National Board Certification and Teacher Effectiveness: Evidence from a Random Assignment Experiment / Steven Cantrell, Jon Fullerton, Thomas J. Kane, Douglas O. Staiger.

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Cantrell, Steven

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w14608.Publication details: Cambridge, Mass. National Bureau of Economic Research 2008.Description: 1 online resource: illustrations (black and white)Subject(s):

I21 - Analysis of Education

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Abstract: The National Board for Professional Teaching Standards (NBPTS) assesses teaching practice based on videos and essays submitted by teachers. We compared the performance of classrooms of elementary students in Los Angeles randomly assigned to NBPTS applicants and to comparison teachers. We used information on whether each applicant achieved certification, along with information on each applicant's NBPTS scaled score and subscores, to test whether the NBPTS score was related to teacher impacts on student achievement. We found that students randomly assigned to highly-rated applicants performed better than students assigned to comparison teachers, while students assigned to poorly-rated applicants performed worse. Estimates were similar using data on pairs of teachers that were not randomly assigned. Our results suggest a number of changes that would improve the predictive power of the NBPTS process.

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December 2008.

The National Board for Professional Teaching Standards (NBPTS) assesses teaching practice based on videos and essays submitted by teachers. We compared the performance of classrooms of elementary students in Los Angeles randomly assigned to NBPTS applicants and to comparison teachers. We used information on whether each applicant achieved certification, along with information on each applicant's NBPTS scaled score and subscores, to test whether the NBPTS score was related to teacher impacts on student achievement. We found that students randomly assigned to highly-rated applicants performed better than students assigned to comparison teachers, while students assigned to poorly-rated applicants performed worse. Estimates were similar using data on pairs of teachers that were not randomly assigned. Our results suggest a number of changes that would improve the predictive power of the NBPTS process.