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<p>This project contains raw data and analysis scripts for the following papers:</p> <p>Hsu, H. J., & Bishop, D. V. M. (2014b). Training understanding of reversible sentences: a study comparing language-impaired children with age-matched and grammar-matched controls. PeerJ, 2, e656, doi:10.7717/peerj.656. </p> <p>Bishop, D. V. M., & Hsu, H. J. (2015). The declarative system in children with specific language impairment: A comparison of meaningful and meaningless auditory-visual paired associate learning. BMC Psychology, in press. </p> <p>Hsu, H. J., & Bishop, D. V. M. (2014). Sequence- specific procedural learning deficits in children with specific language impairment. Developmental Science, 17(3), 352-365. doi:10.1111/desc.12125</p> <p>Data and scripts are covered by a CC attribution-non commercial share alike license: <a href="https://creativecommons.org/licenses/by-nc-sa/4.0" rel="nofollow">https://creativecommons.org/licenses/by-nc-sa/4.0</a> Attribution is requested in re-use.</p> <p>Main data for 2014b and 2015 papers are in SPSS format with analysis scripts Data in .csv format can also be accessed via link from OSF to Figshare. Please cite Figshare DOI if you reuse this dataset.</p> <p>Median RTs from Green Monster SRT task added 23rd April 2018 in response to request for data.</p> <p>Excel files have summary data from training sessions, and raw data from training files (xls files)</p> <p>Matlab files for processing the raw training data to give summary totals and median RTs</p> <p>R file for generating figures</p> <p>R file for analysing data using Wilcox methods </p> <p>The training program used for this study was written in C++ Builder 4. We have experienced some glitches in making this software available for re-use on different platforms. Please follow instructions carefully if you wish to download this program. The authors cannot provide technical support.</p> <p>23rd April 2018 - added R markdown file used to convert raw data to medians in Green Monster task.</p> <p>7th September 2018: added a markdown file and pdf output showing alternative method of looking at rebound effect using regression discontinuity is more sensitive : this is reanalysis of the SRT data from Hsu and Bishop 2014</p>
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