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STRONG HYPOTHESIS TESTING IN ORGANIZATIONS ALTERNATIVE APPROACHES TO THE EVALUATION OF PRACTICAL SIGNIFICANCE

STRONG HYPOTHESIS TESTING IN ORGANIZATIONS ALTERNATIVE APPROACHES TO THE EVALUATION OF PRACTICAL... Organizational decisionmakers require information presented in ways that allow them to make informed decisions on the effectiveness of change interventions. Current statistical methods do not provide enough information about the practical value of organizational interventions to decisionmakers. It is proposed that a strong hypothesis testing strategy provides a partial answer to this problem. The hypothesis testing method presented here uses Bayesian statistics to test null hypotheses other than the traditional Ho 0. A description of the evaluation of a change project in six manufacturing plants of a large United States corporation is provided. The data from this project is used to show how both statistical and practical significance may be tested using this hypothesis testing method. The applicability of the strong hypothesis testing approach to the assessment of organizational change is then discussed, and recommendations are made for evaluations conducted in field settings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Organizational Analysis Emerald Publishing

STRONG HYPOTHESIS TESTING IN ORGANIZATIONS ALTERNATIVE APPROACHES TO THE EVALUATION OF PRACTICAL SIGNIFICANCE

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1055-3185
DOI
10.1108/eb028836
Publisher site
See Article on Publisher Site

Abstract

Organizational decisionmakers require information presented in ways that allow them to make informed decisions on the effectiveness of change interventions. Current statistical methods do not provide enough information about the practical value of organizational interventions to decisionmakers. It is proposed that a strong hypothesis testing strategy provides a partial answer to this problem. The hypothesis testing method presented here uses Bayesian statistics to test null hypotheses other than the traditional Ho 0. A description of the evaluation of a change project in six manufacturing plants of a large United States corporation is provided. The data from this project is used to show how both statistical and practical significance may be tested using this hypothesis testing method. The applicability of the strong hypothesis testing approach to the assessment of organizational change is then discussed, and recommendations are made for evaluations conducted in field settings.

Journal

The International Journal of Organizational AnalysisEmerald Publishing

Published: Apr 1, 1995

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