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<p class="MsoNormal"><span style="color:#1F497D">FYI..<o:p></o:p></span></p>
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<p class="MsoNormal"><b>From:</b> CRMDA. <admin-crmda@ku.edu> <br>
<b>Sent:</b> Friday, December 21, 2018 2:50 PM<br>
<b>Cc:</b> Johnson, Paul E. <pauljohn@ku.edu><br>
<b>Subject:</b> CRMDA 2019 Stats Camp - Registration Open!<o:p></o:p></p>
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<p class="MsoNormal">Hello All –<o:p></o:p></p>
<p class="MsoNormal"><b><u><o:p><span style="text-decoration:none"> </span></o:p></u></b></p>
<p class="MsoNormal">The Center for Research Methods and Data Analysis (CRMDA) will host its annual three-week Statistical Institute, also referred to as Stats Camp, this coming May. Please pass this message (along with the attached flyer) to any student, faculty
or staff who you think may benefit or would be interested in attending. The <a href="https://crmda.ku.edu/sites/crmda.ku.edu/files/files/2019-Stats-Camp-booklet.pdf">
three-week Stats Camp</a> will run from May 20 to June 7, 2019 on the Lawrence campus and online via
<a href="https://kansas.zoom.us/">Zoom</a>. Each week has a designated topic: R software, Python Data Science and Structural Equation Modeling (SEM). Full topic listings and details are posted on the CRMDA website (<a href="http://crmda.ku.edu/statscamp">crmda.ku.edu/statscamp</a>).
<b><i>Registration is open! Student early bird rate is available until April 12, 2019!</i></b><o:p></o:p></p>
<p class="MsoNormal"><b><i> </i></b><o:p></o:p></p>
<p class="MsoNormal">The sessions are a combination of lecture format presentations and workshops for "hands on" practice. CRMDA recommends everyone who attends bring a laptop computer on which they have administrative privileges so that new software can be
installed. There will be plenty of workshop "helpers" to troubleshoot problems during the workshop sessions. CRMDA has experience with Linux, MS Windows and Macintosh computers (configuration advice available on
<a href="http://crmda.ku.edu/setup">http://crmda.ku.edu/setup</a>). Attendees can expect to learn statistical terminology and computing tools, obtain strategies for reproducible research and enhance their research techniques by developing new skills.<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal"><b><u>Below is a quick description for each week:</u></b><o:p></o:p></p>
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<p class="MsoNormal"><b>Week 1:</b> <b>May 20-24.</b> Using R (internally referred to as the "summeR workshop"). Covers the basics of interacting with R, importing data, creating graphics, and conducting statistical analysis. This will introduce tools for
project management that are offered in CRMDA’s R package, "kutils". <o:p></o:p></p>
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<p class="MsoNormal"><b>Week 2:</b> <b>May 28-31.</b> Python Data Science. Covers the basics of interacting with Python, including how to navigate around Jupyter Notebooks, working with text data, using Pandas and scraping Internet data.
<o:p></o:p></p>
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<p class="MsoNormal"><b>Week 3:</b> <b>June 3-7.</b> Structural Equation Modeling. The SEM overview will be offered by Professor Ed Merkle of the University of Missouri. The "SEM example" archive created by CRMDA (<a href="https://gitlab.crmda.ku.edu/crmda/semexample">https://gitlab.crmda.ku.edu/crmda/semexample</a>)
will be introduced. The structural equations material, for the most part, uses R (and some M<i>plus</i>) and it builds on the R modeling concepts discussed during the first week of the workshop. CRMDA will also move into more advanced SEM topics, such as missing
data techniques and multi-level modeling.<o:p></o:p></p>
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<p class="MsoNormal">For questions, please contact CRMDA by email (<a href="mailto:crmda@ku.edu">crmda@ku.edu</a>) or by phone at 785-864-3353.<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">Thank you,<o:p></o:p></p>
<p class="MsoNormal">Paul Johnson <br>
Director, CRMDA<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="https://crmda.ku.edu/statscamp"><span style="color:windowtext;text-decoration:none"><img border="0" width="500" height="185" style="width:5.2083in;height:1.927in" id="Picture_x0020_1" src="cid:image002.jpg@01D4993C.6E5FDA10"></span></a><o:p></o:p></p>
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