Historiometry in Organizational Science: Renewed Attention for an Established Research Method

Matthew P. Crayne, Samuel Todd Hunter

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Historiometric analysis (HMA), an organized set of content analytic techniques, allows researchers to convert historical information into numeric data that are appropriate for complex statistical analyses and modeling. The HMA method has been present in the social sciences for more than a century, yet is largely absent from the management and organizational sciences literatures. In this article, we make the case for increased attention to HMA in organizational research, and describe research scenarios for which the techniques prescribed by HMA are particularly well-suited. We also provide a comprehensive guide for conducting historiometric analysis including practical guidelines, procedural instructions, and analysis of potential obstacles to the research process.

Original languageEnglish (US)
Pages (from-to)6-29
Number of pages24
JournalOrganizational Research Methods
Volume21
Issue number1
DOIs
StatePublished - Jan 1 2018

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Social sciences
Research methods
Scenarios
Modeling
Process research
Organizational research

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Strategy and Management
  • Management of Technology and Innovation

Cite this

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Historiometry in Organizational Science : Renewed Attention for an Established Research Method. / Crayne, Matthew P.; Hunter, Samuel Todd.

In: Organizational Research Methods, Vol. 21, No. 1, 01.01.2018, p. 6-29.

Research output: Contribution to journalArticle

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