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statistics.html
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<!DOCTYPE html>
<html>
<head>
<title>SICSA PhD Conference 2018</title>
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<a class="navbar-brand brand-invis" href="../">SICSA PhD Conference</a>
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<p id="menuTitle">Available Workshops</p>
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<li><a href="hackathon.html">PhD Conference Hackathon</a></li>
<li><a href="academiccareer.html">Your Career in Academia: Balancing Teaching and Research</a></li>
<li><a href="whatnext.html">Your PhD: What's Next?</a></li>
<li><a href="accessibility.html">Web Accessibility: Learn New Techniques to Improve Assistive Technologies Design</a></li>
<li class="active"><a href="statistics.html">5 Statistical Mistakes You are Likely to Make</a></li>
<li><a href="wellbeing.html">Student Wellbeing: Managing your PhD Journey</a></li>
<li><a href="syslitreview.html">How to do a Systematic Literature Review</a></li>
<li><a href="thesiswriting.html">Demystifying the PhD Thesis</a></li>
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<li><a href="https://www.sutherland.pw/sicsa2017/#home">SICSA PhD Conference 2017</a></li>
<li><a href="https://www.sutherland.pw/sicsa2016/">SICSA PhD Conference 2016</a></li>
<li><a href="https://www.sutherland.pw/sicsa2015/">SICSA PhD Conference 2015</a></li>
<li><a href="https://sites.google.com/site/sicsaconf2014/">SICSA PhD Conference 2014</a></li>
<li><a href="https://sites.google.com/site/sicsaconf2013/">SICSA PhD Conference 2013</a></li>
<li><a href="https://www.sutherland.pw/sicsa2012/">SICSA PhD Conference 2012</a></li>
<li><a href="https://sites.google.com/site/sicsaconf2011/">SICSA PhD Conference 2011</a></li>
<li><a href="https://sites.google.com/site/sicsa2010/">SICSA PhD Conference 2010</a></li>
<li><a href="https://www.sutherland.pw/sicsa2009/">SICSA PhD Conference 2009</a></li>
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<h1>5 Statistical Mistakes You are Likely to Make</h1>
<p>
<div>
<b>Presenter:</b> Linda Lapp (University of Strathclyde);
</div>
<div>
<b>Organiser:</b>
<a class="third" href="mailto:lovisa.sundin@glasgow.ac.uk"> Lovisa Sundin (University of Glasgow)</a>;
</div>
<div>
<b>RDF Domain:</b> A1 - Knowledge Base; D3 - Engagement and Impact;
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</p>
<p><a href="Images/5-Statistical-Mistakes-and-how-to-avoid-them.pdf">Download Slides</a></p>
<h2>Abstract</h2>
<p>
The dark art of lying with statistics is worth knowing not only among Fox News anchors, but also among PhD students who wish to avoid their findings being misconceived or sensationalised.
</p>
<p>
This workshop will give students an insight into how easy it is to misrepresent data.
</p>
<p>
Going beyond old classics like "correlation doesn't equal causation", the workshop will cover slightly more subtle confusions like relative vs. absolute risk, excessive precision, and effect size neglect.
</p>
<p>
The students will also participate in an exercise of re-writing abstracts in a sensationalised form. This will highlight just how easy it is to exaggerate findings, but also helps to give an idea on how to communicate research in a simple, yet appealing
way to reach wider audiences.
</p>
<h2>Session Outline</h2>
<ul>
<li>Part 1 (45 minutes): The speaker will present an entertaining introduction into common reporting mistakes and misconceptions.</li>
<li>Part 2 (45 minutes): There will be an interactive session where participants will be given a journal abstract and asked to come up with one truthful title and one sensationalised title. If time is available, they can do the same for their own abstracts.</li>
</ul>
<h2> Learning Outcomes</h2>
<ul>
<li>LO1: Participants will have an understanding of ways in which statistics are deliberately misrepresented.</li>
<li>LO2: Participants will be aware of five widespread statistical misconceptions.</li>
<li>LO3: Participants will know how to distort a study and consequently how to avoid distortions.</li>
</ul>
<h2> Additional Information</h2>
<p>
Please bring a max 300 word abstract of your research with you. This does not have to be about a paper that you are publishing. This is to give a general idea of what your research is about.
</p>
<p>
Questions are welcome.
</p>
<h2> Additional Resources</h2>
<p>
<a href="http://onlinestatbook.com/2/index.html">Online Statistics Education: An Interactive Multimedia Course of Study</a>
</p>
<p><a href="Images/logistic-regression-a-self-learning-text.pdf">Logistic Regression: A Self-Learning Text</a></p>
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