Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests

Supplemental Files
Date
2011-08-20
Authors
Schwab, Andreas
Abrahamson, Eric
Schwab, Andreas
Starbuck, William
Fidler, Fiona
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Management
Organizational Unit
Journal Issue
Series
Department
Management
Abstract

Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last two decades. Yet, many behavioral and social scientists are unaware that NHSTs have drawn increasing criticism, so this essay summarizes key criticisms. The essay also recommends alternative ways of assessing research findings. Although these recommendations are not complex, they do involve ways of thinking that many behavioral and social scientists find novel. Instead of making NHSTs, researchers should adapt their research assessments to specific contexts and specific research goals, and then explain their rationales for selecting assessment indicators. Researchers should show the substantive importance of findings by reporting effect sizes and should acknowledge uncertainty by stating confidence intervals. By comparing data with naïve hypotheses rather than with null hypotheses, researchers can challenge themselves to develop better theories. Parsimonious models are easier to understand and they generalize more reliably. Robust statistical methods tolerate deviations from assumptions about samples.

Comments

This article is from Organization Science, 2011, 22(4); 1105-1120. Doi: 10.1287/orsc.1100.0557. Posted with permission.

Description
Keywords
Citation
DOI
Collections