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<p class="MsoNormal">Great News Everyone!<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The MDMLG and Wayne State University have jointly been selected to be sponsored for the September 7<sup>th</sup>, 2016 webinar: Getting Started with Statistics for Librarians!<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"> Where: Wayne State University Undergraduate Library Bernath Auditorium<o:p></o:p></p>
<p class="MsoNormal"> Time: 2:00pm-3:30pm EST<o:p></o:p></p>
<p class="MsoNormal"> MLA Credits: 1.5 Continuing Education Contact hours<o:p></o:p></p>
<p class="MsoNormal"> Cost: FREE!<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">To register: send an email to <b><i><u><span style="font-size:14.0pt">Bethany.Figg@cmich.edu</span></u></i></b> indicating you would like to register for (1) the in-person session on September 7th at WSU, OR (2) the On-Demand session which
will be at your convenience beginning approximately 2 weeks after the live session.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">By registering for the On-Demand at this time you will be able to earn the MLA CE Credits for viewing the webinar. CE Credits are also available for those that attend in person on April 26th plus you have the opportunity to network with
your colleagues face to face.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">More information about the webinar: <o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white"><b><span style="font-size:14.0pt">Getting Started with Statistics for Librarians<o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white">Does the term “p value” make you anxious when you read research articles? How high is your confidence level in interpreting research data? As librarians interact with more research through efforts
with evidence-based practice and systematic reviews, they have a growing need for understanding statistics. This confidence-building course will help you be more comfortable with statistical concept for reading research findings and interpreting data.<o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white"><b><i>Goals and objectives:<o:p></o:p></i></b></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white">After participating in this webinar, you will be able to:<o:p></o:p></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:white">
Understand basic statistical terms such as standard deviation, t test, p value, and so on<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:white">
Identify test measures used in published research studies<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:white">
Interpret the data, formulas, and graphs used in the research findings<o:p></o:p></li></ul>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white"><b><i>Agenda</i></b>:<o:p></o:p></p>
<ol start="1" type="1">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2;background:white">
Examine sample research papers and their data analysis findings. Highlight statistical terms that will be discussed.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2;background:white">
Define the statistical concepts.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2;background:white">
Use interactive exercises to verify understanding. For example, to examine different research studies and decide which test measure was used.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2;background:white">
Reexamine the research papers and data to further reinforce the concept.<o:p></o:p></li></ol>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white"><b><i>Presenter:<o:p></o:p></i></b></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;background:white">Jin Wu is an emerging technologies librarian at the University of Southern California (USC) Norris Medical Library. In this role, she tracks, investigates, and uses data proactively to address
emerging trends that improve library services and promote library resources. Wu has extensive experience using various tools to gather and apply user information to make data-driven strategy and planning decisions. She has taught MLA continuing education courses
on statistics and data analysis a few times in the past years. The classes were well attended and scored very well on evaluations. Wu is active in professional organizations and has given multiple presentations at national and local conferences. She is also
a master’s of business administration candidate at USC Marshall School of Business.<o:p></o:p></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>We look forward to seeing you there!<o:p></o:p></b></p>
<p class="MsoNormal"><b>Bethany<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Palatino Linotype",serif;color:#990033">Bethany Figg, MBA, MLIS, AHIP<o:p></o:p></span></b></p>
<p class="MsoNormal"><u><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F4E79"><a href="mailto:bethany.figg@cmich.edu"><span style="color:#1F4E79">bethany.figg@cmich.edu</span></a></span></u><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F4E79"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#264779"><a href="https://www.cmich.edu/colleges/cmed/Education/Residency/GME/Pages/default.aspx"><span style="color:#264779">Visit us online!</span></a></span><u><span style="color:#264779"><o:p></o:p></span></u></p>
<p class="MsoNormal"><span style="font-size:6.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-family:"Palatino Linotype",serif;color:#990033">Graduate Medical Education Administrator</span></b><b><span style="font-size:10.0pt;color:#990033"> |</span></b><b><span style="font-family:"Palatino Linotype",serif;color:#990033">
CMU College of Medicine<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F497D">1000 Houghton Street, Saginaw MI 48602</span><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#000066"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Wingdings;color:#1F497D">(</span><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F497D">: 989-583-7406
</span><b><span style="font-size:10.0pt;color:#1F497D">|</span></b><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F497D">
</span><span style="font-size:10.0pt;font-family:"Wingdings 2";color:#1F497D">6</span><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F497D">: 989-583-6907<b>
</b></span><span style="color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#1F497D"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:8.0pt;font-family:"Palatino Linotype",serif;color:maroon">Central Values:</span></b><b><span style="font-size:8.0pt;font-family:"Palatino Linotype",serif;color:#943634">
</span></b><b><span style="font-size:8.0pt;font-family:"Palatino Linotype",serif;color:#1F497D">Integrity | Respect | Empathy | Inclusiveness | Social Responsibility | Excellence | Innovation<o:p></o:p></span></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
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