Adding Design Elements to Improve Time Series Designs: No Child Left Behind as an Example of Causal Pattern-Matching
Manyee Wong,
Thomas D. Cook and
Peter M. Steinerd
Mathematica Policy Research Reports from Mathematica Policy Research
Abstract:
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs.
Keywords: No Child Left Behind; pattern matching; coherence; comparative interrupted time series (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.tandfonline.com/doi/full/10.1080/19345747.2013.878011 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:f2eb99fee02243eabb247e6b808a8b1b
Access Statistics for this paper
More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).