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Mistaking Statistics for Rigor in American Business School Research: Should China Follow, or Lead in a New Direction? 被引量:1
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作者 Allen S. Lee 《Frontiers of Business Research in China》 2014年第4期411-434,共24页
The heavy emphasis on statistical rigor that business schools in American universities place on research is questionable in general and, for business schools in China, is not necessarily a good strategy by which eithe... The heavy emphasis on statistical rigor that business schools in American universities place on research is questionable in general and, for business schools in China, is not necessarily a good strategy by which either to produce useful research or to distinguish themselves from business schools in the United States. The reasons for this pertain to, first, what statistical analysis is good for in science; second, what statistical analysis is not good for in science; third, what statistical analysis is and is not good for in business research; fourth, how a large sample size is not generalizable but a single case is; fifth, how action research, design research, and Herbert Simon's "sciences of the artificial" all demonstrate rigor without statistics; and finally, the historical context that explains the turn to statistics in American business schools but is irrelevant to China. The recommendation is for business schools in China not necessarily to reject statistical research, but rather, to also pursue other, equally scientific forms of research, including those recognized by Herbert Simon. 展开更多
关键词 philosophy of science methodology sciences of the artificial research business researchphilosophy of technology statisticaldesign science design research action
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