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SERVE > Topic Areas > Educational Research > What is SBR?

 

 

What is Scientifically Based Research?

As you search for educational products and practices to help you improve your schools, you will want to know whether the ones you find have been validated using the principles of scientifically based research (SBR). The products and practices you consider and the information in publications that you consult should have been validated through studies designed to meet basic standards of research quality. The principles of scientific research in education presented here were compiled from descriptions offered by Dr. Grover Whitehurst, Director of the Institute of Education Sciences, U.S. Department of Education, from the National Research Council’s publications on Scientific Research in Education (NRC 2002; NRC 2004) and from a document on research quality prepared by SERVE for a Regional Laboratory Network working group.

 


There are two major categories of research studies used to validate educational products:

Experimental

  • Randomized experiments in which participants are randomly assigned to treatment and control groups.
  • Quasi-experimental studies in which participants are matched on a list of criteria to equate treatment and control groups.

Descriptive

  • Outcomes are measured and compared before and after treatment (Quantitative).
  • Correlational studies in which associations between two or more variables are examined. This type of study includes “best practice” studies that describe the characteristics of high-achieving sites (Quantitative).
  • Case studies in which particular sites are examined in detail (Qualitative).

Any one of these methods may be appropriate, depending on the research question. However, the study must have a strong research design.

The following are brief descriptions of four major kinds of studies you will encounter. We have limited our description of these designs to their barest essentials for your understanding. Researchers employ much more elaborate designs, with multidimensional interventions and elaborate statistical analyses in areas in which experimentation is common, such as medicine, psychology, and agriculture.