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Expressing Competency Levels

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Rasch Analysis in the Human Sciences

Abstract

This chapter builds upon the concepts presented in Chap. 15, making use of setting boundaries on a Wright map to thoughtfully divide student measures into groups (e.g., low, medium, high). This chapter considers the situation in which the different groupings of students have already been defined (e.g., pain levels have already been defined as Levels I, II, III, and IV). The chapter presents the procedure to determine where (in the case of the pain example) each level is located on the Wright map. The chapter finishes up with a student dialog, Keywords and Phrases, Quick Tips, Data Files, References, and Additional Readings. As in almost all chapters, sample analyses are used to reinforce the chapter topic.

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References

  • Bybee, R. W. (2002). Scientific literacy – Mythos oder realität? In W. Gräber, P. Nentwig, T. Koballa, & R. Evans (Eds.), Scientific literacy. Der beitrag der naturwissenschaften zur allgemeinen bildung. Opladen, Germany: Leske+Budrich.

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  • Hammann, M. (2004). Kompetenzentwicklungsmodelle: Merkmale und ihre Bedeutung – dargestellt anhand von Kompetenzen beim Experimentieren. Merkmahle und ihre Bedeutung, 57(4), 196–203.

    Google Scholar 

  • Mayer, J. (2007). Erkenntnisgewinnung als wissenschaftliches problemlösen. In H. Vogt & D. Krüger (Eds.), Handbuch der theorien in der biologiedidaktischen forschung. Berlin, Germany/Heidelberg, Germany: Springer.

    Google Scholar 

  • Möller, A., Grube, C., Hartmann, S., & Mayer, J. (2009, April). Increase of inquiry competence: A longitudinal large-scale assessment of students’ performance from grade 5 to 10. Paper presented at the international conference of the National Association of Research in Science Teaching (NARST), Garden Grove, CA.

    Google Scholar 

  • Möller, A., Grube, C., & Mayer, J. (2008, March–April). Skills and levels of students’ inquiry competence in lower secondary biology education (grade 5–10). Paper presented at the international conference of the National Association of Research in Science Teaching (NARST), Baltimore, MD.

    Google Scholar 

  • Schauble, L., Glaser, R., Duschl, R. A., Schulze, S., & John, J. (1995). Students’ understanding of the objectives and procedures of experimentation in the science classroom. The Journal of the Learning Sciences, 4, 131–166.

    Article  Google Scholar 

Additional Readings

  • An article that presents the details of using Rasch techniques for standard setting and proficiency classification.

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  • Jiao, H., Lissitz, R., Macready, G., Wang, S., & Liang, S. (2011). Exploring levels of performance using the mixture Rasch model for standard setting. Psychological Test and Assessment Modeling, 53(4), 499–522.

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Boone, W.J., Staver, J.R., Yale, M.S. (2014). Expressing Competency Levels. In: Rasch Analysis in the Human Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6857-4_16

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