Now that's interesting and important! Moving beyond averages to increase the inferential value of empirical findings in entrepreneurship research
主张创业学者通过重视情境作用并设计能探索样本异质性的实证研究，超越样本平均值，从而理解结果在何时、何地、对谁成立，提升推断价值。
Amid the debate over whether scholars should conduct interesting or important research, we contend that entrepreneurship scholars can achieve both ends by acknowledging the foundational role context plays in our discipline and designing our empirical research in ways that enable us to explore and exploit the heterogeneity of our samples. In turn, we provide a non-exhaustive list of analytical approaches and empirical methods that can enable scholars to look past sample-wide averages and, instead, explore the nuances that exist beneath the surface of those findings. By contextualizing empirical research in these ways, scholars can move beyond these averages in order to better understand not only whether a given result is “true,” but more importantly where, when, and for whom it is or is not true, thereby increasing the inferential value of our findings.