What applying growth mixture modeling can tell us about predictors of number line estimation

Dataset

DOI

Supplementary materials [Research data] to: DeVries, J. M., Kuhn, J.-T., Gebhardt, M. (2020). What applying growth mixture modeling can tell us about predictors of number line estimation. Journal of Numerical Cognition, 6(1), 66-82. https://doi.org/10.5964/jnc.v6i1.212

Identifier
DOI	https://doi.org/10.23668/psycharchives.2526
Metadata Access	https://api.datacite.org/dois/10.23668/psycharchives.2526

Provenance
Creator	DeVries, Jeffrey M.; Kuhn, Jörg-Tobias; Gebhardt, Markus
Publisher	ZPID (Leibniz Institute for Psychology Information)
Contributor	Leibniz Institut Für Psychologie (ZPID)
Publication Year	2019
Rights	CC-BY-SA 4.0; openAccess; Creative Commons Attribution Share Alike 4.0 International
OpenAccess	true

Representation
Language	English
Resource Type	Dataset
Discipline	Social Sciences