ArticleEuropean journal of psychological assessment : official organ of the European Association of Psychological Assessment2020
Bayesian Multivariate Mixed-Effects Location Scale Modeling of Longitudinal Relations Among Affective Traits, States, and Physical Activity.
Article in European journal of psychological assessment : official organ of the European Association of Psychological Assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Within-Subject Association of Physical Behavior and Affective Well-Being in Everyday Life: A Systematic Literature Review.Sports medicine (Auckland, N.Z.) · 2024Pooled it
- Dynamic interplay between food addiction, psychological and behavioral factors, and weight-related measures: A longitudinal network analysis in developing youth.Journal of behavioral addictions · 2026Article
- Fast Estimation and Valid Statistical Inference for Mixed-Effect Location-Scale Models Using Variational Inference.Statistics in medicine · 2026Article
- Modeling intraindividual means and variances from ecological momentary assessment data: comparing standard computational formulas to mixed-effects location-scale model estimates.Journal of behavioral medicine · 2026Article
- How am I doing? It varies: mixed-effects location scale modeling to examine intra-individual variability in health-related research.Journal of behavioral medicine · 2026Article
- The construct validity of daily cognitive variability.Psychology and aging · 2026Article
- Ecological momentary assessments of cognitive performance are more variable in breast cancer survivors.Communications psychology · 2025Article
- Character strength traits, states, and emotional well-being: A daily diary study.Journal of personality · 2025Article
- Relationship of Individual Athlete External Load, Session Rating of Perceived Exertion, and Athlete Playing Status Across a Collegiate Women's Basketball Season.Sports (Basel, Switzerland) · 2024Article
- Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data.Biometrics · 2024Article
- Examining time-varying dynamics of co-occurring depressed mood and anxiety.Journal of affective disorders · 2024Article
- Demographic factors associated with within-individual variability of lung function for adults with cystic fibrosis: A UK registry study.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024Article
- Dynamic structural equation models with binary and ordinal outcomes in Mplus.Behavior research methods · 2024Article
- Emotional (in)stability: Neuroticism is associated with increased variability in negative emotion after all.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Putting the individual into reliability: Bayesian testing of homogeneous within-person variance in hierarchical models.Behavior research methods · 2022Article
- A Diffusion Model Account of Cognitive Variability in Healthy Aging and Mild Cognitive Impairment.Experimental aging researchArticle
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4 authors.
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Abstract
Intensive longitudinal studies and experience sampling methods are becoming more common in psychology. While they provide a unique opportunity to ask novel questions about within-person processes relating to personality, there is a lack of methods specifically built to characterize the interplay between traits and states. We thus introduce a Bayesian multivariate mixed-effects location scale model (M-MELSM). The formulation can simultaneously model both personality traits (the location) and states (the scale) for multivariate data common to personality research. Variables can be included to predict either (or both) the traits and states, in addition to estimating random effects therein. This provides correlations between location and scale random effects, both across and within each outcome, which allows for characterizing relations between any number of personality traits and the corresponding states. We take a
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.