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Researcher
Marre Vervloet
- Disciplines:Applied mathematics in specific fields, Statistics and numerical methods, Applied psychology, Biological and physiological psychology, General psychology, Other psychology and cognitive sciences, Psychological methods
Affiliations
- Quantitative Psychology and Individual Differences (Research group)
Member
From1 Oct 2015 → Today - Methodology of Educational Sciences (Research group)
Member
From1 Oct 2010 → 30 Sep 2015
Projects
1 - 2 of 2
- DCovR: A modeling framework for capturing the concurrent and delayed effects of human interactionFrom1 Oct 2017 → 30 Sep 2018Funding: BOF - Other initiatives
- Unraveling and unlocking the assets of principal covariates regressionFrom1 Oct 2010 → 26 Sep 2017Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 8 of 8
- PCovR2: A flexible principal covariates regression approach to parsimoniously handle multiple criterion variables(2021)
Authors: Marre Vervloet, Eva Ceulemans
Pages: 1648 - 1668 - Retrieving relevant factors with exploratory SEM and principal-covariate regression: A comparison(2018)
Authors: Marre Vervloet, Wim Van Den Noortgate, Eva Ceulemans
Pages: 1430 - 1445 - Unraveling and unlocking the assets of principal covariates regression(2017)
Authors: Marre Vervloet, Eva Ceulemans, Wim Van Den Noortgate
Number of pages: 128 - Testing the intervention effect in single-case experiments: A Monte Carlo simulation study(2017)
Authors: Mieke Heyvaert, Mariola Moeyaert, Wim Van Den Noortgate, Marre Vervloet, Maaike Ugille, Patrick Onghena
Pages: 175 - 196 - Model selection in principal covariates regression(2016)
Authors: Marre Vervloet, Katrijn Van Deun, Wim Van Den Noortgate, Eva Ceulemans
Pages: 26 - 33 - PCovR: An R package for principal covariates regression(2015)
Authors: Marre Vervloet, Wim Van Den Noortgate, Eva Ceulemans
Pages: 1 - 14 - PCovR: An R package for principal covariates regression(2015)
Authors: Marre Vervloet, H. A. L. Kiers, Wim Van Den Noortgate, Eva Ceulemans
Pages: 1 - 14 - On the selection of the weighting parameter value in principal covariates regression(2013)
Authors: Marre Vervloet, Katrijn Van Deun, Wim Van Den Noortgate, Eva Ceulemans
Pages: 36 - 43