Review
Psychology, Multidisciplinary
Andreas Gegenfurtner
Summary: This meta-analytic review aimed to estimate the differences in model fit between bifactor exploratory structural equation modeling (B-ESEM) and other models. By analyzing 158 studies, it was found that B-ESEM model fit was superior to reference models. The results also indicated that model fit is sensitive to sample size, item number, and the number of specific and general factors in a model.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Chihiro Watanabe, Taiji Suzuki
Summary: This study developed a new goodness-of-fit test for latent block models to test whether an observed data matrix fits a given set of row and column cluster numbers, or it consists of more clusters in at least one direction of the row and the column.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2021)
Article
Psychology, Multidisciplinary
Bryant M. Stone
Summary: The paper discusses the role of fit indices in evaluating the fit of structural equation models and potential misuse by researchers. The author highlights two ethical dilemmas that may arise when using fit indices and provides solutions to reduce questionable research practices.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Mathematical
Katharina Groskurth, Matthias Bluemke, Clemens M. Lechner
Summary: To evaluate model fit in confirmatory factor analysis, researchers compare goodness-of-fit indices (GOFs) against fixed cutoff values (e.g., CFI > .950) derived from simulation studies. However, fixed cutoffs for GOFs are only valid for similar scenarios to the simulation and caution should be exercised. This article argues for abandoning fixed cutoffs and reviews alternative strategies for assessing model fit.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Computer Science, Artificial Intelligence
Cedric Beaulac
Summary: Assessing the quality of a fitted model is challenging in unsupervised learning. We propose a new metric based on moments to compare and regularize models. We demonstrate the applications of this metric and discuss future research directions.
Article
Computer Science, Artificial Intelligence
Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Summary: This paper addresses the challenging problem of causal discovery when the variables of interest cannot be directly measured. By utilizing measurement models, latent variables and their causal relations can be recovered from measured data. The paper provides precise identifiability conditions for the linear pure measurement model and demonstrates the recoverable information of the causal structure from observed data. The effectiveness of the proposed approach is validated through experiments on synthetic and real-world data.
Article
Mathematics, Interdisciplinary Applications
Dirk Lubbe
Summary: Fit indices are commonly used for assessing the goodness of fit of latent variable models. Most existing fit indices are based on a noncentrality parameter estimate, which is challenging to interpret due to the complex weighting function involved in its calculation. This study proposes new fit indices that are independent of any specific weighting function and demonstrate consistent estimation of the true value for both metric and categorical variables. The advantages of these new indices in terms of interpretability are discussed and cutoff criteria are considered.
Article
Psychology, Multidisciplinary
Matthew J. Valente, A. R. Georgeson, Oscar Gonzalez
Summary: This paper provides a conceptual and statistical comparison of two-wave mediation models, examining differences in assumptions and model fit using standard measures and newly proposed T-size measures. The use of linear regression modeling and LCS specification in Structural Equation Modeling allows for a more in-depth analysis of mediated effect estimates and model constraints. Overall, the LCS specification highlights implicit assumptions made when fitting two-wave mediation models with regression, and standard model fit indices and T-size measures generally identify the best fitting model in Monte Carlo simulations.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Multidisciplinary
Carmen Ximenez, Javier Revuelta, Raul Castaneda
Summary: This article presents the results of a simulation study on the impact of ignoring non-zero cross-loadings on confirmatory bifactor analysis. The study finds that commonly used SEM fit indices are not sensitive in detecting model misspecifications due to ignoring non-zero cross-loadings. The unbiased SRMR index is recommended as the only fit index sensitive to this misspecification.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Statistics & Probability
Christoph Schultheiss, Peter Buhlmann, Ming Yuan
Summary: We introduce a simple diagnostic test for evaluating the goodness of fit of a linear causal model with independent errors. The method is able to distinguish between covariates that are confounded with the response by latent variables and those that are not. The proposed test is based on comparing higher-order least squares with ordinary least squares, and is valid for high-dimensional settings.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2023)
Article
Mathematics
Yongxia Zhang, Qi Wang, Maozai Tian
Summary: This paper investigates variable selection for a dataset with heavy-tailed distribution and high correlations within blocks of covariates. By introducing a latent factor model and a consistency strategy named Farvsqr, the study successfully addresses the challenges of high-dimensional data and highly correlated covariates.
Article
Statistics & Probability
Adel Javanmard, Mohammad Mehrabi
Summary: This paper discusses the fundamental problem of assessing the goodness-of-fit for a general binary classifier and proposes a novel test method called GRASP. The method is applicable in finite sample settings and is not restricted by the distribution of features. Additionally, an improved method called model-X GRASP is proposed for situations where the joint distribution of the features vector is known, which can achieve better power.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
(2023)
Article
Business
Robert Mai, Thomas Niemand, Sascha Kraus
Summary: Proper measurement of technology knowledge and social change is crucial for managers to advance strategies in technology management, and structural equation modeling is the ideal method to assess the measurement quality of decision variables and understand their relationships. A tailored-fit model evaluation strategy is proposed to utilize the strengths of fit indicators, with a recommendation to use only a few indicators in model evaluation to avoid errors.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Mathematical & Computational Biology
Steffen Nestler, Shelley A. Blozis
Summary: In this study, an extension of the mixed-effects location scale model is introduced, considering the measurement error of observed variables through a latent factor model and allowing different parameters for the autoregressive process and residual variance of the latent factor between individuals. The authors demonstrate how to estimate the parameters using a maximum likelihood approach and compare its performance with a Bayesian approach through a small simulation study. The models are illustrated using real data and potential research questions are suggested in the discussion.
