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Latent profile analysis of depression among empty nesters in China.
Journal of Affective Disorders, 2023OBJECTIVES The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with ...
Chen Zheng, Huijun Zhang
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Family Business Review, 2016
We demonstrate how latent profile analysis (LPA) can be applied to generate profiles (i.e., homogenous subgroups) in a sample of family firms. In doing so, we highlight how LPA can provide additional insight into family firm phenomena when used in conjunction with other methodological approaches (i.e., regression). We compare LPA with other techniques
Stanley, Laura +2 more
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We demonstrate how latent profile analysis (LPA) can be applied to generate profiles (i.e., homogenous subgroups) in a sample of family firms. In doing so, we highlight how LPA can provide additional insight into family firm phenomena when used in conjunction with other methodological approaches (i.e., regression). We compare LPA with other techniques
Stanley, Laura +2 more
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Eating styles profiles in Chilean women: A latent Profile analysis
Appetite, 2021The aims of this study were to identify profiles of women based on their levels of emotional, external and restraint eating, and to determine differences in these eating styles profiles based on nutritional status, sociodemographic characteristics, stress, social support, and satisfaction with the body image.
Berta Schnettler +11 more
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Latent profile analysis – An emerging advanced statistical approach to subgroup identification
Indian Journal of Continuing Nursing Education, 2022Latent 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.
Asha Mathew, A. Doorenbos
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Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles
Educational and Psychological Measurement, 2021Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous indicators that represent different dimensions. It is a common practice to measure each dimension using items, create composite or factor scores for each dimension, and use these scores as indicators of profiles in LPA.
Yan Wang, Eunsook Kim, Zhiyao Yi
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Language Teaching Research, 2022
There is an increasing recognition that effective deployment of self-regulated learning (SRL) strategies is essential for the development of second/foreign language learners’ abilities to accomplish learning goals.
Jing Chen, L. Zhang, Xiaotong Chen
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There is an increasing recognition that effective deployment of self-regulated learning (SRL) strategies is essential for the development of second/foreign language learners’ abilities to accomplish learning goals.
Jing Chen, L. Zhang, Xiaotong Chen
semanticscholar +1 more source
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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International journal of human computer interactions
This study explores the engagement, self-efficacy, and anxiety of Chinese EFL university students using Large Language Models (LLMs). A questionnaire assessed five dimensions: behavior engagement, cognitive engagement, emotional engagement, self-efficacy,
Qikai Wang, Yang Gao, Xiaochen Wang
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This study explores the engagement, self-efficacy, and anxiety of Chinese EFL university students using Large Language Models (LLMs). A questionnaire assessed five dimensions: behavior engagement, cognitive engagement, emotional engagement, self-efficacy,
Qikai Wang, Yang Gao, Xiaochen Wang
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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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Behavioral Science
Artificial Intelligence (AI) technology, particularly generative AI, has positively impacted education by enhancing mathematics instruction with personalized learning experiences and improved data analysis.
Tommy Tanu Wijaya +4 more
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Artificial Intelligence (AI) technology, particularly generative AI, has positively impacted education by enhancing mathematics instruction with personalized learning experiences and improved data analysis.
Tommy Tanu Wijaya +4 more
semanticscholar +1 more source