样品(材料)
计量经济学
潜在类模型
潜变量
回归分析
家族企业
定性比较分析
心理学
业务
经济
计算机科学
营销
人工智能
机器学习
色谱法
化学
作者
Laura J. Stanley,Franz W. Kellermanns,Thomas Zellweger
标识
DOI:10.1177/0894486516677426
摘要
We demonstrate how latent profile analysis (LPA) can be applied to generate profiles (i.e., homogenous subgroups) in a sample of family firms. In doing so, we highlight how LPA can provide additional insight into family firm phenomena when used in conjunction with other methodological approaches (i.e., regression). We compare LPA with other techniques (i.e., cluster analysis and qualitative comparative analysis) and show LPA’s superior ability to capture complex patterns of important family firm characteristics. We demonstrate how profiles can be linked to differences in dependent variables, providing family firm scholars with a tool to assess heterogeneity and its consequences among family firms.
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