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<p class="MsoNormal"><b><span style="font-size:11.0pt">Volunteers Needs for Middle School Promotion Ceremonies<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Dean Spencer’s middle school initiative project is looking for volunteers to hand out SOE swag at two promotion ceremonies on
<b>Wednesday, May 28<sup>th</sup> at 5pm and 6pm</b>. Mileage reimbursement is available for volunteers. You can read more about the initiative
<a href="https://news.ucr.edu/articles/2024/05/22/middle-school-initiative-expects-boost-college-access-0?_gl=1*6w53rm*_ga*MTg3NDY4MjM2NC4xNjk3MjExMTg5*_ga_Z1RGSBHBF7*MTcxNjU3MDY2NS4xMzYuMC4xNzE2NTcwNjc0LjAuMC4w*_ga_S8BZQKWST2*MTcxNjU3MDY2NS4xMzYuMC4xNzE2NTcwNjc0LjAuMC4w">
here</a>. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">If you’re interested, please contact Associate Dean Dr. Rall (<a href="mailto:raquel.rall@ucr.edu">raquel.rall@ucr.edu</a>) and Marketing Director James Rowland (<a href="mailto:james.rowland@ucr.edu">james.rowland@ucr.edu</a>).<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p style="margin:0in"><b><span style="font-size:11.0pt">Mountain View Middle School (5pm)</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">Marissa Smith, Principal<o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">951-571-4240 ext. 22001<o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">13130 Morrison St., Moreno Valley, 92555<o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p style="margin:0in"><b><span style="font-size:11.0pt">Badger Springs Middle School (6pm)</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">Ruby Mejico, Principal<o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">951-571-4200 ext. 20001<o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:11.0pt">24750 Delphinium Ave., Moreno Valley, 92553<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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<hr size="2" width="100%" align="center">
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<p class="MsoNormal"><b><i><span style="font-size:11.0pt"><o:p> </o:p></span></i></b></p>
<p class="MsoNormal"><b><i><span style="font-size:11.0pt;color:#2980B9">GradQuant Stata Workshop Series with Dr. Chuck Huber</span></i></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:black">Tuesday, 5/28; 10:00am - 2:00pm in on </span><b><span style="font-size:11.0pt;color:#E74C3C">ZOOM</span></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;color:#2980B9"> </span></i></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:black">10:00am - </span><span style="font-size:11.0pt;color:#500050">Introduction to Mediation Analysis<o:p></o:p></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:black">11:00am - </span><span style="font-size:11.0pt;color:#500050">Panel Data and Mixed Effects Models: What's the Difference?<o:p></o:p></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:black">12:00pm - </span><span style="font-size:11.0pt;color:#500050"> Introduction to Difference-in-Differences<o:p></o:p></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:black">1:00pm - </span><span style="font-size:11.0pt;color:#500050">How to Create Basic Stata Commands<o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;color:#2980B9"> </span></i></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#003DA5">Speaker's Bio:</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<span style="font-size:11.0pt;color:#1F3763"> </span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#003DA5">Dr. Chuck Huber, Director of Statistical Outreach, StataCorp</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:#500050"> <o:p></o:p></span></p>
<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">
<span style="font-size:11.0pt;color:#455A64">Chuck Huber is Director of Statistical Outreach at </span><span style="font-size:11.0pt;color:#500050"><a href="https://www.stata.com/" target="_blank"><span style="color:#F4002B">StataCorp</span></a></span><span style="font-size:11.0pt;color:#455A64"> and
Adjunct Associate Professor of Biostatistics at New York University. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives
talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention,
nutrition and birth defects.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<h6 style="margin:0in"><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#003DA5">Session Information:</span></strong><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<span style="font-size:11.0pt;color:#1F3763"> </span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<span style="font-size:11.0pt;color:blue">1. Introduction to Mediation Analysis</span><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;font-size:1.125rem;break-after:avoid">
<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 28, 10:00AM - 10:50AM, ZOOM</span><span style="font-size:11.0pt;color:#1F3763"><o:p></o:p></span></h6>
<p class="MsoNormal"><span style="font-size:11.0pt;color:#1F3763"><a href="https://ucr.zoom.us/j/95200803028" target="_blank">https://ucr.zoom.us/j/95200803028</a><o:p></o:p></span></p>
