Skip to main content
SpringerLink
Log in

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

  • Living reference work entry
  • First Online:
Handbuch Stress und Kultur

  • 114 Accesses

Zusammenfassung

Die Gruppe der Item-Response-Modelle umfasst Verfahren, bei denen die Wahrscheinlichkeit, eine bestimmte Antwortoption bei einem Item zu wählen, als eine Funktion von Item- und Personeneigenschaften beschrieben wird. Typischerweise wird eine solche Modellierung dafür verwendet, bei einem Test oder Fragebogen aus den Antworten eines Individuums die Merkmalsausprägung eines psychologischen Konstrukts für dieses Individuum abzuschätzen. Item-Response-Modelle erlauben es jedoch auch, Gruppenunterschiede direkt auf der Itemebene zu erfassen. Damit wird Testautoren beispielsweise die Möglichkeit gegeben, faire und auf verschiedene Kulturen anwendbare Instrumente zu konstruieren.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Similar content being viewed by others

Literatur

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

    Book  Google Scholar 

  • Baker, F. B., & Kim, S.-H. (2017). The basics of item response theory using R. New York: Springer.

    Book  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  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 

  • Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Dordrecht: Springer.

    Book  Google Scholar 

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

    Google Scholar 

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

    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 

  • 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  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 

  • Gamerman, D., Gonçalves, F. B., & Soares, T. M. (2018). Differential item functioning. In W. J. van der Linden (Hrsg.), Handbook of item response theory. Volume three: Applications (S. 67–86). Boca Raton: CRC Press.

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Linden, Wim J. van der (Hrsg.). (2016). Handbook of item response models. Volume one: models. Boca Raton: CRC Press.

    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. (2016). Partial credit model. In W. J. van der Linden (Hrsg.), Handbook of item response theory. Volume one: models (S. 109–126). Boca Raton: CRC Press.

    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., & Muraki, M. (2016). Generalized partial credit model. In W. J. van der Linden (Hrsg.), Handbook of item response theory. Volume one: Models (S. 127–137). Boca Raton: CRC Press.

    Google Scholar 

  • Nering, M. L., & Ostini, R. (2015). Handbook of polytomous item response theory models. New York: Routledge.

    Google Scholar 

  • Ostini, R., Finkelman, M., & Nering, M. (2015). Selecting among polytomous IRT models. In S. P. Reise & D. A. Revicki (Hrsg.), Handbook of item response theory modeling (S. 285–304). New York: Routledge.

    Google Scholar 

  • Paek, I., & Cole, K. (2020). Using R for item response theory model applications. London: Routdledge.

    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 

  • Rusch, T., Mair, P., & Hatzinger, R. (2018). IRT packages in R. In W. J. van der Linden (Hrsg.), Handbook of item response theory. Volume three: Applications (S. 407–420). Boca Raton: CRC Press.

    Google Scholar 

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

    Google Scholar 

  • Samejima, F. (2016). Graded response models. In W. J. van der Linden (Hrsg.), Handbook of item response theory. Volume one: models (S. 95–107). Boca Raton: CRC Press.

    Google Scholar 

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

    Article  Google Scholar 

  • Wainer, H., & Mislevy, R. J. (2000). Item response theory, item calibration, and proficiency estimation. In H. Wainer (Hrsg.), Computerized adaptive testing: A primer (2. Aufl., S. 61–100). Mahwah: Erlbaum.

    Chapter  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.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Charité Universitätsmedizin Berlin, Medizinische Klinik mit Schwerpunkt Psychosomatik, Berlin, Deutschland

    Otto B. Walter

Authors
  1. Otto B. Walter
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Otto B. Walter .

Editor information

Editors and Affiliations

  1. Department of Public Administration, Berlin School of Economics and Law, Berlin, Berlin, Germany

    Tobias Ringeisen

  2. Fakultät Wirtschafts- und Sozialwissenschaften, Hochschule Osnabrück, Osnabrück, Germany

    Petia Genkova

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

    Frederick T. L. Leong

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Walter, O.B. (2021). Item-Response-Modelle zur Analyse von Daten aus kulturvergleichenden Studien. In: Ringeisen, T., Genkova, P., Leong, F.T.L. (eds) Handbuch Stress und Kultur. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-27825-0_15-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-27825-0_15-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Wiesbaden

  • Print ISBN: 978-3-658-27825-0

  • Online ISBN: 978-3-658-27825-0

  • eBook Packages: Springer Referenz Psychologie

Publish with us

Policies and ethics

Search

Navigation