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数据质量影响元分析结论:对Miner和Raju(2004年)关于创业风险倾向的回应。

Data quality affects meta-analytic conclusions: a response to Miner and Raju (2004) concerning entrepreneurial risk propensity.

作者信息

Stewart Wayne H, Roth Philip L

机构信息

Department of Management, Clemson University, Clemson, SC 29634-1305, USA.

出版信息

J Appl Psychol. 2004 Feb;89(1):14-21. doi: 10.1037/0021-9010.89.1.14.

Abstract

J. B. Miner and N. S. Raju (2004) contended that there are additional studies that compare the risk propensity of entrepreneurs and managers, which, when added to the data from W. H. Stewart and P. L. Roth (2001) and meta-analyzed, produce relationships between risk propensity and entrepreneurial status that are substantially weaker than previously believed. This conclusion was evaluated by identifying and examining methodological problems associated with their inclusion of effect sizes (i.e., ds) from studies with variables not relevant to research questions, dependent samples, extraneous variance in outcome variables, and confusion of constructs. When these methodological issues were addressed, a new meta-analysis indicated an overall conclusion consistent with that of Stewart and Roth, but the results varied according to instrumentation, particularly objective instrumentation (observed d = 0.31) versus the Miner Sentence Completion Scale-Form T (observed d = -0.35).

摘要

J. B. 迈纳和N. S. 拉朱(2004年)认为,还有其他一些研究比较了企业家和经理人的风险倾向,将这些研究与W. H. 斯图尔特和P. L. 罗斯(2001年)的数据相加并进行元分析后,得出的风险倾向与创业状态之间的关系比之前认为的要弱得多。通过识别和检查与纳入效应量(即d值)相关的方法问题来评估这一结论,这些问题包括来自与研究问题无关变量的研究、相关样本、结果变量中的外部方差以及构念混淆。当解决了这些方法问题后,一项新的元分析表明总体结论与斯图尔特和罗斯的一致,但结果因测量工具而异,特别是客观测量工具(观察到的d = 0.31)与迈纳句子完成量表-T型(观察到的d = -0.35)。

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