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Power and Sample Size Considerations in Psychometrics

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Statistics and Simulation (IWS 2015)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 231))

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Abstract

An overview and discussion of the latest developments regarding power and sample size determination for statistical tests of assumptions of psychometric models are given. Theoretical as well as computational issues and simulation techniques, respectively, are considered. The treatment of the topic includes maximum likelihood and least squares procedures applied in the framework of generalized linear (mixed) models. Numerical examples and comparisons of the procedures to be introduced are quoted.

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Author information

Authors and Affiliations

  1. University for Health and Life Sciences, EWZ 1, 6060, Hall, Austria

    Clemens Draxler

  2. Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010, Vienna, Austria

    Klaus D. Kubinger

Authors
  1. Clemens Draxler
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  2. Klaus D. Kubinger
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Corresponding author

Correspondence to Clemens Draxler .

Editor information

Editors and Affiliations

  1. Institute of Statistics, Alpen-Adria University of Klagenfurt, Klagenfurt, Austria

    Jürgen Pilz

  2. Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences, Vienna, Austria

    Dieter Rasch

  3. St. Petersburg State University, St. Petersburg, Russia

    Viatcheslav B. Melas

  4. Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences, Vienna, Austria

    Karl Moder

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Draxler, C., Kubinger, K.D. (2018). Power and Sample Size Considerations in Psychometrics. In: Pilz, J., Rasch, D., Melas, V., Moder, K. (eds) Statistics and Simulation. IWS 2015. Springer Proceedings in Mathematics & Statistics, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-76035-3_3

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