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<p class="MsoNormal"><span style="font-size:11.0pt">Hello all, please see the below message from Dr. Cengiz Zopluoglu, regarding an upcoming course,
<b>EDLD 661: Item Response Theory</b>. Students are asked to please contact him if interested in taking this course during AY25-26.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><b>From:</b> Cengiz Zopluoglu <br>
<b>Date:</b> April 3, 2025 at 12:13:42<span style="font-family:"Arial",sans-serif"> </span>PM PDT<br>
<b>Subject:</b> <b>Item Response Theory Course Offering</b><o:p></o:p></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">I am planning to offer
<b>EDLD 661: Item Response Theory</b> in the College of Education during the next academic year. The course was last taught in Fall 2022 and has not been offered since. To help with planning, I am conducting a brief survey to gauge student interest.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">Could you please share this message with faculty and graduate students in the Prevention Science doctoral program?<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">If any students are interested in enrolling in the course, I would appreciate it if they could email me directly at
<b><a href="mailto:cengiz@uoregon.edu">cengiz@uoregon.edu</a></b> to indicate their interest by
<b>April 21, 2025</b>.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">Thank you in advance for your help.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">cengiz<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black">#########################################################################################<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Course Name</span></b><span style="font-family:"Times New Roman",serif;color:black">: Item Response Theory<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">UO Course Number</span></b><span style="font-family:"Times New Roman",serif;color:black">: EDLD 661<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-family:"Times New Roman",serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Credit hours:</span></b><span style="font-family:"Times New Roman",serif;color:black"> 3<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Course Overview</span></b><span style="font-family:"Times New Roman",serif;color:black">:
<i>Item Response Theory</i> is a doctoral-level course designed to introduce students to the theory and application of modern psychometric models used in educational and psychological measurement. This course emphasizes understanding the probabilistic modeling
of test performance as an interaction between item characteristics and respondent traits. Students will explore key IRT models—particularly unidimensional Rasch models—along with their assumptions, properties, and estimation methods. Through hands-on experience
with real datasets and statistical software, students will learn to conduct IRT analyses, interpret model parameters, and apply results to address practical measurement challenges.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Primary Texts:
</span></b><span style="font-family:"Times New Roman",serif;color:black">Wilson, M. (2023).
<i>Constructing measures: An item response modeling approach</i> (2nd ed.). Routledge.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Primary Software</span></b><span style="font-family:"Times New Roman",serif;color:black">: R and R packages (TAM, mirt, eRM). Students are expected
to have a basic proficiency in R and work with RStudio or their choice of IDE for R.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Course Schedule Draft</span></b><span style="font-family:"Times New Roman",serif;color:black">: Please look at the attachment for the planned content
for a 10-week course.<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Times New Roman",serif;color:black">Instructor information:
</span></b><span style="font-family:"Times New Roman",serif;color:black">Dr. Cengiz Zopluoglu is a faculty member in the Special Education doctoral program at the University of Oregon. He specializes in quantitative methods and psychometric theory, with a strong
research focus on item response theory (IRT) and its applications. Dr. Zopluoglu has published extensively in this area and brings significant instructional experience, having taught IRT for five years at the University of Miami before his current appointment
at the University of Oregon.<o:p></o:p></span></p>
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