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<html>
<head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-ZGXXSQ2DBH"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-ZGXXSQ2DBH');
</script>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Mairead Shaw</title>
<style>
.img-icon {
height:18px;
width: auto;
}
header > h3 { display: inline-block; margin-bottom: -0.1em;}
header span { margin-left: 18px; }
body{ font: 16px Consolas, monospace; }
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</head>
<body>
<table width="80%">
<tbody><tr>
<td>
<br>
<dd><img class="img-icon" src="./homepage_files/pdf.png"></img> CV
<a target="_blank" href="./homepage_files/CV_long.pdf">[Long]</a>
<a target="_blank" href="./homepage_files/CV_short.pdf">[Short]</a>
<br></dd>
<br>
<dd><a target="_blank" href="https://github.com/mkshaw"><img class="img-icon" src="./homepage_files/github.png"></a>
<a target="_blank" href="https://github.com/mkshaw">GitHub</a><br></dd>
<br>
<dd><a target="_blank" href="https://orcid.org/0000-0002-5595-9839"><img class="img-icon" src="./homepage_files/orcid.gif"></a>
<a target="_blank" href="https://orcid.org/0000-0002-5595-9839">ORCID</a> 0000-0002-5595-9839<br></dd>
<br>
<dd><a target="_blank" href="https://scholar.google.com/citations?hl=en&user=T4nTYpAAAAAJ"><img class="img-icon" src="./homepage_files/scholar.svg"></a>
<a target="_blank" href="https://scholar.google.com/citations?hl=en&user=T4nTYpAAAAAJ">Google Scholar</a><br></dd>
<br>
<dd><a target="_blank" href="mailto:[email protected]"><img class="img-icon" src="./homepage_files/gmail.png"></a>
<a target="_blank" href="mailto:[email protected]">Email</a><br></dd>
<br>
<dd><a target="_blank" href="https://www.linkedin.com/in/mairead-shaw/"><img class="img-icon" src="./homepage_files/linkedin.svg"></a>
<a target="_blank" href="https://www.linkedin.com/in/mairead-shaw/">LinkedIn</a><br></dd>
</td>
</tr></tbody></table>
<ul>
<h3><u>About</u></h3>
<p>I am a Behavioural Scientist at Intact Insurance and a PhD candidate in Quantitative Psychology and Modelling at McGill University in the <a target="_blank" href="https://jessicakayflake.com">Flake Lab</a>. Here are a few things I've been working on lately:</p>
<p>Professionally:</p>
<ul>
<li>Using machine learning to guide interventions to increase customer retention</li>
<li>Developing software for effect sizes in multilevel models</li>
<li>Quantifying the impact of decisions in modelling pipelines on result heterogeneity</li>
<li>Teaching statistical methods for clustered data structures</li>
</ul>
<p>Personally:</p>
<ul>
<li>Chess</li>
<li>Woodworking (including making a chess board!)</li>
<li>Cross-country skiing and biking</li>
</ul>
<p>To connect, feel free to email me at maireadkshaw [at] gmail [dot] com.</p>
<p><u>Blog Posts</u></p>
<ul>
<li><a target="_blank" href="./blog/chess/best_opening.html">Which Chess Opening is Best for Your Rating?</a></li>
</ul>
<!-- Research -->
<h3><u>Journal Articles</u></h3>
<p><ul>
<b>Shaw, M.</b>, Rights, J.D., Sterba, S.K., & Flake, J.K. (2022). r2mlm: An R package for computing effect sizes in multilevel models. <i>Behavior Research Methods</i>. <a target="_blank" href="https://doi.org/10.3758/s13428-022-01841-4">https://doi.org/10.3758/s13428-022-01841-4</a>.
<br> <br>
Sun, S., <b>Shaw, M.</b>, Moodie, E., Ruths, D. (2022). The epidemiological impact of the Canadian COVID Alert App. <i>Canadian Journal of Public Health</i>, <i>113</i>, 519-527. <a target="_blank" href="https://doi.org/10.17269/s41997-022-00632-w">https://doi.org/10.17269/s41997-022-00632-w</a>.
