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Item-Response-Modelle zur Analyse von Daten aus kulturvergleichenden Studien

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Handbuch Stress und Kultur

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Zusammenfassung

Die Erfassung von psychologischen Konstrukten und Einstellungen mittels Fragebögen ist ein integraler Bestandteil jeglicher interkulturellen Forschung. Wie in anderen Bereichen der Psychologie zielen die hierbei eingesetzten Instrumente darauf ab, bestimmte psychologische Eigenschaften in einer abgestuften Weise zu erfassen. Die erfassten Aspekte bzw. Teilaspekte werden typischerweise in Skalen zusammengefasst.

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Literature

  • Baker, F. B. & Kim, S.-H. (2004). Item response theory. Parameter estimation techniques (2nd ed.) New York: Marcel Dekker.

    Google Scholar 

  • Bjorner, B. B., Chang, C. H., Thissen, D. & Reeve, B. B. (2007). Developing tailored instruments: Item banking and computerized adaptive assessment. Quality of Life Research, 16, 95–108.

    Article  PubMed  Google Scholar 

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

    Article  Google Scholar 

  • Bock, R. D. & Mislevy, R. J. (1982). Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement, 6, 431–444.

    Article  Google Scholar 

  • Cleary, T. A. (1968). Test bias: Predicition of grades of Negro and white students in integrated colleges. Journal of Educational Measurement, 5, 115–124.

    Article  Google Scholar 

  • Camilli, G. & Shephard, L. A. (1994). Methods for identifying biased test items. Newbury Park, CA: Sage.

    Google Scholar 

  • Camilli, G. & Penfield, R. D. (2007). Differential item functioning and item bias. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics (vol. 26): Psychometrics (pp. 125 – 167). Amsterdam, North Holland.

    Google Scholar 

  • Edelen, M. O. & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16, 5–18.

    Article  PubMed  Google Scholar 

  • Embretson, S. E. (1996). The new rules of measurement. Psychological Assessment, 8, 341–349.

    Article  Google Scholar 

  • Embretson, S. E. & Reise, S. P. (2000). Item response theory for psychologists. London: Lawrence Erlbaum Associates.

    Google Scholar 

  • Holland, P. W. & Wainer, H. (1993). Differential item functioning. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Hulin, C. L., Drasgow, F. & Parsons, C. K. (1983). Item Response Theory. Homewood, IL: Dow Jones Irwin.

    Google Scholar 

  • van der Linden, W. J. & Hambleton, R. K (Eds.) (1997). Handbook of modern item response theory. Berlin: Springer.

    Google Scholar 

  • Linn, R. L., Levine, M. V., Hastings, C. N. & Wardrop, J. L. (1981). Item bias in a test of reading comprehension. Applied Psychological Measurement, 5, 159–173.

    Article  Google Scholar 

  • Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149–174.

    Article  Google Scholar 

  • Masters, G. N. & Wright, B. D. (1997). The partial credit model. In W. J. dervan Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 101 – 121). Berlin: Springer-Verlag.

    Google Scholar 

  • Muraki, E. (1992). A generalized partial credit model: Application of an EM-algorithm. Applied Psychological Measurement, 16, 159–176.

    Article  Google Scholar 

  • Muraki, E. (1997). A generalized partial credit model. In W. J. dervan Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 153 – 164). Berlin: Springer-Verlag.

    Google Scholar 

  • Raju, N. S. (1988). The area between two item characteristic curves. Psychometrika, 53, 495–502.

    Article  Google Scholar 

  • Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press.

    Google Scholar 

  • Thissen, D. & Steinberg, L. (1986). Taxonomy of item response models. Psychometrika, 51, 567–577.

    Article  Google Scholar 

  • Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34, 110–114.

    Google Scholar 

  • Samejima, F. (1997). The graded response model. In W. J. dervan Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 85 – 100). Berlin: Springer-Verlag.

    Google Scholar 

  • Wainer, H. & Mislevy, R. J. (2000). Item response theory, item calibration, and proficiency estimation. In H. Wainer (Ed.), Computerized adaptive testing: A Primer (2nd ed., pp. 61 – 100). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Wright, B. D. (1995). 3PL or Rasch ? Rasch Measurement Transactions, 9, 408–409.

    Google Scholar 

  • Zumbo, B. D. (2007). Three generations of DIF analyses: Considering where it has been, where it is now, and where it is going. Language Assessment Quarterly, 4, 223–233.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Psychologische Methodenlehre und Qualitätssicherung, Universität Bielefeld, Bielefeld, Deutschland

    Prof. Dr. habil. Otto B. Walter

Authors
  1. Prof. Dr. habil. Otto B. Walter
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Correspondence to Otto B. Walter .

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Editors and Affiliations

  1. Fakultät für Wirtschafts- u. Sozialwiss., University of Applied Sciences Osnabrück, Caprivistr. 30A, Osnabrück, 49076, Germany

    Petia Genkova

  2. FB Wirtschaftswissenschaften, University of Applied Sciences Merseburg, Geusaer Str. 88, Merseburg, 06217, Germany

    Tobias Ringeisen

  3. Michigan State University Department of Psychology, East Lansing, 48824, Michigan, USA

    Frederick T. L. Leong

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Walter, O. (2013). Item-Response-Modelle zur Analyse von Daten aus kulturvergleichenden Studien. In: Genkova, P., Ringeisen, T., Leong, F. (eds) Handbuch Stress und Kultur. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-531-93449-5_13

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  • DOI: https://doi.org/10.1007/978-3-531-93449-5_13

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  • Publisher Name: Springer VS, Wiesbaden

  • Print ISBN: 978-3-531-17498-3

  • Online ISBN: 978-3-531-93449-5

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