STATISTICS IN MEDICINE
(2023)
Article
Mathematics, Interdisciplinary Applications
Raul Correa Ferraz, Alberto Maydeu-Olivares, Dexin Shi
Summary: Previous research has shown that bootstrapped p-values for the chi-square test of model fit are accurate for small models but not as accurate for small sample sizes. As the number of variables increases, bootstrapped p-values may become too conservative and less accurate. Therefore, they may not be recommended for assessing model fit.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2022)
Article
Nursing
Young Sook Roh, Jung-Won Ahn, Eunyoung Kim, Jina Kim
CLINICAL SIMULATION IN NURSING
(2018)
Article
Nursing
Youn-Jung Son, JiYeon Choi, Jung-Won Ahn
APPLIED NURSING RESEARCH
(2020)
Article
Environmental Sciences
Ji-Hye Lim, Jung-Won Ahn, Youn-Jung Son
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Review
Management
Jung-Won Ahn, Hye-Young Jang, Youn-Jung Son
Summary: This study conducted a qualitative research review on the challenges of handover among critical care nurses, identifying key issues including expectations of perfection, need for partnership, unilateral communication, obstacles to information acquisition, lack of pertinent patient information, need for a structured handover, and interruptions/distractions. The research suggests that handover should be considered an essential part of patient-centered care for ensuring continuity of care.
JOURNAL OF NURSING MANAGEMENT
(2021)
Article
Geriatrics & Gerontology
Hye-Young Jang, Eun-Ok Song, Jung-Won Ahn
Summary: The study developed a tool to assess the partnership between nursing home staff and families and demonstrated acceptable reliability and validity. This tool can be used to evaluate staff and family partnerships within nursing homes.
INTERNATIONAL JOURNAL OF OLDER PEOPLE NURSING
(2022)
Article
Nursing
Sun Joo Jang, Jong-Sook Han, Myoung Hee Bang, Jung-Won Ahn
Summary: This study aimed to evaluate the effects of a sociodrama-based communication enhancement program on mothers of children with neurodevelopmental disorders. The results showed significant improvements in parenting burden, parent-child communication, and parenting competence in the experimental group, suggesting that sociodrama-based programs may be an effective intervention strategy for parents of children with neurodevelopmental disorders.
ASIAN NURSING RESEARCH
(2022)
Article
Multidisciplinary Sciences
Yeunhee Kwak, Hyejin Kim, Jung-Won Ahn
Summary: This study investigated the relationship between Internet usage time and the mental health of Korean adolescents. The results showed that Internet usage time was associated with individual factors such as gender, grade level, type of school, living arrangement, economic status, academic achievement, and experience of school violence. Additionally, Internet usage time was also correlated with subjective health status, stress, feelings of sadness, and suicidal ideation.
Article
Nursing
Jiyoung Kim, Narae Heo, Hyuncheol Kang
Summary: This study aimed to investigate the factors that affect the mortality and clinical severity score (CSS) of male and female patients with COVID-19. Through the analysis of a large dataset, the study found that certain factors differ by sex in influencing release or death, as well as progression to severe CSS.
ASIAN NURSING RESEARCH
(2022)
Article
Nursing
Yeunhee Kwak, Jung-Won Ahn, Yon Hee Seo
Summary: This study examines the influence of AI ethics awareness, attitude toward AI, anxiety, and self-efficacy on nursing students' behavioral intentions to use AI-based healthcare technology. The findings suggest that a positive attitude and higher self-efficacy are important factors in promoting the intention to use AI-based technology.
Article
Education, Scientific Disciplines
Yeunhee Kwak, Yon Hee Seo, Jung -Won Ahn
Summary: This study conducted a path analysis to predict nursing students' intent to use AI-based healthcare technologies. The results showed that positive attitude toward AI and facilitating conditions predicted intent to use, while negative attitude did not. Performance expectancy, self-efficacy, and effort expectancy predicted positive attitude. Facilitating conditions directly predicted intent to use, while social influence did not have a significant effect.
NURSE EDUCATION TODAY
(2022)
Article
Public, Environmental & Occupational Health
Yeunhee Kwak, Hyejin Kim, Jung-Won Ahn
Summary: This study found that the daily Internet usage of high school students is influenced by physical activity and health risk behaviors, such as smoking, alcohol consumption, drug use, and risky sexual behaviors. Therefore, it is necessary to develop intervention programs and provide education to promote increased physical activity and reduce health risk behaviors for proper management of the health and Internet usage of adolescents.
IRANIAN JOURNAL OF PUBLIC HEALTH
(2022)
Article
Computer Science, Interdisciplinary Applications
Young Sook Roh, Sang Suk Kim, Sunah Park, Jung-Won Ahn
CIN-COMPUTERS INFORMATICS NURSING
(2020)
Article
Multidisciplinary Sciences
Jung-Won Ahn, Sun Mi Lee, Yon Hee Seo
Summary: This study aimed to evaluate the characteristics, physiological indices, and health literacy affecting self-care behavior in patients with chronic kidney disease in South Korea. The results showed significant differences in self-care behavior based on age, cohabitation status, employment, smoking status, dialysis, comorbidities, and certain physiological indices. Factors such as not currently working, being a non-smoker, having end-stage kidney disease, and a positive response to health literacy significantly affected self-care behavior.
