Visualization of Multidimensional Data in Nursing Science.

Published

Journal Article

Nursing scientists have long been interested in complex, context-dependent questions addressing individual- and population-level challenges in health and illness. These critical questions require multilevel data (e.g., genetic, physiologic, biologic, behavioral, affective, and social). Advances in data-gathering methods have resulted in the collection of large sets of complex, multifaceted, and often non-comparable data. Scientific visualization is a powerful methodological tool for facilitating understanding of these multidimensional data sets. Our purpose is to demonstrate the utility of scientific visualization as a method for identifying associations, patterns, and trends in multidimensional data as exemplified in two studies. We describe a brief history of visual analysis, processes involved in scientific visualization, and opportunities and challenges in the use of visualization methods. Scientific visualization can play a crucial role in helping nurse scientists make sense of the structure and underlying patterns in their data to answer vital questions in the field.

Full Text

Duke Authors

Cited Authors

  • Docherty, SL; Vorderstrasse, A; Brandon, D; Johnson, C

Published Date

  • January 2017

Published In

Volume / Issue

  • 39 / 1

Start / End Page

  • 112 - 126

PubMed ID

  • 27756850

Pubmed Central ID

  • 27756850

Electronic International Standard Serial Number (EISSN)

  • 1552-8456

International Standard Serial Number (ISSN)

  • 0193-9459

Digital Object Identifier (DOI)

  • 10.1177/0193945916672448

Language

  • eng