Data from: Children's visuospatial memory predicts mathematics achievement through early adolescence

Li Y, Geary DC

Date Published: February 17, 2017

DOI: http://dx.doi.org/10.5061/dryad.34m6j

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Data for Children’s Visuospatial Memory Predicts Gains in Mathematics Achievement Through Early Adolescence’ by Yaoran Li and David C. Geary. PLoS ONE
Downloaded 129 times
Description Raw data.Date file names: Race = W (white), B (Black), A (Asian), M (mixed), U (unknown) 05-13 = year of data collection, 2005 to 2013 WS = winter semester FS = fall semester WR = Word Reading NO = Numerical Operations RAN_a = Rapid automatized naming of letters RAN_1 = Rapid automatized naming of numbers SWAN = Strength and Weaknesses of ADHD–symptoms and normal-behavior PL_TS = phonological loop total score VSSP_TS = visuospatial sketch pad total score CE_TS = central executive total score
Download datafile.csv (29.39 Kb)
Download README.docx (14.16 Kb)
Details View File Details

When using this data, please cite the original publication:

Li Y, Geary DC (2017) Children's visuospatial memory predicts mathematics achievement through early adolescence. PLOS ONE 12(2): e0172046. http://dx.doi.org/10.1371/journal.pone.0172046

Additionally, please cite the Dryad data package:

Li Y, Geary DC (2017) Data from: Children's visuospatial memory predicts mathematics achievement through early adolescence. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.34m6j
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: