Is two-tailed testing for directional research hypotheses tests legitimate?

By Hyun-Chul Cho, Shuzo Abe. 2013

275 citations recorded by the source corpus.

This paper demonstrates that there is currently a widespread misuse of two-tailed testing for directional research hypotheses tests. One probable reason for this overuse of two-tailed testing is the seemingly valid beliefs that two-tailed testing is more conservative and safer than one-tailed testing. However, the authors examine the legitimacy of this notion and find it to be flawed. A second and more fundamental cause of the current problem is the pervasive oversight in making a clear distinction between the research hypothesis and the statistical hypothesis. Based upon the explicated, sound relationship between the research and statistical hypotheses, the authors propose a new scheme of hypothesis classification to facilitate and clarify the proper use of statistical hypothesis testing in empirical research.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9d1b7175264cdf49c95eacd7e98d62f7a7609642

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In Management Science and Operations Research

  1. M. Janadari
  2. Wei-Chi Tsai
  3. C. Wei
  4. Hsin-Hua Hsiung
  5. S. van der Linden
  6. Subramaniam Sri Ramalu

In Sociology and Political Science

  1. J. Roozenbeek
  2. S. van der Linden
  3. M. Janadari
  4. Wei-Chi Tsai
  5. C. Wei
  6. Hsin-Hua Hsiung
  7. Subramaniam Sri Ramalu
  8. Stephan Lewandowsky

In Statistics and Probability

  1. M. Janadari
  2. Wei-Chi Tsai
  3. J. Roozenbeek
  4. C. Wei
  5. Hsin-Hua Hsiung
  6. S. van der Linden
  7. Subramaniam Sri Ramalu

Citations in the corpus