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<rss version="2.0"><channel><title>NCEE What's New</title><link>http://ies.ed.gov/ncee/whatsnew/</link><description>For the latest in events, developments, and updates to the NCEE website, check back here often.</description><language>en-us</language><category>education</category><category>statistics</category><category>data access tools</category><category>libraries</category><category>schools</category><category>colleges</category><item><title>Impacts of Title I Supplemental Educational Services on Student Achievement</title><description><![CDATA[A new report examines the potential achievement benefits of Title I Supplemental Education Services on the reading and mathematics achievement of students in six school districts where services are oversubscribed.  "Impacts of Title I Supplemental Educational Services on Student Achievement," uses a regression discontinuity design to obtain estimates of the impacts of SES in the six study districts in three states (Connecticut, Ohio, and Florida) where more eligible students applied for SES than could be served with available funds, requiring prioritization of SES to the lowest-achieving students among the eligible applicants.  Analyses compare the outcomes of students just below and above the cutoff value for receiving services.<br/><br/>
The report presents analyses based on district data collected on all SES applicants and survey data collected from SES providers serving the six study districts.]]></description><pubDate>5/3/2012 8:00:13 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124053/</link></item><item><title>NCEE releases Technical Methods paper on comparing experimental and non-experimental designs</title><description><![CDATA[This NCEE Technical Methods Paper compares the estimated impacts of the offer of charter school enrollment using an experimental design and a non-experimental comparison group design. The study examined four different approaches to creating non-experimental comparison groups ordinary least squares regression modeling, exact matching, propensity score matching, and fixed effects modeling.  The data for the study are from students in the districts and grades that were represented in an experimental design evaluation of charter schools conducted by the U.S. Department of Education in 2010 (For more information, see: <a href="http://ies.ed.gov/ncee/pubs/20104029/index.asp">http://ies.ed.gov/ncee/pubs/20104029/index.asp</a>)<br/><br/>
The study found that none of the comparison group designs reliably replicated the impact estimates from the experimental design study.  However, the use of pre-intervention baseline data that are strongly predictive of the key outcome measures considerably reduced, but did not eliminate the estimated bias in the non-experimental impact estimates. Estimated impacts based on matched comparison groups were more similar to the experimental estimators than were the estimates based on the regression adjustments alone, the differences are moderate in size, although not statistically significant.]]></description><pubDate>4/26/2012 8:10:02 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124019/</link></item><item><title>Replicating Experimental Impact Estimates Using a Regression Discontinuity Approach</title><description><![CDATA[This NCEE Technical Methods Paper compares the estimated impacts of an educational intervention using experimental and regression discontinuity (RD) study designs. The analysis used data from two large-scale randomized controlled trials&mdash;the <a href="http://ies.ed.gov/pubsearch/pubsinfo.asp?pubid=NCEE20074006">Education Technology Evaluation</a> and the <a href="http://nces.ed.gov/transfer.asp?location=www.mathematica-mpr.com/publications/howtoorder.asp">Teach for America Study</a>&mdash;to provide evidence on the performance of RD estimators in two specific contexts. More generally, the report presents and implements a method for examining the performance of RD estimators that could be used in other contexts. The study found that the RD and experimental designs produced impact estimates that were meaningful in size, though not significantly different from one another. The study also found that manipulation of the assignment variable in RD designs can substantially influence RD impact estimates, particularly if manipulation is related to the outcome and occurs close to the assignment variable's cutoff value.]]></description><pubDate>4/25/2012 8:05:59 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124025/</link></item><item><title>Moving Teachers: Implementation of Transfer Incentives in Seven Districts</title><description><![CDATA[A new report describes implementation and intermediate impacts of an intervention designed to provide incentives to induce a school district's highest-performing teachers to work in its lowest-achieving schools.  The report, "Moving Teachers: Implementation of Transfer Incentives in Seven Districts," uses random assignment within each district to form two equivalent groups of classrooms at the same grade level ("teacher teams"), a treatment group that had the chance to participate in the intervention and a control group that did not. Analyses include 90 vacancy pairs and 86 schools in the 7 study districts. 
