<div dir="ltr"><p class="" align="center" style="text-align:center"><b><span style="font-size:11pt;font-family:Calibri,sans-serif;color:red;text-transform:uppercase">DEADLINE
EXTENDED</span></b><b><span style="font-size:11pt;font-family:Calibri,sans-serif;color:red">! Applications due June 5!<span style="text-transform:uppercase"></span></span></b></p>
<p class="" align="center" style="text-align:center"><b><i><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(127,127,127);text-transform:uppercase">Free
Data Workshop, stipends available</span></i></b><br></p>
<p class="" align="center" style="text-align:center"><b><span style="font-family:Calibri,sans-serif;text-transform:uppercase">maximizing the
head start impact study:</span></b><br></p>
<p class="" align="center" style="text-align:center"><b><span style="font-family:Calibri,sans-serif;text-transform:uppercase">New third grade
follow-up data, Contextual Variables, </span></b></p>
<p class="" align="center" style="text-align:center"><b><span style="font-family:Calibri,sans-serif;text-transform:uppercase">and approaches to
understanding variation in impacts</span></b></p>
<p class="" align="center" style="text-align:center"><span style="font-family:Calibri,sans-serif;font-size:10pt">July 16-18, 2014</span><br></p><p class="" align="center" style="text-align:center"><span style="font-size:10pt;font-family:Calibri,sans-serif">
Ann Arbor, MI</span></p>
<p class="" style="text-align:left"><span style="font-family:Calibri,sans-serif;font-size:11pt">The Head Start Impact Study (HSIS) is a large,
longitudinal, nationally representative study of the Head Start Population,
aimed at determining how Head Start affects their school readiness. Join us for
a fresh look at this significant dataset, including discussion of new
methodology for better understanding impacts, and new variables that allow for
contextual analysis and follow-up of children through third grade. Participants
will have time to work on-site with all of the available data, with the
instructors providing guidance and support.</span><br></p>
<p class="MsoNormal"><span style="font-size:8pt;font-family:Calibri,sans-serif"> </span><i><u><span style="font-size:11pt;font-family:Calibri,sans-serif">Head Start Impact Study and the Third Grade
Follow-up </span></u></i><i><u><span style="font-size:11.5pt;font-family:Calibri,sans-serif">to the Head Start Impact Study</span></u></i></p>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:Calibri,sans-serif">Dr. Camilla Heid, Westat</span></b><span style="font-size:11pt;font-family:Calibri,sans-serif"> and <b>Ms. Ronna Cook, Ronna Cook Associates</b>, will lead a session providing an
overview of the study purpose, methods, and key findings for the HSIS and the
subsequent Third Grade Follow-up. The presentation will include a
discussion of the sample selection, random assignment, instruments, analysis,
basic weights, data files, and tips for using the datasets.</span></p>
<p class="MsoNormal"><span style="font-size:3pt;font-family:Calibri,sans-serif"> </span></p>
<p class="MsoNormal"><i><u><span style="font-size:11pt;font-family:Calibri,sans-serif">New Analysis Method: Impact Variation</span></u></i></p>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:Calibri,sans-serif">Dr. Christina Weiland, University of Michigan</span></b><span style="font-size:11pt;font-family:Calibri,sans-serif">, will lead a session on detecting and quantifying variation in the
effects of assignment to Head Start. She will cover the conceptual
framework and statistical principles behind this new and evolving
methodology. Dr. Weiland also will present findings on variation in the
impacts of Head Start assignment. </span></p>
<p class="MsoNormal"><span style="font-size:3pt;font-family:Calibri,sans-serif"> </span></p>
<p class="MsoNormal"><i><u><span style="font-size:11pt;font-family:Calibri,sans-serif">Added Variables: Neighborhood Data</span></u></i></p>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:Calibri,sans-serif">Dr. Dana McCoy, Harvard University</span></b><span style="font-size:11pt;font-family:Calibri,sans-serif"> and <b>Ms. Maia Connors, NYU</b> will lead a
session on the new publicly available neighborhood data associated with the HSIS.
This session will cover the origins of the neighborhood data,
descriptions of key variables, and tips for matching the data with centers and
center groups. The instructors will also present their own work as
examples of how the neighborhood data can be applied.</span></p>
<p class="MsoNormal"><span style="font-size:3pt;font-family:Calibri,sans-serif"> </span></p>
<p class="MsoNormal"><i><u><span style="font-size:11pt;font-family:Calibri,sans-serif">Tips and Tricks</span></u></i></p>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:Calibri,sans-serif">Dr. Christina Weiland</span></b><span style="font-size:11pt;font-family:Calibri,sans-serif">, <b>Dr. Dana McCoy</b>, and <b>Maia Connors</b> will lead a session on
tips, tricks, and lessons learned in using the HSIS data. This session will
deepen participants' understanding of particularly challenging and complex
aspects of these data. The session will cover a variety of topics including
decisions regarding the use of sampling weights, measures of classroom quality,
and choosing among similar variables. Participants will have the opportunity to
explore some of these issues and familiarize themselves with the data in
hands-on practice sessions. </span></p>
<p class="MsoNormal"><span style="font-size:6pt;font-family:Calibri,sans-serif"> </span></p>
<p class="MsoNormal"><span style="font-size:11pt;font-family:Calibri,sans-serif">Participants are expected to have a basic
understanding of secondary data, fundamental data analysis skills including
multi-level modeling, knowledge of SPSS, SAS, or Stata, and a substantive
interest in early care and education.
Please include in your cover letter a description of any prior
experience with the HSIS.<span style="color:red"> </span><b>The
workshop is free, but enrollment is limited.</b> Researchers interested in
using this dataset to answer policy relevant questions in child development and
early care and education are encouraged to apply. All applications must include
a vita and cover letter summarizing research interests and experiences.
Admitted graduate students, post-doctoral scholars, and junior
faculty/researchers will be considered for one of a limited number of stipends
to help with travel and housing costs. <u>To
be considered for one of these awards, applicants must also submit a letter of
support from a senior faculty member, mentor, or advisor</u>.<span style="color:red"></span></span></p>
<p class="MsoNormal"><span style="font-size:8pt"> </span></p>
<p class="" align="center" style="text-align:center"><b><span style="font-family:Calibri,sans-serif">Application deadline: <span style="color:red">June 5, 2014</span></span></b></p>
<p class="" align="center" style="text-align:center"><b><span style="font-size:1pt;font-family:Calibri,sans-serif"> </span></b><b><span style="font-family:Calibri,sans-serif">Applications are competitive. A limited number of stipends will be awarded.</span></b></p>
<b><span style="font-family:Calibri,sans-serif">For more information
or to apply visit: </span></b><span style="font-family:'Times New Roman',serif"><a href="http://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0183" target="_blank"><b><span style="font-family:Calibri,sans-serif;color:rgb(36,64,97)">http://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0183</span></b></a></span><br clear="all">
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