604
Views
26
CrossRef citations to date
0
Altmetric
RESEARCH REPORTS

Conceptualization and Measurement of Structurational Divergence in the Healthcare Setting

Pages 362-385 | Published online: 01 Oct 2010
 

Abstract

Structurational divergence (SD) is a widespread organizational problem, manifesting as recurrent cycles of unresolved conflict rooted in incompatible meaning structures. Heretofore, the program of research investigating SD has been largely qualitative and descriptive. This study developed and tested a quantitative measurement scale of SD in the nursing context. Candidate scale items were constructed from previous interview data and administered to a sample of 281 nurses. A final scale of 17 items was obtained based on expert screening and both exploratory and confirmatory factor analyses. The scale and its three subcomponents showed strong internal consistency and correlated as expected with several established measures of related concepts.

Acknowledgements

Funding for data collection was received from the George Mason University College of Health & Human Services. Thanks to Carol Filak (PhD, RN) for her assistance with data collection.

Additional information

Notes on contributors

Anne Maydan Nicotera

Anne Maydan Nicotera (PhD), Department of Communication, George Mason University

Margaret M. Mahon

Margaret M. Mahon (PhD), School of Nursing, George Mason University

Xiaoquan Zhao

Xiaoquan Zhao (PhD), Department of Communication, George Mason University

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 192.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.