & Wegener, I. (1998). Unraveling social categorization in the “Who said what?”-paradigm. Journal of Personality and Social Psychology, 75, 1155–1178.

    Article  Google Scholar 

  • Klauer, K.J. (1989). Denktraining für Kinder I [Cognitive training for children I]. Göttingen: Hogrefe.

    Google Scholar 

  • Molenaar, I.W. (1983). Some improved diagnostics for failure in the Rasch model. Psychometrika, 48, 49–72.

    Article  Google Scholar 

  • Moore, D.S., & Spruill, M.C. (1975). Unified large-sample theory of general chi-squared statistics for tests of fit. The Annals of Statistics, 3, 599–616.

    MathSciNet  MATH  Google Scholar 

  • Roether, D. (1983). Vorschul-Lerntest (VLT) [Preschool learning test]. Berlin: Psychodiagnostisches Zentrum der Humboldt-Universität.

    Google Scholar 

  • Snow, R.E. (1989). Aptitude-treatment interaction as a framework for research on individual differences in learning. In P.L. Ackermann, R.J. Sternberg, & R. Glaser (Eds.), Learning and individual differences: Advances in theory and research (pp. 13–59). New York: Freeman.

    Google Scholar 

  • Sydow, H., & Meincke, J. (1994). DenkMit—Das Berliner Programm zur Förderung des Denkens und der Wahrnehmung von drei-bis sechsjährigen Kindern [DenkMit—The Berlin program for training reasoning and perception in children aged three to six]. Simbach/Inn: ZAK.

    Google Scholar 

  • Verhelst, N.D., & Glas, C.A.W. (1995). Dynamic generalizations of the Rasch model. In G.H. Fischer & I.W. Molenaar (Eds.), Rasch models: Foundations, recent developments, and applications (pp. 181–201). New York: Springer-Verlag.

    Google Scholar 

  • Wilder, J. (1965). Pitfalls in the methodology of the law of initial values. American Journal of Psychotherapy, 19, 577–584.

    Google Scholar 

  • Zimmerman, D.W., & Williams, R.H. (1982a). The relative error magnitude in three measures of change. Psychometrika, 47, 141–147.

    Article  MathSciNet  Google Scholar 

  • Zimmerman, D.W., & Williams, R.H. (1982b). On the high predictive potential of change and growth measures. Educational and Psychological Measurement, 42, 961–968.

    Article  Google Scholar 

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Klauer, K.C., Sydow, H. (2001). Modeling Learning in Short-Term Learning Tests. In: Boomsma, A., van Duijn, M.A.J., Snijders, T.A.B. (eds) Essays on Item Response Theory. Lecture Notes in Statistics, vol 157. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0169-1_4

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  • DOI: https://doi.org/10.1007/978-1-4613-0169-1_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95147-8

  • Online ISBN: 978-1-4613-0169-1

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