<pre style="margin-bottom:12.0pt"><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">Mediation analysis is a statistical technique that is used to parse the direct, indirect, and total effect an independent variable (X) on a dependent variable (Y) in the presence of a mediating variable (M). For example, age (X) is associated with higher systolic blood pressure (Y). Age is also associated with higher weight (M) and increased weight is associated with higher systolic blood pressure (SBP). Age has a direct effect on SBP as well as an indirect effect on SBP through its effect on weight. This talk will introduce the concepts of mediation analysis and demonstrate how to conduct mediation analysis using regression, structural equation modeling (SEM), and how to estimate bootstrap standard errors for mediation models with SEM.</span><span style="font-size:11.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></pre>
<h6 style="margin:0in"><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:blue">2. </span></strong><span style="font-size:11.0pt;color:blue">Panel Data and Mixed Effects Models: What's the Difference? </span><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;font-size:1.125rem;break-after:avoid">
<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 28, 11:00AM - 11:50AM, ZOOM</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<p class="MsoNormal"><span style="font-size:11.0pt;color:#1F3763"><a href="https://ucr.zoom.us/j/98531716090" target="_blank">https://ucr.zoom.us/j/98531716090</a><o:p></o:p></span></p>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">Clustered and repeated measures data are common in all scientific disciplines. Data analysts in various disciplines have developed methods for modeling these kinds of data but differences in terminology make it challenging to understand the similarities and differences among these methods. For example, behavioral and biomedical researchers often use "multilevel", "hierarchical", or "mixed effects" methods to model "longitudinal data" while economists often favor "fixed effects" models and "cluster robust standard errors" for modeling "panel data". This talk will define each of these methods conceptually, describe the similarities and differences between them, and identify the situations where each are appropriate. <o:p></o:p></span></pre>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"><o:p> </o:p></span></pre>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;break-after:avoid">
<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:blue">3. </span></strong><span style="font-size:11.0pt;color:blue">Introduction to Difference in Differences in Stata</span><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;font-size:1.125rem;break-after:avoid">
<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 28, 12:00PM - 12:50PM, ZOOM</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<p class="MsoNormal"><span style="font-size:11.0pt;color:#1F3763"><a href="https://ucr.zoom.us/j/92168079671" target="_blank">https://ucr.zoom.us/j/92168079671</a><o:p></o:p></span></p>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">This talk will briefly introduce the concepts and jargon of difference-in-differences (DID) models and show how to fit the models using Stata's suite of DID commands. We will demonstrate how to fit models for repeated cross-sectional data using 'didregress' and for panel/longitudinal data using 'xtdidregress'. We will also fit heterogeneous DID models where the average treatment effect varies over time or cohort using 'hdidregress' and 'xthdidregress'. We will discuss the model assumptions and how to check these assumptions after fitting a model. We can check the parallel-trends assumption using 'estat trendplots' and 'estat ptrends' and we can check for anticipation of treatment using 'estat granger'. After fitting heterogeneous DID models, we will also demonstrate how to aggregate the average treatment effect among the treated (ATET) using 'estat aggregation' and how to visualize the trends in ATETs using 'estat atetplot'.<o:p></o:p></span></pre>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"><o:p> </o:p></span></pre>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;break-after:avoid">
<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:blue">4. </span></strong><span style="font-size:11.0pt;color:blue">How to Create Basic Stata Commands </span><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;font-size:1.125rem;break-after:avoid">
<span style="font-size:11.0pt;color:black;font-weight:normal">Tuesday, May 28, 1:00PM - 1:50PM, ZOOM</span><span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><o:p></o:p></span></h6>
<h6 style="margin:0in;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;margin:0.5rem;font-size:1.125rem;break-after:avoid">
<span style="font-size:11.0pt;color:#1F3763;font-weight:normal"><a href="https://ucr.zoom.us/j/93468288442" target="_blank">https://ucr.zoom.us/j/93468288442</a><o:p></o:p></span></h6>
