度量(数据仓库)
变量(数学)
可靠性(半导体)
计算机科学
简单(哲学)
计量经济学
变革管理(ITSM)
考试(生物学)
风险分析(工程)
管理科学
经济
运营管理
业务
数学
数据挖掘
认识论
哲学
精益制造
古生物学
数学分析
功率(物理)
物理
生物
量子力学
作者
Donald D. Bergh,James F. Fairbank
摘要
Abstract This paper reviews some critical issues associated with measuring and testing change and then reports on how strategy researchers have addressed those matters. We first discuss three key methodological requirements: reliability assumptions of change variables, correlations between the change variable and its initial measure, and selection of unbiased measurement alternatives. Next, we present data from a content analysis of 126 change studies which suggest that strategy researchers tend not to recognize those requirements. Indeed, the typical approach used to measure and test change (as a simple difference between two measures of the same variable) is usually inappropriate and could lead to inaccurate findings and flawed conclusions. We conclude by offering suggestions for how change can be studied more rigorously. Copyright © 2002 John Wiley & Sons, Ltd.
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