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<p><strong>Abstract</strong></p> <p>The subject of this workshop is an introduction to the theory and practical application of nonparametric item response models. These differ from classical parametric models such as the Rasch model or the 2PL model in that they make less stringent and possibly more realistic assumptions about the shape of item characteristic curves (ICCs) for psychological applications. First, we will discuss general assumptions and properties of nonparametric item response models. In doing so, we will highlight differences to parametric models and derive consequences for the interpretation of the parameters. We will then discuss the basic concepts of estimating nonparametric functions in nonlinear regression models and apply them to nonparametric ICCs. In addition, we will discuss methods for estimating reliability and for checking model assumptions. In this context, methods to determine the dimensional structure of items will also be discussed. Finally, we will apply all methods to psychological questionnaire data.</p> <hr> <p><strong>Reminder</strong>: The official workshop language is German.</p> <hr> <p>Prior to the workshop, please prepare the following things:</p> <ul> <li> <p>install the current version of R (3.6.1) and Rstudio (1.2.1335):</p> <ul> <li><a href="https://cran.r-project.org/" rel="nofollow">https://cran.r-project.org/</a></li> <li><a href="https://www.rstudio.com/products/rstudio/download/" rel="nofollow">https://www.rstudio.com/products/rstudio/download/</a></li> </ul> </li> <li> <p>install the following R packages from CRAN:</p> <ul> <li>ggplot2, gridExtra, gtools, mokken, MBESS, KernSmoothIRT, mgcv, scam</li> </ul> </li> <li> <p>make sure the installation of the packages was successful<br> (especially if you work on a Mac)</p> </li> <li> <p>download the files in the OSF Storage folder (will be available soon)</p> </li> <li> <p>charge the battery of your laptop (and don't forget your charger)</p> </li> </ul> <hr> <p>For questions or comments, feel free to contact the authors at<br> <strong>Felix.Naumann@psy.lmu.de</strong> and <strong>Florian.Pargent@psy.lmu.de</strong></p>
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