Time Dependence in the Cox Proportional Hazard Model as a Theory Development Opportunity: A Step-by-Step Guide

IF 8.9 2区 管理学 Q1 MANAGEMENT Organizational Research Methods Pub Date : 2023-10-11 DOI:10.1177/10944281231205027
Hyun-Soo Woo, Jisun Kim, Albert A. Cannella
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Abstract

The Cox proportional hazard model has often been used for survival analysis in organizational research. The Cox model needs to satisfy one critical assumption—time independence—that the effects of independent variables are constant over survival time (also known as the proportional hazard assumption). However, organizational research often encounters time dependence in the Cox model. Organizational studies have traditionally seemed to view time dependence as an empirical nuisance, but we highlight that it is also a theory-development opportunity. Indeed, from our review of AMJ and SMJ papers published in a recent 10-year period, we found that researchers rarely considered time dependence as a theory-development opportunity, and worse, many of them did not test for (or report tests for) time dependence. The purpose of our study is to change this pattern. To this end, we provide a step-by-step guide to facilitate testing for time dependence and using time dependence as a theory development opportunity. We also demonstrate our step-by-step guide with an empirical example.
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作为理论发展机会的Cox比例风险模型中的时间依赖性:一步一步的指南
在组织研究中,Cox比例风险模型常用于生存分析。Cox模型需要满足一个关键的假设——时间独立性——即自变量的影响在生存时间内是恒定的(也称为比例风险假设)。然而,在Cox模型中,组织研究经常遇到时间依赖问题。组织研究传统上似乎将时间依赖性视为经验上的麻烦,但我们强调,它也是一个理论发展的机会。事实上,从我们对近10年来发表的AMJ和SMJ论文的回顾中,我们发现研究人员很少将时间依赖性视为理论发展的机会,更糟糕的是,他们中的许多人没有测试(或报告测试)时间依赖性。我们研究的目的就是要改变这种模式。为此,我们提供了一个循序渐进的指导,以促进时间依赖性的测试,并将时间依赖性作为理论发展的机会。我们还通过一个经验示例演示我们的逐步指南。
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来源期刊
CiteScore
23.20
自引率
3.20%
发文量
17
期刊介绍: Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.
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