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

Hyun Chul Cho, Shuzo Abe

Research output: Contribution to journalArticle

76 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1261-1266
Number of pages6
JournalJournal of Business Research
Volume66
Issue number9
DOIs
Publication statusPublished - 2013 Sep

Fingerprint

Hypothesis test
Testing
Hypothesis testing
Legitimacy
Empirical research
Oversight

Keywords

  • Hypothesis testing
  • One-tailed testing
  • Research hypothesis in existential form
  • Research hypothesis in non-existential form
  • Statistical hypothesis
  • Two-tailed testing

ASJC Scopus subject areas

  • Marketing

Cite this

Is two-tailed testing for directional research hypotheses tests legitimate? / Cho, Hyun Chul; Abe, Shuzo.

In: Journal of Business Research, Vol. 66, No. 9, 09.2013, p. 1261-1266.

Research output: Contribution to journalArticle

Cho, Hyun Chul ; Abe, Shuzo. / Is two-tailed testing for directional research hypotheses tests legitimate?. In: Journal of Business Research. 2013 ; Vol. 66, No. 9. pp. 1261-1266.
@article{0624b657499b4d92b8a157311a964dc9,
title = "Is two-tailed testing for directional research hypotheses tests legitimate?",
abstract = "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.",
keywords = "Hypothesis testing, One-tailed testing, Research hypothesis in existential form, Research hypothesis in non-existential form, Statistical hypothesis, Two-tailed testing",
author = "Cho, {Hyun Chul} and Shuzo Abe",
year = "2013",
month = "9",
doi = "10.1016/j.jbusres.2012.02.023",
language = "English",
volume = "66",
pages = "1261--1266",
journal = "Journal of Business Research",
issn = "0148-2963",
publisher = "Elsevier Inc.",
number = "9",

}

TY - JOUR

T1 - Is two-tailed testing for directional research hypotheses tests legitimate?

AU - Cho, Hyun Chul

AU - Abe, Shuzo

PY - 2013/9

Y1 - 2013/9

N2 - 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.

AB - 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.

KW - Hypothesis testing

KW - One-tailed testing

KW - Research hypothesis in existential form

KW - Research hypothesis in non-existential form

KW - Statistical hypothesis

KW - Two-tailed testing

UR - http://www.scopus.com/inward/record.url?scp=84878138012&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878138012&partnerID=8YFLogxK

U2 - 10.1016/j.jbusres.2012.02.023

DO - 10.1016/j.jbusres.2012.02.023

M3 - Article

VL - 66

SP - 1261

EP - 1266

JO - Journal of Business Research

JF - Journal of Business Research

SN - 0148-2963

IS - 9

ER -