Results 11 to 20 of about 68,993 (274)
Bayesian SEM for Specification Search Problems in Testing Factorial Invariance
Multivariate Behavioral Research, 2017 Specification search problems refer to two important but under-addressed issues in testing for factorial invariance: how to select proper reference indicators and how to locate specific non-invariant parameters. In this study, we propose a two-step procedure to solve these issues.
Dexin Shi +4 more
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The SEM Reliability Paradox in a Bayesian Framework
Structural Equation Modeling: A Multidisciplinary Journal, 2023 Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality ...
Timothy R. Konold, Elizabeth A. Sanders
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Bayesian SEM with Small Samples: Precautions and Guidelines [PDF]
, 2023 Sometimes it can be challenging to collect enough data. Think of naturally small populations, such as people with rare diseases. Or hard to access target groups, such as people with addiction problems or undocumented migrants. However, all statistical methods require a certain amount of data to perform well.
Sanne Christina Smid
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Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models [PDF]
Journal of IntelligenceIn psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit
Selina Weiss +2 more
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Marginal and conditional posterior predictive p-values in Bayesian SEM [PDF]
, 2021 The posterior predictive p-value (ppp-value) is currently the primary measure of fit for Bayesian SEM. It is a measure of discrepancy between observed data and a posited model, comparing an observed likelihood ratio test (LRT) statistic to the posterior distribution of LRT statistics under a fitted model.
Ellen Fitzsimmons
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ShareSEM: Example and Template R Scripts for SEM, Bayesian, and More
, 2019 The ShareSEM project is a simple depository of R scripts for running structural equation models and Bayesian modelling in R. The scripts are designed such that, if measurement items are named consistently, models can be ran with no extra scripting.
Daniel John Phipps
+8 more sources
A comparison between structural equation modelling (SEM) and Bayesian SEM approaches on in-store behaviour [PDF]
Industrial Management & Data Systems, 2018 Purpose The purpose of this paper is to examine the effects of atmospherics and affective state on shoppers’ in-store behaviour using the two approaches in structural equation modelling (SEM), i.e. Frequentist and Bayesian approaches. Shoppers’ affective state was tested for its mediating effect on in-store shopping behaviour.
Ong, Fon Sim +4 more
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The time has come: Toward Bayesian SEM estimation in tourism research [PDF]
Tourism Management, 2017 Abstract While the Bayesian SEM approach is now receiving a strong attention in the literature, tourism studies still heavily rely on the covariance-based approach for SEM estimation. In a recent special issue dedicated to the topic, Zyphur and Oswald (2013) used the term “Bayesian revolution” to describe the rapid growth of the Bayesian approach ...
A. George Assaf +2 more
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DO CHILDHOOD MEMORIES INFLUENCE THE THERAPEUTIC RELATIONSHIP? AN EMPIRICAL BAYESIAN SEM APPROACH
PSYCHIATRIA DANUBINAThis study aims to explore the interplay of these concepts in a sample patients diagnosed with schizophrenia and related psychotic disorders. Hence, the potentially mediating role of countertransference in the relationship between recalled parenting styles, childhood trauma and therapeutic working alliance was examined.
Jürgen Fuchshuber +3 more
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Sequential Bayesian SEM for Task Technology Fit
international journal of advanced research in computer scienceThe Task Technology Fit (TTF) model is a key framework in information systems research that examines the relationship between user task needs and technological capabilities. Structural Equation Modeling (SEM) and Bayesian Structural Equation Modeling (BSEM) are effective tools for analyzing the TTF model.
Rabeah Samimi
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