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<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">This talk will introduce the basics of creating custom Stata commands. You will learn how to store things in memory, where Stata stores things in memory and how to access them, how to handle conditions and branching, and how to use loops. We will then demonstrate how to use these tools with to write custom Stata commands using -program-, -args-, and -syntax-. You will learn how to write commands to perform simple calculations, post-estimation calculations, and create your own graphics commands. Note that this talk does not demonstrate how to create your own estimation commands.<o:p></o:p></span></pre>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"><o:p> </o:p></span></pre>
<h2 align="center" style="margin:0in;text-align:center;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;break-after:avoid">
<span style="font-size:11.0pt;color:#003DA5;font-weight:normal"><a href="https://ucr.mywconline.com/" target="_blank"><span style="color:white;background:#329AF0">CLICK TO REGISTER</span></a></span><span style="font-size:11.0pt;color:#2F5496;font-weight:normal"><o:p></o:p></span></h2>
<pre><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"><o:p> </o:p></span></pre>
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<p class="MsoNormal"><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">For any questions, Please contact</span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black;font-weight:normal"> </span></strong><b><span style="font-size:11.0pt;color:blue"><a href="mailto:gradquant@ucr.edu" target="_blank">gradquant@ucr.edu</a></span></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">For more information, Please visit</span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black;font-weight:normal"> <a href="https://gradquant.ucr.edu/programs/workshops/spring-2023" target="_blank"><b>GradQuant
Website</b></a></span></strong><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;color:#2980B9"> </span></i></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">To register on WC Online for </span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#500050">GradQuant</span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"> workshops, </span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#4472C4"><a href="https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4" target="_blank" title="https://ucr.mywconline.com/"><span style="color:#4472C4">click
here</span></a>.</span></strong><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:#2980B9">-------------------------------------------------------------------------------------------------------------------------</span><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:black">Other Related Workshops at GradQuant:</span></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<b><i><span style="font-size:11.0pt;color:#2980B9"> </span></i></b><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:blue">Singular Value Decomposition and Linear Regression</span></b><span style="font-size:11.0pt;color:black"><br>
Wednesday, May 29 (5/29)<br>
10:00am - 12:00pm in </span><span style="font-size:11.0pt;color:#500050"><a href="https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8" target="_blank" title="https://gradquant.ucr.edu/location"><span style="color:#1155CC">LFSC
1425</span></a></span><span style="font-size:11.0pt;color:black"> </span><b><span style="font-size:11.0pt;color:#E74C3C">[IN-PERSON]</span></b><span style="font-size:11.0pt;color:black"><br>
<br>
</span><span style="font-size:11.0pt;color:#500050">Unlock the potential of Singular Value Decomposition for dimensionality reduction and enhancing Linear Regression analysis. Become a more efficient programmer and statistician.<o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:blue">Introduction to Python</span></b><span style="font-size:11.0pt;color:black"><br>
Thursday, May 30 (5/30)<br>
3:30pm - 5:00pm <br>
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</span><span style="font-size:11.0pt;color:#500050">This workshop introduces basic programming constructs in python and enables users to understand basics, including syntax, operations, data types and structures, functions, control structures, and simple data
manipulation.<o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">For more information, Please visit</span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black;font-weight:normal"> <a href="https://gradquant.ucr.edu/programs/workshops/spring-2023" target="_blank"><b>GradQuant
Website</b></a></span></strong><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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<strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black">To register on WC Online for </span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#500050">GradQuant</span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:black"> workshops, </span></strong><strong><span style="font-size:11.0pt;font-family:"Aptos",sans-serif;color:#4472C4"><a href="https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4" target="_blank" title="https://ucr.mywconline.com/"><span style="color:#4472C4">click
here</span></a>.</span></strong><span style="font-size:11.0pt;color:#500050"><o:p></o:p></span></p>
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