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2018
The MDS is discussed as a profile analysis approach of re-parameterizing the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns rather than factors. It is used to identify major patterns among psychological variables and can serve as the basis for further study of correlates and/or ...
Jinbo He, Xitao Fan
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The MDS is discussed as a profile analysis approach of re-parameterizing the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns rather than factors. It is used to identify major patterns among psychological variables and can serve as the basis for further study of correlates and/or ...
Jinbo He, Xitao Fan
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Latent Profile/Class Analysis Identifying Differentiated Intervention Effects
Nursing Research, 2022Background The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Because of patient heterogeneity, subgroup analysis is often used to identify differential intervention effects.
Qing Yang +5 more
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Three Multivariate Models: Factor Analysis, Latent Structure Analysis, and Latent Profile Analysis
Psychometrika, 1959The factor analysis model and Lazarsfeld's latent structure scheme for analyzing dichotomous attributes are derived to show how the latter model avoids three knotty problems in factor analysis: communality estimation, rotation, and curvilinearity.
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A latent profile analysis of nurses’ moral sensitivity
Nursing Ethics, 2019Background: The three-dimensional model of nurses’ moral sensitivity has typically been studied using a variable-centered rather than a person-centered approach, preventing a more complete understanding of how these forms of moral sensitivity are expressed as a whole.
Na Zhang +3 more
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Advancing Multiple Imputation for Latent Profile Analysis
Multivariate Behavioral Research, 2019The treatment of missing data is problematic when conducting latent profile analysis (LPA) when indicator data are missing at random, conditional on auxiliary variables (AVs).
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Differentiating anxiety profiles in medical students: a latent profile analysis
Psychology, Health & MedicinePrevious studies have confirmed a high prevalence of anxiety among medical students. The present study aimed to identify distinct medical student anxiety profiles to develop targeted interventions. A cross-sectional study was conducted with 735 medical students (346 males and 389 females) recruited voluntarily from mainland China.
Xinfang Ding, Ziyi Zhang
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Student Mental Health Profiles: a Latent Profile Analysis
Student wellbeing and mental health has been seemingly worsening over recent years. While it has remained at the forefront of recent research and developments in higher education, rates of mental health conditions, such as depression, continue to rise.Javadi, Amir-Homayoun, Herdson, Oliver
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Experiences of Elder Mistreatment: A Latent Profile Analysis
Journal of Interpersonal Violence, 2017Using a polyvictimization framework, this study seeks to identify profiles of older adults who are mistreated by their family members. Data were drawn from a survey ( n = 897) on the prevalence of elder mistreatment in rural India. This study involved 187 community-dwelling older adults (aged 61 years and above) with experiences of mistreatment in the
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Profiling students for remediation using latent class analysis
Advances in Health Sciences Education, 2011While clinical exams using SPs are used extensively across the medical schools for summative purposes and high-stakes decisions, the method of identifying students for remediation varies widely and there is a lack of consensus on the best methodological approach.
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