All Bachelors are Unmarried Men (p < 0.05)

All Bachelors are Unmarried Men (p < 0.05) This paper adds to the list of criticisms against null hypothesis significance testing (NHST). I argue that when researchers do not analyze the conceptual relations among their variables, they may fail to distinguish between logical implications and empirical relations. It does not make sense to use significance testing on hypotheses involving conceptually related phenomena. The widespread lack of conceptual clarification also leads to very small effect sizes in psychology because it causes study participants to understand the stimulus material in different ways. Therefore, they answer in an inconsistent way. Researchers show an extremely low degree of ambition when they seek to show that psychological phenomena differ from chance, or when they try to disprove a hypothesis claiming that a psychological phenomenon does not exist. I see significance testing as a poor solution to the problem of tiny effect sizes in psychology. I recommend that psychological researchers be more explicit both about their main hypotheses and their auxiliary hypotheses. As examples, I analyse all quantitative articles in Issue 1, 2005 of the Journal of Health Psychology. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

All Bachelors are Unmarried Men (p < 0.05)

Loading next page...
 
/lp/springer_journal/all-bachelors-are-unmarried-men-p-0-05-VZHj2glbbq
Publisher
Springer Netherlands
Copyright
Copyright © 2006 by Springer Science + Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-006-9036-4
Publisher site
See Article on Publisher Site

Abstract

This paper adds to the list of criticisms against null hypothesis significance testing (NHST). I argue that when researchers do not analyze the conceptual relations among their variables, they may fail to distinguish between logical implications and empirical relations. It does not make sense to use significance testing on hypotheses involving conceptually related phenomena. The widespread lack of conceptual clarification also leads to very small effect sizes in psychology because it causes study participants to understand the stimulus material in different ways. Therefore, they answer in an inconsistent way. Researchers show an extremely low degree of ambition when they seek to show that psychological phenomena differ from chance, or when they try to disprove a hypothesis claiming that a psychological phenomenon does not exist. I see significance testing as a poor solution to the problem of tiny effect sizes in psychology. I recommend that psychological researchers be more explicit both about their main hypotheses and their auxiliary hypotheses. As examples, I analyse all quantitative articles in Issue 1, 2005 of the Journal of Health Psychology.

Journal

Quality & QuantitySpringer Journals

Published: Sep 14, 2006

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off