Research in crises: Data collection suggestions and practices

Xialing Lin, Zhan Xu, Adam Rainer, Robert Rice, Patric R. Spence, Kenneth A. Lachlan

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

Methodological and data collection practices in crisis contexts are highly unstructured, and it is often difficult to achieve consensus on best practices in this regard. Crises are, by definition, unexpected, non-routine occurrences that create conditions with the potential to render traditional research procedures difficult if not impossible. While data collected in more naturalistic settings may have stronger ecological validity, data collected in more controlled environments may provide greater confidence in accounting for extraneous influence. Given the costs and benefits associated with different types of data collection during crises, the current chapter outlines previous work in experimental, survey, content analytic and case study research focusing on crises and other extreme events. The chapter outlines strengths and limitations of various methods along with directions for future research. It concludes by offering suggestions for best practices in multi-method, programmatic research programs that attempt to control for multiple sources of influence.

Original languageEnglish (US)
Title of host publicationData Collection
Subtitle of host publicationMethods, Ethical Issues and Future Directions
PublisherNova Science Publishers, Inc.
Pages49-64
Number of pages16
ISBN (Electronic)9781536101072
ISBN (Print)9781536100891
StatePublished - Jan 1 2017
Externally publishedYes

Keywords

  • Best practices
  • Crisis
  • Data collection
  • Technology

ASJC Scopus subject areas

  • General Social Sciences

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