This ROTARU et al_DATASET_ReadMe.txt file was generated on [20171107] by [Marta Ponari]


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GENERAL INFORMATION
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This dataset is deposited by the authors of manuscript “Learning Abstract Words and Concepts: Insights from Real and Simulated Developmental Language Disorder” submitted to Philosophical Transactions of the Royal Society B in November 2017. This dataset includes the data reported in ‘Part I: Are Abstract Words More Impaired than Concrete Words in Developmental Language Disorder (DLD)’ of the manuscript, and in Supplementary materials.


1. Title of Dataset: 

ROTARU et al_DATASET.xslx


2. Content of Dataset:

Performance of DLD and matched TD children at Definitions and Lexical Decision tasks


3. Authors:

Armand Rotaru(a), Marta Ponari(b), Alessandro Lenci(d), Courtenay Frazier Norbury(c), Gabriella Vigliocco(a)


4. Authors information:

(a) Institute for Multimodal Communication, Psychology and Language Sciences, University College London, 26 Bedford Way, London WC1H 0AP, UK.
(b) School of Psychology, University of Kent, UK.
(c) Language and Cognition, Psychology and Language Sciences, University College London
(d) Computational Linguistics Laboratory, Department of Philology, Literature and Linguistics, University of Pisa, Italy.

  

5. Information about funding sources that supported the collection of the data:

This research was supported by a grant from Nuffield Foundation (EDU/40477) to GV and CFN


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DATA & FILE OVERVIEW
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1. List of worksheets
   A. Worksheet name:    Def_DLDvsTD_AGE matched    
      Short description:     Average Definition scores for abstract and concrete words from 18 DLD and 18 AGE-matched TD controls    


        
   B. Worksheet name:      LD_DLDvsTD_AGE matched  
      Short description:        Average Lexical decision accuracy for abstract and concrete words from 17 DLD and 17 AGE-matched TD controls  


        
   C. Worksheet name:      Def_DLDvsTD_BPVS matched  
      Short description:    Average Definition scores for abstract and concrete words from 17 DLD and 17 Vocabulary-matched TD controls


   D. Worksheet name:        LD_DLDvsTD_BPVS matched
      Short description: Average Lexical decision accuracy for abstract and concrete words from 15 DLD and 15 AGE-matched TD controls 



   
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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 

Materials: 36 abstract and 36 concrete word, selected from a pool of 3,505 words for which normative data on a range of lexical variables could be obtained (Kuperman, Stadthagen-Gonzalez & Brysbaert, 2012; Coltheart, 1981; Warriner, Kuperman & Brysbaert, 2013; Balota et al., 2007). Of the 72 words, 12 abstract and 12 concrete words were shared between the two tasks; 24 (12 abstract and 12 concrete) were used for the definitions task only, and the remaining 24 were used for the auditory lexical decision task only. Additionally, for the lexical decision task, forty-eight pronounceable non-words were created by changing one phoneme from 48 words matched to the experimental words on length, AoA, valence and concreteness. 


2. Methods for processing the data: 
Scoring of definitions: Scoring used a 0 to 4 scale. Four points were awarded if an answer showed complete semantic understanding of the word; 3 points if an answer showed a good understanding of the word (e.g., one or more features of the concept); 2 points if the answer provided correct but generic information that doesn't help to identify the element in an unequivocal way (e.g., giraffe = animal; anger = feeling); 1 point if the answer was not wrong, but poor in content (e.g., evening = is when we dine); 0 points if the answer was wrong; no answer was given; or the concept was repeated (e.g. photo = to take a photo).