Data for this report were collected on program implementation and teacher-  and principal-reported behaviors and perceptions.]]></description><pubDate>4/3/2012 9:08:28 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124051/</link></item><item><title>What Are Districts&amp;#8217; Written Policies Regarding Student Substance-Related Incidents?</title><description><![CDATA[Recent events have increased interest in district policies relating to student substance use and whether they best serve the needs of their communities and students. To better understand the nature of the policies that may be in use around the country, the Institute of Education Sciences commissioned a study to examine the features of the written substance-related policies for the 100 largest school districts in the country.]]></description><pubDate>2/1/2012 10:26:57 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124022/</link></item><item><title>NCEE Reference Report Examines the Use of State Test Scores in Multi-State and Multi-Grade Randomized Experiments</title><description><![CDATA[An important question for educational evaluators is how best to measure academic achievement, the outcome of primary interest in many studies. In large-scale evaluations, student achievement has typically been measured by administering a common standardized test to all students in the study (a "study-administered test"). In the era of No Child Left Behind (NCLB), however, state assessments have become an increasingly viable source of information on student achievement. Using state tests scores can yield substantial cost savings for the study and can eliminate the burden of additional testing on students and teaching staff. On the other hand, state tests can also pose certain difficulties: their content may not be well aligned with the outcomes targeted by the intervention and variation in the content and scale of the tests can complicate pooling scores across states and grades.]]></description><pubDate>10/12/2011 9:20:10 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124015/</link></item><item><title>NCEE Reference Report Analyzes the Consequences of Using State Assessments to Measure Student Achievement in Evaluations of Educational Interventions </title><description><![CDATA[State assessments provide a relatively inexpensive and increasingly accessible source of data on student achievement.  In the past, rigorous evaluations of educational interventions typically administered standardized tests selected by the researchers ("study-administered tests") to measure student achievement outcomes.  Increasingly, researchers are turning to the lower cost option of using state assessments for measures of student achievement.]]></description><pubDate>10/11/2011 1:58:17 PM</pubDate><link>http://ies.ed.gov/ncee/pubs/20124016/</link></item><item><title>NCEE releases report on &amp;quot;Variability in Pretest-Posttest Correlation Coefficients by Student Achievement Level&amp;#8221;</title><description><![CDATA[State assessments are increasingly used as outcome measures for education evaluations. The scaling of state assessments produces variability in measurement error, with the conditional standard error of measurement increasing as average student ability moves toward the tails of the achievement distribution. This report examines the variability in pretest-posttest correlation coefficients of state assessment data for samples of low-performing, average-performing, and proficient students to illustrate how sample characteristics (including the measurement error of observed scores) affect pretest-posttest correlation coefficients. As an application, this report highlights how statistical power can be attenuated when correlation coefficients vary according to sample characteristics. Achievement data from four states and two large districts in both English/Language Arts and Mathematics for three recent years are examined. The results confirm that pretest-posttest correlation coefficients are smaller for samples of low performers, reducing statistical power for impact studies. Substantial variation across state assessments was also found. These findings suggest that it may be useful to assess the pretest-posttest correlation coefficients of state assessments for an intervention&#8217;s target population during the planning phase of a study.]]></description><pubDate>9/7/2011 11:15:01 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20114033/</link></item><item><title>Final Report on the Evaluation of the Comprehensive Technical Assistance Centers Program</title><description><![CDATA[This congressionally mandated report examines the work of the Comprehensive Technical Assistance Centers in three of the five program years (2006-07, 2007-08, 2008-09), starting with the second year of program funding. The Comprehensive Technical Assistance Centers program is authorized under the Educational Technical Assistance Act of 2002 to provide technical assistance to states to implement provisions of NCLB through 16 Regional Comprehensive Centers (RCCs) and 5 Content Centers (CCs). The evaluation focuses on the Centers' work drawing upon information gathered from Center management plans, an inventory of each Center&#8217;s projects, interviews with staff from each Center, surveys of state managers and project participants, and an assessment of the projects by an expert panel. The main findings include:
<ul>
<li>Consistent with the program design, RCCs worked directly with states on an ongoing basis in over 80 percent of sampled projects in each year, and CCs focused on synthesizing, translating, and delivering knowledge to RCCs and states in more than 70 percent of sampled projects in each year.</li>
<li>Centers addressed the most frequently cited state priority of "statewide systems of support," and an increasing number of state managers reported each year that Center assistance served their purposes. In 2008-09, 82 percent of state managers reported that Center assistance expanded state capacity in "statewide systems of support" to a "great" or "moderate" extent. </li>
<li>On average across each of the three years, expert panels rated sampled project materials as "moderate" to "high" quality, and project participants rated the sampled projects "high" on relevance and usefulness. Ratings were on a 5-point scale, with 3 representing "moderate" and 4 representing "high."</li></ul>
]]></description><pubDate>8/31/2011 9:42:03 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20114031/</link></item><item><title>NCEE Releases Report on the IDEA National Assessment Implementation Study and National Assessment of IDEA Overview</title><description><![CDATA[The Individuals with Disabilities Education Act (IDEA), reauthorized in 2004, supports states in the provision of early intervention and special education and related services for 7 million children and youth with disabilities. In fiscal year 2010, federal funding for IDEA was $12.6 billion.<br/><br/>
