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<p>Many have advocated for the use of archival data (or secondary data) in the organizational sciences as a means of increasing contribution, interdisciplinary reach, generalizability, and ease of research while maintaining high rigor. Although numerous papers outline the benefits and limitations of archival data use, there remains a gap of “how-to” knowledge that helps researchers harness archival data strengths and mitigate weaknesses. The purpose of this paper is to guide interested readers in using quantitative archival data sets for micro-organizational research. We take a three-pronged approach to this aim by (1) synthesizing information from previous reviews, (2) analyzing quantitative and qualitative concerns regarding archival data from editorial board members, and (3) conducting a systematic review of archival research practices published in seven top journals (2015–2023). We synthesize information to derive five-step how-to guidance for those looking to conduct research with micro-level quantitative archival data sets. We also provide a checklist for authors and reviewers to use when reporting research that uses archival data sets.</p>

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Micro-Level Quantitative Archival Data Sets: A Review and Development of Empirically Grounded Recommendations

  • 期刊论文

  • 发表日期：

    2026年3月3日

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  • Kimberly A. French,
  • Rebecca Storey,
  • Drake Van Egdom,
  • Christiane Spitzmüller

摘要

Many have advocated for the use of archival data (or secondary data) in the organizational sciences as a means of increasing contribution, interdisciplinary reach, generalizability, and ease of research while maintaining high rigor. Although numerous papers outline the benefits and limitations of archival data use, there remains a gap of “how-to” knowledge that helps researchers harness archival data strengths and mitigate weaknesses. The purpose of this paper is to guide interested readers in using quantitative archival data sets for micro-organizational research. We take a three-pronged approach to this aim by (1) synthesizing information from previous reviews, (2) analyzing quantitative and qualitative concerns regarding archival data from editorial board members, and (3) conducting a systematic review of archival research practices published in seven top journals (2015–2023). We synthesize information to derive five-step how-to guidance for those looking to conduct research with micro-level quantitative archival data sets. We also provide a checklist for authors and reviewers to use when reporting research that uses archival data sets.