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Dangers of the defaults: A tutorial on the impact of default priors when using Bayesian SEM with small samples
When Bayesian estimation is used to analyze Structural Equation Models (SEMs), prior
distributions need to be specified for all parameters in the model. Many popular software …
distributions need to be specified for all parameters in the model. Many popular software …
The importance of prior sensitivity analysis in Bayesian statistics: demonstrations using an interactive Shiny App
The current paper highlights a new, interactive Shiny App that can be used to aid in
understanding and teaching the important task of conducting a prior sensitivity analysis …
understanding and teaching the important task of conducting a prior sensitivity analysis …
Extraversion, social interactions, and well-being during the COVID-19 pandemic: Did extraverts really suffer more than introverts?
A large body of research suggests that extraversion is positively related to well-being.
However, it is unclear whether this association can be explained by social participation (ie …
However, it is unclear whether this association can be explained by social participation (ie …
A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item‐level non‐response
In low‐stakes assessments, test performance has few or no consequences for examinees
themselves, so that examinees may not be fully engaged when answering the items. Instead …
themselves, so that examinees may not be fully engaged when answering the items. Instead …
Self-regulatory strategy use, efficacy, and strategy-situation-fit in self-control conflicts of initiation, persistence, and inhibition
Self-control is the ability to (1) initiate, and (2) persist in boring, difficult or disliked activity,
and to (3) inhibit impulses to act. We explored the self-regulatory strategies that people use …
and to (3) inhibit impulses to act. We explored the self-regulatory strategies that people use …
Bayesian hierarchical response time modelling—A tutorial
Response time modelling is develo** rapidly in the field of psychometrics, and its use is
growing in psychology. In most applications, component models for response times are …
growing in psychology. In most applications, component models for response times are …
Continuous-time modeling of the bidirectional relationship between incidental affect and physical activity
Background Previous research suggests that there is a bidirectional relationship between
incidental affect (ie, how people feel in day-to-day life) and physical activity behavior …
incidental affect (ie, how people feel in day-to-day life) and physical activity behavior …
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.
Various theoretical accounts suggest that within-person effects relating to everyday
experiences (assessed, eg, via experience sampling studies or daily diary studies) are a …
experiences (assessed, eg, via experience sampling studies or daily diary studies) are a …
A Bayesian many-facet Rasch model with Markov modeling for rater severity drift
M Uto - Behavior research methods, 2023 - Springer
Fair performance assessment requires consideration of the effects of rater severity on
scoring. The many-facet Rasch model (MFRM), an item response theory model that …
scoring. The many-facet Rasch model (MFRM), an item response theory model that …
Multilevel analysis of mediation, moderation, and nonlinear effects in small samples, using expected a posteriori estimates of factor scores
In the analysis of hierarchical data, multilevel structural equation modeling (multilevel SEM)
has become the standard in the social sciences. To estimate these models, maximum …
has become the standard in the social sciences. To estimate these models, maximum …