<br> <br>
Flake, J. K., Luong, R., & <b>Shaw, M.</b> (2022). Addressing a crisis of generalizability with large-scale construct validation. <i>Behavioral and Brain Sciences</i>, <i>45</i>, e14. <a target="_blank" href="https://doi.org/10.1017/S0140525X21000376">https://doi.org/10.1017/S0140525X21000376</a>.
<br> <br>
<b>Shaw, M.</b>, Cloos, L.J.R., Luong, R., Elbaz, S., & Flake, J.K. (2020). Measurement practices in large-scale replications: Insights from Many Labs 2. <i>Canadian Psychology/Psychologie canadienne</i>, <i>61</i>(4), 289-298. <a target="_blank" href="http://dx.doi.org/10.1037/cap0000220">http://dx.doi.org/10.1037/cap0000220</a>. <a target="_blank" href="https://osf.io/v4wth/">OSF materials.</a>
</ul></p>
<h3><u>Teaching Resources</u></h3>
<p><ul>
<b>Shaw, M.</b> and Flake, J.K. (2023), Digital Module 34: Introduction to Multilevel Measurement Modeling. <i>Educational Measurement: Issues and Practice</i>, <i>42</i>: 82-82. <a target="_blank" href="https://doi.org/10.1111/emip.12585">https://doi.org/10.1111/emip.12585</a>.
<br> <br>
<b>Shaw, M.</b> & Flake, J.K. <i>Introduction to Multilevel Modelling</i>, 2022. <a target="_blank" href="https://www.learn-mlms.com">https://www.learn-mlms.com</a>
</ul></p>
<h3><u>Software</u></h3>
<p><ul>
<b>Shaw, M.</b>, Rights, J.D., Sterba, S.K., & Flake, J.K. (2020). r2mlm: R-Squared Measures for Multilevel Models. R package version 0.3.7. <a target="_blank" href="https://CRAN.R-project.org/package=r2mlm">https://CRAN.R-project.org/package=r2mlm</a>
</ul></p>
<h3><u>Workshops</u></h3>
<p><ul>
(2024, June). <i>Multilevel R-squared Effect Size Measures and Bootstrapped Confidence Intervals</i>. Presented to researchers at Modern Modeling Methods Conference.
<br> <br>
(2024, January). <i><a href="https://github.com/mkshaw/introR" target="_blank">Introduction to R for Experimental Research</a></i>. Presented to students at McGill University.
<br> <br>
(2023, October). <i>Bootstrapping Confidence Intervals for Multilevel Models</i>. Presented to data scientists at industry partner.
<br> <br>
(2023, March). <i>Effect Sizes in Multilevel Models</i>. Presented to Quantitative Psychology Methodologies Workshop at McGill University.
<br> <br>
(2022, June). <i>Understanding, calculating, and interpreting R-squared in multilevel models</i> Presented to researchers at Canadian Psychological Association Conference.
<br> <br>
(2022, March). <i>Understanding, calculating and interpreting R-squared in multilevel models</i> Presented to researchers at McGill University Daily Diary Research Methods Group.
</ul></p>
<!-- Consulting -->
<h3><u>Statistical Consulting</u></h3>
<p>I am available for private statistical consulting. I have worked as a statistical analyst and advisor for a government agency, the McGill Martlets hockey team, and for physician scientists. In these roles, I provided services including but not limited to:</p>
<ul>
<li>Helping design analysis plans for funded studies</li>
<li>Cleaning data to prepare for modelling</li>
<li>Statistical modelling</li>
<li>Preparing data visualizations</li>
<li>Communicating results to non-expert audiences in presentations and reports</li>
<li>Teaching team members how to conduct their own analyses in R and Python</li>
</ul>
<p>If you need help with statistics of any kind, feel free to reach out at maireadkshaw [at] gmail [dot] com. I offer free 30-minute consultations to determine the scope of the project. I love hearing about statistical problems, so don't be shy!</p>
<p>
<font color="#FFFFFF">
As an homage to the website that inspired mine (seandevine.org), I'm including a secret link! (It's not a Rick Roll.)
https://www.youtube.com/watch?v=VISC5jRXEIA
<br> <br>
Link last updated: 2024-10-16
</font>
</body></html>