Bayesian methods in family business research

被引：17

作者：

Block, Joern H. ^{[1
]}

Miller, Danny ^{[2
,3
]}

Wagner, Dominik ^{[1
]}

机构：

[1] Univ Trier, Univ 15, D-54296 Trier, Germany

[2] HEC Montreal, Montreal, PQ H3T 2A7, Canada

[3] Univ Alberta, Montreal, PQ H3T 2A7, Canada

来源：

JOURNAL OF FAMILY BUSINESS STRATEGY | 2014年 / 5卷 / 01期

关键词：

Bayesian methods; Null hypothesis significance testing; Family business research methods; Regression Models; META-REGRESSION; STATISTICS; INFERENCE; VARIABLES; FIRMS; POWER;

D O I：

10.1016/j.jfbs.2013.12.003

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Bayesian methods constitute an alternative to null hypothesis significance testing (NHST). This article briefly reviews the concept of Bayesian methods, describes their differences from NHST, and discusses the potential of Bayesian methods to advance family business research and practice. We argue that Bayesian methods are well suited to account for the significant heterogeneity that exists in the population of family firms. The article closes with a short guide to using Bayesian methods and reporting their results in the context of research on family businesses. The article's focus is on regression models. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：97 / 104

页数：8

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