Ronald P. Carver’s research while affiliated with University of Missouri–Kansas City and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


The Case Against Statistical Significance Testing
  • Article

April 2014

·

373 Reads

·

685 Citations

The Journal of Experimental Education

Ronald P. Carver

At present, too many research results in education are blatantly described as significant, when they are in fact trivially small and unimportant. There are several things researchers can do to minimize the importance of statistical significance testing and get articles published without using these tests. First, they can insert statistically in front of significant in research reports. Second, results can be interpreted before p values are reported. Third, effect sizes can be reported along with measures of sampling error. Fourth, replication can be built into the design. The touting of insignificant results as significant because they are statistically significant is not likely to change until researchers break the stranglehold that statistical significance testing has on journal editors.

Citations (1)


... It is worth noting that there is a long-standing debate on the case for and against hypothesis testing and statistical significance versus effect size [e.g. see (Carver, 1993;Sawilowsky, 2003)]. ...

Reference:

Mitigation measures designed to reduce soil compaction decrease the surface runoff, soil erosion and phosphorus losses from tramlines in agricultural fields
The Case Against Statistical Significance Testing
  • Citing Article
  • April 2014

The Journal of Experimental Education