ArticleHealth care management science2018
An in-depth discussion and illustration of partial least squares structural equation modeling in health care.
Article in Health care management science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- An exploration of mediating mechanisms influencing willingness to pay for corporate social responsibility.Scientific reports · 2025Article
- Impact of an artificial intelligence-driven operational management system on operational efficiency in health care organization in Saudi Arabia: a mediating role of staff attitude.Frontiers in public health · 2025Article
- Leverage machine learning to identify key measures in hospital operations management: a retrospective study to explore feasibility and performance of four common algorithms.BMC medical informatics and decision making · 2024Article
- Environmental and health values, beliefs, norms and compatibility on intention to adopt hydroponic farming among unemployed youth.Scientific reports · 2024Article
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- Relationship chains of subhealth physical examination indicators: a cross-sectional study using the PLS-SEM approach.Scientific reports · 2023Article
- Article
- Adaptation of families of adult patients with brain tumor: Partial least squares structural equation modeling.PloS one · 2023Article
- Pediatric Residency Training amid the COVID-19 Pandemic: Exploring the Impact of Supervision and Clinical Practice Guidelines on Clinical and Financial Outcomes.Computational and mathematical methods in medicine · 2022Article
- Individuals' adoption of smart technologies for preventive health care: a structural equation modeling approach.Health care management science · 2020Article
- Comparing causal techniques for rainfall variability analysis using causality algorithms in Iran.Heliyon · 2018Article
- Development and validation of an instrument designed to measure factors influencing physician prescribing decisions.Pharmacy practiceArticle
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Authors and funding
1 author.
Funding
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Abstract
Partial least squares structural equation modeling (PLS-SEM) has become more popular across many disciplines including health care. However, articles in health care often fail to discuss the choice of PLS-SEM and robustness testing is not undertaken. This article presents the steps to be followed in a thorough PLS-SEM analysis, and includes a conceptual comparison of PLS-SEM with the more traditional covariance-based structural equation modeling (CB-SEM) to enable health care researchers and policy makers make appropriate choices. PLS-SEM allows for critical exploratory research to lay the groundwork for follow-up studies using methods with stricter assumptions. The PLS-SEM analysis is illustrated in the context of residential aged care networks combining low-level and high-level care. Based on the illustrative setting, low-level care does not make a significant contribution to the overall quality of care in residential aged care networks. The article provides key references from outside the health care literature that are often overlooked by health care articles. Choosing between PLS-SEM and CB-SEM should be based on data characteristics, sample size, the types and numbers of latent constructs modelled, and the nature of the underlying theory (exploratory versus advanced). PLS-SEM can become an indispensable tool for managers, policy makers and regulators in the health care sector.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.