Literature DB >> 11911382

Using hierarchical cluster analysis in nursing research.

Jason W Beckstead1.   

Abstract

This article is a pedagogical piece on hierarchical cluster analysis, a method for investigating the structure underlying data. Such methods are useful for finding similar groups of cases in data sets when it is not known a priori how many groups are present. The article is laid out asfollows: First, a brief history and overview of the methods is presented; second, an illustrative example with a small hypothetical data set is used to clarify fundamental concepts; third, hierarchical cluster analysis is applied to a data set from the author's own program of research to illustrate one way in which the methods may be employed in nursing research; fourth, the limitations of the methods are discussed; and finally, a list of suggested readings, at varying levels of detail. are provided for the interested researcher.

Mesh:

Year:  2002        PMID: 11911382     DOI: 10.1177/01939450222045923

Source DB:  PubMed          Journal:  West J Nurs Res        ISSN: 0193-9459            Impact factor:   1.967


  8 in total

1.  The metrics of glycaemic control in critical care.

Authors:  Iain M J Mackenzie; Tony Whitehouse; Peter G Nightingale
Journal:  Intensive Care Med       Date:  2011-01-06       Impact factor: 17.440

2.  Prediction of similarities among rheumatic diseases.

Authors:  Pinar Yildirim; Cinar Ceken; Reza Hassanpour; Mehmet Resit Tolun
Journal:  J Med Syst       Date:  2010-11-03       Impact factor: 4.460

3.  Cluster Analysis in Nursing Research: An Introduction, Historical Perspective, and Future Directions.

Authors:  Heather Dunn; Laurie Quinn; Susan J Corbridge; Kamal Eldeirawi; Mary Kapella; Eileen G Collins
Journal:  West J Nurs Res       Date:  2017-05-16       Impact factor: 1.967

4.  Dose-Response Relationship of a Blended In-Person and Online Family-Based Childhood Obesity Management Program: Secondary Analysis of a Behavior Intervention.

Authors:  Sam Liu; Nicholas Smith; Kayla Nuss; Megan Perdew; Dimas Adiputranto; Patti-Jean Naylor
Journal:  JMIR Pediatr Parent       Date:  2022-07-05

5.  Which frail older patients use online health communities and why? A mixed methods process evaluation of use of the Health and Welfare portal.

Authors:  Peter Makai; Marieke Perry; Sarah H M Robben; Henk Schers; Maud Heinen; Marcel G M Olde Rikkert; René J F Melis
Journal:  J Med Internet Res       Date:  2014-12-17       Impact factor: 5.428

6.  A comparison of hierarchical cluster analysis and league table rankings as methods for analysis and presentation of district health system performance data in Uganda.

Authors:  Christine K Tashobya; Dominique Dubourg; Freddie Ssengooba; Niko Speybroeck; Jean Macq; Bart Criel
Journal:  Health Policy Plan       Date:  2015-05-28       Impact factor: 3.344

7.  Exploring the technological acceptance of a mobile learning tool used in the teaching of an indigenous language.

Authors:  Santiago Criollo-C; Mayron Lema; Mario Salvador Gonzalez; Angel Jaramillo-Alcázar; Andrea Guerrero-Arias; Sergio Luján-Mora
Journal:  PeerJ Comput Sci       Date:  2021-06-03

8.  Polysubstance use patterns and novel synthetics: A cluster analysis from three U.S. cities.

Authors:  Luther Elliott; Christopher Keith Haddock; Stephanie Campos; Ellen Benoit
Journal:  PLoS One       Date:  2019-12-03       Impact factor: 3.240

  8 in total

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