ArticlePsychological methods2017
A comparison of latent class, K-means, and K-median methods for clustering dichotomous data.
Article in Psychological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of latent class analysis in psychology: Examining the gap between guidelines and research practice.Behavior research methods · 2025Pooled it
- To comply or not comply? A latent profile analysis of behaviours and attitudes during the COVID-19 pandemic.PloS one · 2021Pooled it
- Beyond Physical Capacity: Factors Associated With Real-world Walking Activity After Stroke.Archives of physical medicine and rehabilitation · 2021Trial
- Exploring the Comorbidity Mechanism of Internet Addiction, Insomnia, Depression, and Suicidality Among Chinese College Students Through Network Analysis.Alpha psychiatry · 2026Article
- Latent transitions in quality of life and the influencing factors among patients with first-ever ischemic stroke: a prospective longitudinal study.Health and quality of life outcomes · 2026Article
- Association between childhood maltreatment patterns and comorbidity of depression and anxiety in left-behind children: a latent class analysis.BMC psychiatry · 2026Article
- Behavioral and psychological characteristics of adolescents under different Parent-Child relationship patterns: a gender-based perspective.BMC psychology · 2025Article
- CoDing Sequence Typer (CDST): a fast, simple, decentralized and interoperable solution for bacterial genomic typing and clustering.Microbial genomics · 2025Article
- LACE-UP: An ensemble machine-learning method for health subtype classification on multidimensional binary data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Subgroups of cognitive impairments in schizophrenia characterized by executive function and their morphological features: a latent profile analysis study.BMC medicine · 2025Article
- Trajectory patterns and influencing factors of depression due to child bereavement among older adults in China: a 5-year longitudinal study.Frontiers in public health · 2025Article
- Beyond the Myths: Brazilian Consumer Perceptions of Functional Food.Foods (Basel, Switzerland) · 2024Article
- Clustering Methods in Rheumatic and Musculoskeletal Disease Research: An Educational Guide to Best Research Practices.The Journal of rheumatology · 2024Review
- Article
- Fear of cancer recurrence and associated factors in family caregivers of patients with hematologic malignancy receiving chemotherapy: A latent profile analysis.Asia-Pacific journal of oncology nursing · 2024Article
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- Construction of a predictive model for blood transfusion in patients undergoing total hip arthroplasty and identification of clinical heterogeneity.Scientific reports · 2024Article
- Advancing specificity in delirium: The delirium subtyping initiative.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.Health & place · 2023Article
- Article
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3 authors.
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Abstract
The problem of partitioning a collection of objects based on their measurements on a set of dichotomous variables is a well-established problem in psychological research, with applications including clinical diagnosis, educational testing, cognitive categorization, and choice analysis. Latent class analysis and K-means clustering are popular methods for partitioning objects based on dichotomous measures in the psychological literature. The K-median clustering method has recently been touted as a potentially useful tool for psychological data and might be preferable to its close neighbor, K-means, when the variable measures are dichotomous. We conducted simulation-based comparisons of the latent class, K-means, and K-median approaches for partitioning dichotomous data. Although all 3 methods proved capable of recovering cluster structure, K-median clustering yielded the best average performance, followed closely by latent class analysis. We also report results for the 3 methods within the context of an application to transitive reasoning data, in which it was found that the 3 approaches can exhibit profound differences when applied to real data. (PsycINFO Database Record
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