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<a href="https://simongrund1.github.io/"><h1>Simon Grund</h1></a>
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<a href="https://orcid.org/0000-0002-1290-8986">0000-0002-1290-8986</a>
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PhD, Quantitative Psychology
<ul class="sidebar-nav">
<li><a href="https://simongrund1.github.io/">Home</a> </li>
<li><a href="/posts"> Blog </a></li><li><a href="/publications/"> Publications </a></li><li><a href="/software/"> Software </a></li>
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<h1>Welcome!</h1>
<div class="post">
<p>
I'm a researcher at the Leibniz Institute for Science and Mathematics
Education in Kiel, Germany, focusing on quantitative methods in psychology and
education. My research interests include missing data, multilevel modeling,
and causal inference.
</p>
<p>
Below, you can find information about my recent work, including the most
recent posts from my blog and about publications and software. For more,
please visit the respective sections using the menu.
</p>
</div>
<h1 class="post-title"><a href="/posts">Recent Posts - Blog</a><a href="/posts/index.xml"><i class="fas fa-rss rss-symbol"></i></a></h1>
<div class="posts">
<div class="post">
<h2 class="post-title">
<a href="https://simongrund1.github.io/posts/multiple-imputation-for-three-level-and-cross-classified-data/">Multiple imputation for three-level and cross-classified data</a>
</h2>
<span class="summary-date">January 3, 2019</span>
<img src="/posts/multiple-imputation-for-three-level-and-cross-classified-data_files/figure-html/thumbnail-1.png" alt="thumbnail image" class="thumbnail">
Multiple imputation (MI) of missing values in hierarchical data can be tricky when the data do not have a simple two-level structure. In such a case, understanding and accounting for the hierarchical structure of the data can be challenging, and tools to handle these types
<a href="/posts/multiple-imputation-for-three-level-and-cross-classified-data/">… [more]</a>
<p class="post-tags">
tags:
<a href="/tags/r">[r]</a>
<a href="/tags/missing-data">[missing data]</a>
<a href="/tags/multiple-imputation">[multiple imputation]</a>
<a href="/tags/multilevel">[multilevel]</a></p>
</div>
<div class="post">
<h2 class="post-title">
<a href="https://simongrund1.github.io/posts/anova-with-multiply-imputed-data-sets/">Dealing with missing data in ANOVA models</a>
</h2>
<span class="summary-date">June 25, 2018</span>
<img src="/posts/anova-with-multiply-imputed-data-sets_files/figure-html/thumbnail-1.png" alt="thumbnail image" class="thumbnail">
The analysis of variance, or ANOVA, is among the most popular methods for analyzing how an outcome variable differs between groups, for example, in observational studies or in experiments with different conditions.
But how do we conduct the ANOVA when there are missing data?
<a href="/posts/anova-with-multiply-imputed-data-sets/">… [more]</a>
<p class="post-tags">
tags:
<a href="/tags/r">[r]</a>
<a href="/tags/missing-data">[missing data]</a>
<a href="/tags/multiple-imputation">[multiple imputation]</a>
<a href="/tags/anova">[anova]</a></p>
</div>
<div class="post">
<h2 class="post-title">
<a href="https://simongrund1.github.io/posts/hello_world/">Hello, World!</a>
</h2>
<span class="summary-date">May 27, 2018</span>
This first post marks the launch of my website, with which I have been tinkering for some time now. From time to time, I will update the blog with new posts about topics related to quantitative psychology, statistical methods, R, Vim, and other things that interest me. So be
<a href="/posts/hello_world/">… [more]</a>
<p class="post-tags">
tags:
<a href="/tags/news">[news]</a></p>
</div>
</div>
<h1 class="post-title"><a href="/publications">Recent Publications</a></h1>
<div class="posts-list">
<div class="publication">
<i class="fas fa-book fa-pull-left publication-symbol"></i>
Grund, S., Lüdtke, O., & Robitzsch, A. (2019).
<a href="https://simongrund1.github.io/publications/2019-chap-apa/">Missing data in multilevel research</a>. In: Humphrey, S. E. & LeBreton, J. M. (Eds.), <i>Handbook for multilevel theory, measurement, and analysis</i>.
Washington, DC: American Psychological Association
doi: 10.1037/0000115-017
<a href="http://psycnet.apa.org/record/2018-55368-017"> [Link]</a>
</div>
<div class="publication">
<i class="far fa-file-alt fa-pull-left publication-symbol"></i>
Strobel, B., Grund, S., & Lindner, M. A. (2019).
<a href="https://simongrund1.github.io/publications/2019-acp/">Do seductive details do their damage in the context of graph comprehension? Insights from eye movements</a>. <i>Applied Cognitive Psychology</i>.
doi: 10.1002/acp.3491
<a href="https://onlinelibrary.wiley.com/doi/10.1002/acp.3491"> [Link]</a>
</div>
<div class="publication">
<i class="far fa-file-alt fa-pull-left publication-symbol"></i>
Grund, S., Lüdtke, O., & Robitzsch, A. (2018).
<a href="https://simongrund1.github.io/publications/2018-jebs/">Multiple imputation of missing data at level 2: A comparison of fully conditional and joint modeling in multilevel designs</a>. <i>Journal of Educational and Behavioral Statistics</i><i>, 43</i>, 316-353.
doi: 10.3102/1076998617738087
<a href="http://journals.sagepub.com/doi/abs/10.3102/1076998617738087"> [Link]</a>
</div>
<a href="/publications">…  [see all]</a>
</div>
<h1 class="post-title"><a href="/software">Software</a></h1>
<div class="posts-list">
<div class="software">
<i class="fas fa-laptop fa-pull-left software-symbol"></i>
<a href="https://simongrund1.github.io/software/mitml/">mitml</a>:
Tools for multiple imputation in multilevel modeling
<a href="https://cran.r-project.org/package=mitml"> [CRAN]</a>
<a href="https://github.com/simongrund1/mitml"> [Github]</a>
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