• Users Online: 62
  • Print this page
  • Email this page
RESEARCH SERIES NO. 26
Year : 2022  |  Volume : 23  |  Issue : 2  |  Page : 127-133

Latent profile analysis – An emerging advanced statistical approach to subgroup identification


1 PhD Scholar, Department of Biobehavioral Nursing Science, University of Illinois, Department of Biobehavioral Nursing Science; Professor, College of Nursing, Christian Medical College, Vellore, Tamil Nadu, India
2 Professor, Biobehavioral Sciences, University of Illinois, Chicago, Illinois, USA

Correspondence Address:
Dr. Asha Mathew
College of Nursing, Christian Medical College, Vellore, Tamil Nadu

Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijcn.ijcn_24_22

Rights and Permissions

Latent profile analysis (LPA) is emerging as an advanced statistical clustering approach. It is a type of mixture modeling that uses a person-centred approach to classify individuals from a heterogeneous population into homogenous subgroups. LPA identifies the distinct patterns of responses to a set of observed continuous variables in a sample of individuals, and these response patterns are known as latent profiles. This article presents an overview of LPA with key assumptions, sample size considerations, advantages, and limitations. Using an example of LPA application in research, the article also presents the process of conducting LPA and its implications for nursing research. LPA has valuable potential in nursing and could provide new insights into a particular research concept and offer more nuanced information regarding patterns of responses. Further, researchers could examine the impact of targeted assessment and interventions, identify predictors of subgroup membership and explore differences in outcomes across the profiles.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed244    
    Printed0    
    Emailed0    
    PDF Downloaded10    
    Comments [Add]    

Recommend this journal