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Validation of the Language ENvironment Analysis (LENA) system for Dutch

Published online by Cambridge University Press:  27 October 2020

Eva BRUYNEEL*
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Ellen DEMURIE
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Sofie BOTERBERG
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Petra WARREYN
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Herbert ROEYERS
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
*
*Corresponding author: Eva Bruyneel, Henri Dunantlaan 2, 9000 Gent, Belgium. E-mail: eva.bruyneel@ugent.be

Abstract

The validity of the Language ENvironment Analysis (LENA) System was evaluated for Dutch. 216 5-min samples (six samples per age per child) were selected from daylong recordings at 5, 10 and 14 months of age of native Dutch-speaking younger siblings of children with autism spectrum disorder (N = 6) and of typically developing children (N = 6). Two native Dutch-speaking coders counted the amount of adult words (AWC), child vocalisations (CVC) and conversational turns (CT). Consequently, correlations between LENA and human estimates were explored. Correlations were high for AWC at all ages (r = .73 to .81). Regarding CVC, estimates were moderately correlated at 5 months (r = .57) but the correlation decreased at 10 (r = .37) and 14 months (r = .14). Correlations for CT were low at all ages (r = .19 to .28). Lastly, correlations were not influenced by the risk status of the children.

Type
Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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