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Adding Design Elements to Improve Time Series Designs: No Child Left Behind as an Example of Causal Pattern-Matching

Author

Listed:
  • Manyee Wong
  • Thomas D. Cook
  • Peter M. Steinerd

Abstract

Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs.

Suggested Citation

  • Manyee Wong & Thomas D. Cook & Peter M. Steinerd, "undated". "Adding Design Elements to Improve Time Series Designs: No Child Left Behind as an Example of Causal Pattern-Matching," Mathematica Policy Research Reports f2eb99fee02243eabb247e6b8, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:f2eb99fee02243eabb247e6b808a8b1b
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    File URL: http://www.tandfonline.com/doi/full/10.1080/19345747.2013.878011
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    Citations

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    Cited by:

    1. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    2. Arnaud Cedric Kamkoum, 2023. "The Federal Reserve's Response to the Global Financial Crisis and Its Long-Term Impact: An Interrupted Time-Series Natural Experimental Analysis," Papers 2305.12318, arXiv.org.

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