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Behavior Research Methods|July 15, 2024
Enabling analytical power calculations for multilevel models with autocorrelated errors through deriving and approximating the precision matrixGinette Lafit, Richard Artner, Eva Ceulemans
The British Journal of Mathematical and Statistical Psychology|February 26, 2026
Shedding some light on the relationship between measurement error and statistical power in multilevel models applied to intensive longitudinal designsGinette Lafit, Sigert Ariens, Richard Artner
Behavior Research Methods|May 8, 2024
A new sample-size planning approach for person-specific VAR(1) studies: Predictive accuracy analysisJordan Revol, Ginette Lafit, Eva Ceulemans
Psychometrika|November 1, 2021
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) ModelsGinette Lafit, Kristof Meers, Eva Ceulemans
The British Journal of Mathematical and Statistical Psychology|March 4, 2026
Unravelling the small sample bias in AR(1) models: The pros and cons of available bias correction methodsZhiwei Dou, Sigert Ariens, Eva Ceulemans, et al.
Psychological Assessment|October 23, 2025
Cost-effective experience sampling method studies: Integrating budget constraints into sample size decisionsJordan Revol, Ginette Lafit, Olivia Kirtley, et al.
Scientific Reports|November 30, 2019
A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical ModelsGinette Lafit, Francis Tuerlinckx, Inez Myin-Germeys, et al.
Cognition & Emotion|November 5, 2024
Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM dataMarieke J Schreuder, Sigert Ariens, Ginette Lafit, et al.
Psychological Methods|May 12, 2025
Episode-contingent experience-sampling designs for accurate estimates of autoregressive dynamicsJordan Revol, Sigert Ariens, Ginette Lafit, et al.
Assessment|November 14, 2024
The Effect of Different Construct Operationalizations, Study Duration, and Preprocessing Choices on Power-Based Sample Size Recommendations in Intensive Longitudinal ResearchGinette Lafit, Jordan Revol, Leonie Cloos, et al.
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