Over the last couple of decades, studies using the experience sampling methodology (ESM) have been used with increasing frequency within the management-related sciences as the method allows researchers the opportunity to investigate questions involving ongoing, dynamic, intra-individual processes. Given the longitudinal nature of the methodology and the resulting multi-level data structure, there are sample- and measurement-related issues that make ESM studies different from other methods commonly used in management research. Consequently, ESM studies have demands for reporting sample- and measurement-related information that differ from more commonly used methods. In the current paper, we review the conceptual foundations of sample and measurement issues in ESM studies and report the findings of a survey of the ESM studies to identify current reporting practices. We then offer clear, easy to implement recommendations for reporting sample- and measurement-related aspects of ESM studies. We hope that these recommendations will improve reporting of ESM studies and allow readers the opportunity to more fully and comprehensively evaluate the research presented.

中文翻译：

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在经验抽样研究中报告样本和测量信息的建议

在过去的几十年中，使用经验抽样方法 (ESM) 的研究在管理相关科学中的使用频率越来越高，因为该方法使研究人员有机会调查涉及正在进行的、动态的、个体内部过程的问题。鉴于该方法的纵向性质和由此产生的多层次数据结构，存在与样本和测量相关的问题，使 ESM 研究不同于管理研究中常用的其他方法。因此，ESM 研究需要报告与更常用方法不同的样本和测量相关信息。在目前的论文中，我们回顾了 ESM 研究中样本和测量问题的概念基础，并报告了 ESM 研究调查的结果，以确定当前的报告实践。然后，我们为报告 ESM 研究的样本和测量相关方面提供清晰、易于实施的建议。我们希望这些建议将改进 ESM 研究的报告，并让读者有机会更全面和全面地评估所提出的研究。