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<p class="MsoNormal"><span style="color:#1F497D">Hello Kayla: Sorry, I did not see whether these are duplicative of your other responses….<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">In regard to multiple regression, I think it would be useful to read about this technique from a professor who worked with “real world” data in recidivism:<o:p></o:p></span></p>
<p class="MsoNormal"><a name="_MailEndCompose"><span style="color:#1F497D"><o:p> </o:p></span></a></p>
<p class="MsoNormal"><span style="color:#1F497D">Regression Analysis: A Constructive Critique<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Richard A. Berk<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">SAGE, 2004 - Mathematics - 259 pages<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">0 Reviews<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. Regression
is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so
that readers can better match regression analysis with useful empirical questions and improved policy-related research.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">In regard to real-world studies and understanding threats to validity of final results from a statistical view:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Experimental and Quasi-experimental Designs for Generalized Causal Inference<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">William R. Shadish, Thomas D. Cook, Donald Thomas Campbell<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Houghton Mifflin, 2002 - Philosophy - 623 pages<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">1 Review<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major
topics in field experimentation:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"> Theoretical matters: Experimentation, causation, and validity<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"> Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"> Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"> Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Money, Work, and Crime: Experimental Evidence (Quantitative studies in social relations series) , by Peter H. Rossi (Author), Richard A. Berk (Author), Kenneth J. Lenihan (Author)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">In PARTICULAR the chapter by Berk and Brewer called “Feet of Clay in Hobnail boots” page 238 or something like that. It talks about over fitting regression models to real world data.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Hope these help.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Valerie T Stewart, Ph.D.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Manager, Oregon Enterprise Data Analytics<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Oregon Forecasting Research and Analysis<o:p></o:p></span></p>
<p class="MsoNormal"><a href="mailto:Valerie.t.stewart@dhsoha.state.or.us"><span style="color:#0563C1">Valerie.t.stewart@dhsoha.state.or.us</span></a><span style="color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">(503) 945-5676 desk line<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">(503) 449-5096 mobile phone<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b>From:</b> Sora [mailto:sora-bounces@listsmart.osl.state.or.us]
<b>On Behalf Of </b>Brookshire Kayla<br>
<b>Sent:</b> Tuesday, January 17, 2017 4:33 PM<br>
<b>To:</b> 'sora@listsmart.osl.state.or.us' <sora@listsmart.osl.state.or.us><br>
<b>Subject:</b> [Sora] Request for Reference Library Recommendations<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Good Afternoon SORA Members,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I am a Research Analyst with the Department of Justice, Division of Child Support. We are in the process of building a research analyst reference library for our team.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Given the expansive body of knowledge of SORA members, we wanted to reach out and ask: what are your recommendations for specific titles to add to our library?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">We are particularly interested in obtaining references for the following areas:
<o:p></o:p></p>
<p class="MsoListParagraph" style="text-indent:-.25in;mso-list:l0 level1 lfo2"><![if !supportLists]><span style="font-family:Wingdings"><span style="mso-list:Ignore">§<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>SQL training materials, and<o:p></o:p></p>
<p class="MsoListParagraph" style="text-indent:-.25in;mso-list:l0 level1 lfo2"><![if !supportLists]><span style="font-family:Wingdings"><span style="mso-list:Ignore">§<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>References for quantitative analysis (descriptive and inferential) including multivariate regression
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Any recommendation of texts, manuals, handbooks, etc. from introductory to advanced level would be most appreciated.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Thank you all in advance,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Palatino Linotype",serif;color:#365F91">Kayla M. Brookshire<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#365F91">Program Performance Analyst | Division of Child Support<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#365F91">Oregon Department of Justice<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#365F91">Child Support Program Administration<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#365F91">503.947.4639<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Palatino Linotype",serif;color:#365F91"><a href="http://www.oregonchildsupport.gov/"><span style="color:#365F91">oregonchildsupport.gov</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">*****CONFIDENTIALITY NOTICE*****<br>
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