ArticleAdvances in methods and practices in psychological science2019
A Practical Guide to Variable Selection in Structural Equation Models with Regularized MIMIC Models.
Article in Advances in methods and practices in psychological science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Development and validation of the tiredness identification index: a combined scale for the assessment of fatigue and sleepiness.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Artificial intelligence to evaluate the impact of urban green and blue spaces on chlorophyll-a concentrations.Environmental science and pollution research international · 2025Article
- Article
- The roles of cognitive and motivational imagery on flow: a multiple indicators multiple causes approach.Frontiers in psychology · 2025Article
- Abiotic Factors Modulating Metabolite Composition in Brown Algae (Phaeophyceae): Ecological Impacts and Opportunities for Bioprospecting of Bioactive Compounds.Marine drugs · 2024Review
- Gray and White Matter Metrics Demonstrate Distinct and Complementary Prediction of Differences in Cognitive Performance in Children: Findings from ABCD (The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Affordability, negative experiences, perceived racism, and health care system distrust among black American women aged 45 and over.AIMS public health · 2024Article
- Bayesian factor selection in a hybrid approach to confirmatory factor analysis.Journal of applied statistics · 2024Article
- Grey and white matter metrics demonstrate distinct and complementary prediction of differences in cognitive performance in children: Findings from ABCD (N= 11 876).bioRxiv : the preprint server for biology · 2023Article
- The positive-negative-competence (PNC) model of psychological responses to representations of robots.Nature human behaviour · 2023Article
- The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods.Developmental cognitive neuroscience · 2023Article
- Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology.Psychometrika · 2023Review
- Predictors of Psychological Strain and Allostatic Load in Teachers: Examining the Long-Term Effects of Biopsychosocial Risk and Protective Factors Using a LASSO Regression Approach.International journal of environmental research and public health · 2023Article
- Listening to and Believing Derogatory and Threatening Voices.Schizophrenia bulletin · 2023Article
- Psychometric properties of the Curiosity and Exploration Inventory-II among Kenyan adolescents.Frontiers in sociology · 2023Article
- Fifty years of structural equation modeling: A history of generalization, unification, and diffusion.Social science research · 2022Article
- Pathways to primate hip function.Royal Society open science · 2022Article
- Assessment of Neuromuscular and Psychological Function in People with Recurrent Neck Pain during a Period of Remission: Cross-Sectional and Longitudinal Analyses.Journal of clinical medicine · 2022Article
- An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method.Journal of applied statistics · 2022Article
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3 authors.
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Abstract
Methodological innovations have allowed researchers to consider increasingly sophisticated statistical models that are better in line with the complexities of real world behavioral data. However, despite these powerful new analytic approaches, sample sizes may not always be sufficiently large to deal with the increase in model complexity. This poses a difficult modeling scenario that entails large models with a comparably limited number of observations given the number of parameters. We here describe a particular strategy to overcoming this challenge, called
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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.