The congressionally mandated study provides a national picture of state agency implementation of early intervention programs for infants and toddlers (IDEA Part C) and both state and school district implementation of special education programs for preschool- and school-age children (IDEA Part B).  The study is based on surveys of state agency directors and a nationally representative sample of district special education directors conducted in 2009. The key findings include:
<ul>
<li>State Part C agencies support the transition of toddlers with disabilities to Part B preschool-age special education programs, but Part C has not expanded to serve children until kindergarten. At age 3, toddlers receiving Part C services transition to Part B services (if eligible), typically involving a change in lead agency (in 46 states) and often a change in support staff, service settings, and services.</li>
<li>Most school districts (85 percent) do not use IDEA Part B funds to provide Coordinated Early Intervening Services (CEIS). IDEA 2004 permits, and in some cases requires, school districts to use some of their Part B funds to provide CEIS, services for students not yet identified as needing special education.  These services are meant to address the overrepresentation of racial/ethnic minority students in special education.</li>
<li>Most school districts implement Response to Intervention (RtI), use RtI data when determining specific learning disability (SLD) eligibility, and support RtI with district general funds. RtI, a range of practices for monitoring student academic and behavioral progress and providing targeted interventions, was added to IDEA in 2004 as a way to inform the determination of SLD and implement CEIS.</li>
]]></description><pubDate>7/26/2011 9:06:52 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20114026/index.asp</link></item><item><title>Middle School Mathematics Professional Development  Impact Study: Findings After the Second Year of Implementation</title><description><![CDATA[A new report contains impact findings from an evaluation of intensive math professional development that focuses on teachers' knowledge of rational number topics, including specialized mathematics knowledge that may be useful for teaching these topics.   The report estimates the impact of offering professional development (PD) consisting of over 100 hours of instruction and support to seventh-grade mathematics teachers across 2 years. The report, "Middle School Mathematics Professional Development Impact Study: Findings After the Second Year of Implementation," is based on a randomized controlled trial and includes analyses from a second implementation year in 39 schools in 6 districts across 6 states.  Data were collected on program implementation, a study administered teacher knowledge test, and student achievement on a rational numbers test.]]></description><pubDate>5/25/2011</pubDate><link>http://ies.ed.gov/ncee/pubs/20114024/index.asp</link></item><item><title>Impacts of a Violence Prevention Program for Middle Schools: Findings After 3 Years of Implementation</title><description><![CDATA[A new report contains impact findings from an evaluation of a hybrid violence prevention intervention. The intervention is comprised of a curriculum-based approach (Responding in Peaceful and Positive Ways) and a whole-school approach (BEST Behavior) and was implemented in middle schools.<br/><br/>
The report, "Impacts of a Violence Prevention Program for Middle Schools: Findings After 3 Years of Implementation," uses a randomized controlled trial and includes 36 schools in 11 districts across 6 states that remained in the study for all 3 years.  Data were collected on program implementation, and outcomes were based on annually administered student and teacher survey responses.]]></description><pubDate>5/24/2011 9:05:38 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20114017/</link></item><item><title>Baseline Analyses of SIG Applications and SIG-Eligible and SIG-Awarded Schools</title><description><![CDATA[The Study of School Turnaround (SST) is an examination of the implementation of School Improvement Grants (SIG) authorized under Title I section 1003(g) of the Elementary and Secondary Education Act (ESEA) and supplemented by the American Recovery and Reinvestment Act of 2009.  "Baseline Analyses of SIG Applications and SIG-Eligible and SIG-Awarded Schools" uses publicly-available data from State Education Agency (SEA) Web sites, SEA SIG applications, and the National Center for Education Statistics' Common Core of Data to examine the following:  (1) the SIG related policies and practices that states intend to implement, and (2) the characteristics of SIG eligible and SIG awarded schools.  This first report provides context on SIG.]]></description><pubDate>5/9/2011 9:10:17 AM</pubDate><link>http://ies.ed.gov/ncee/pubs/20114019/</link></item><item><title>Do Low-Income Students Have Equal Access to the Highest-Performing Teachers? </title><description><![CDATA[A new evaluation brief describes the prevalence of highest-performing teachers in ten purposely selected districts across seven states. The overall patterns indicate that low-income students have unequal access, on average, to the districts&#8217; highest-performing teachers at the middle school level but not at the elementary level. Within the ten districts studied, some have an under-representation of the highest-performing teachers in high-poverty elementary and middle schools while others have under-representation only at the middle school level.  One district has a disproportionate share of the district&#8217;s highest-performing teachers in its high-poverty elementary schools.]]></description><pubDate>4/1/2011</pubDate><link>http://ies.ed.gov/ncee/pubs/20114016/</link></item><item><title>The Impact of a Reading Intervention for Low-Literate Adult ESL Learners</title><description><![CDATA[A new report contains impact findings from an evaluation of a reading intervention for low-literate adult English as a Second Language (ESL) Learners.  The reading intervention provided was the basal reader Sam and Pat, Volume I (published by Thomson-Heinle, 2006).<br/><br/>
The report, The Impact of a Reading Intervention for Low-Literate Adult ESL Learners, uses data collected from 1,137 adult ESL learners across ten sites in four states.]]></description><pubDate>12/21/2010</pubDate><link>http://ies.ed.gov/ncee/pubs/20114003/index.asp</link></item></channel></rss>

