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机译:社论

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Part of the success of entrepreneurship research is its widespread use of empirical approaches to illustrate and understand entrepreneurial phenomena. In this regard, our understanding of statistical methods and applied rigour has increased every year. An important part of rigorous empirical research should be the use of valid and reliable measurement instruments that are grounded in a reasonable theoretical base. Reviewing the literature reveals that approximately half of all published entrepreneurship research relies on collecting primary data and again half of this primary data research collects data by utilising surveys (McDonald et al., 2015). That is, a substantial part of entrepreneurship research needs valid and reliable multi-item measurement scales. However, measurement instruments employed in surveys are far too often conceptualised on an ad hoc basis and frequently lack a solid theoretical grounding, thus inhibiting further theory building and replication. The academic discussion of entrepreneurial phenomena therefore fails to tap its full potential. There is consequently a need to develop more reliable and valid scales that can serve the community of entrepreneurship scholars seeking to produce rigorous and relevant research.
机译:创业研究成功的部分原因是其广泛使用经验方法来说明和理解创业现象。在这方面,我们对统计方法和严格要求的理解逐年增加。严格的经验研究的重要部分应该是使用基于合理的理论基础的有效且可靠的测量工具。回顾文献发现,大约所有已发表的企业家精神研究都依赖于收集原始数据,而这个原始数据研究又有一半是通过利用调查来收集数据的(McDonald等,2015)。也就是说,企业家精神研究的很大一部分需要有效和可靠的多项目测量量表。但是,调查中使用的测量工具常常是临时性地概念化的,并且常常缺乏扎实的理论基础,因此阻碍了进一步的理论建立和重复。因此,关于企业家现象的学术讨论未能充分发挥其潜力。因此,有必要开发更可靠和有效的量表,以服务于寻求进行严格而相关的研究的企业家学者社区。

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