The GRoLTS-checklist: guidelines for reporting on latent trajectory studies R Van De Schoot, M Sijbrandij, SD Winter, S Depaoli, JK Vermunt Structural Equation Modeling: A Multidisciplinary Journal 24 (3), 451-467, 2017 | 542 | 2017 |
A systematic review of Bayesian articles in psychology: The last 25 years. R Van De Schoot, SD Winter, O Ryan, M Zondervan-Zwijnenburg, ... Psychological Methods 22 (2), 217, 2017 | 416 | 2017 |
The importance of prior sensitivity analysis in Bayesian statistics: demonstrations using an interactive Shiny App S Depaoli, SD Winter, M Visser Frontiers in psychology 11, 608045, 2020 | 109 | 2020 |
Bayesian PTSD-trajectory analysis with informed priors based on a systematic literature search and expert elicitation R van de Schoot, M Sijbrandij, S Depaoli, SD Winter, M Olff, NE Van Loey Multivariate Behavioral Research 53 (2), 267-291, 2018 | 62 | 2018 |
Dangers of the defaults: A tutorial on the impact of default priors when using Bayesian SEM with small samples SC Smid, SD Winter Frontiers in Psychology 11, 611963, 2020 | 46 | 2020 |
Possible Solution to Publication Bias Through Bayesian Statistics, Including Proper Null Hypothesis Testing EA Konijn, R van de Schoot, SD Winter, CJ Ferguson Communication Methods and Measures 9 (4), 280-302, 2015 | 36 | 2015 |
An illustration of Bayesian approximate measurement invariance with longitudinal data and a small sample size SD Winter, S Depaoli International Journal of Behavioral Development 44 (4), 371-382, 2020 | 34 | 2020 |
The performance of the IES-R for Latinos and non-Latinos: Assessing measurement invariance J Tiemensma, S Depaoli, SD Winter, JM Felt, HM Rus, AC Arroyo PloS one 13 (4), e0195229, 2018 | 31 | 2018 |
A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics R van de Schoot, D Veen, L Smeets, SD Winter, S Depaoli Small Sample Size Solutions: A Guide for Applied Researchers and …, 2020 | 26 | 2020 |
Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration S Depaoli, SD Winter, K Lai, K Guerra-Peña Multivariate behavioral research 54 (6), 795-821, 2019 | 23 | 2019 |
Here comes the bad news: doctor robot taking over JF Hoorn, SD Winter International Journal of Social Robotics 10 (4), 519-535, 2018 | 22 | 2018 |
Performance of model fit and selection indices for Bayesian structural equation modeling with missing data SD Winter, S Depaoli Structural Equation Modeling: A Multidisciplinary Journal 29 (4), 531-549, 2022 | 13 | 2022 |
Sensitivity of Bayesian model fit indices to the prior specification of latent growth models SD Winter, S Depaoli Structural Equation Modeling: A Multidisciplinary Journal 29 (5), 667-686, 2022 | 12 | 2022 |
The use of questionable research practices to survive in academia examined with expert elicitation, prior-data conflicts, Bayes factors for replication effects, and the Bayes … R van de Schoot, SD Winter, E Griffioen, S Grimmelikhuijsen, I Arts, ... Frontiers in Psychology 12, 621547, 2021 | 10 | 2021 |
Assessing differences in how the CushingQoL is interpreted across countries: comparing patients from the US and the Netherlands SD Winter, S Depaoli, J Tiemensma Frontiers in Endocrinology 9, 368, 2018 | 10 | 2018 |
Illustrating the value of prior predictive checking for Bayesian structural equation modeling SD Winter, S Depaoli Structural Equation Modeling: A Multidisciplinary Journal 30 (6), 1000-1021, 2023 | 6 | 2023 |
Dealing with imperfect elicitation results R van de Schoot, E Griffioen, SD Winter Expert Judgement in Risk and Decision Analysis, 401-417, 2021 | 4 | 2021 |
Opaque prior distributions in Bayesian latent variable models EC Merkle, O Ariyo, SD Winter, M Garnier-Villarreal arXiv preprint arXiv:2301.08667, 2023 | 3 | 2023 |
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM S Depaoli, SD Winter, H Liu Structural Equation Modeling: A Multidisciplinary Journal 31 (4), 604-625, 2024 | 2 | 2024 |
Good fit is weak evidence of replication: increasing rigor through prior predictive similarity checking W Bonifay, SD Winter, HF Skoblow, AL Watts Assessment, 10731911241234118, 2024 | 2 | 2024 |