naa a22 4500 510777341 CHVBK 20180411083235.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.3758/s13428-012-0260-7 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0260-7 Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations [Elektronische Daten] [Simon De Deyne, Daniel Navarro, Gert Storms] In this article, we describe the most extensive set of word associations collected to date. The database contains over 12,000 cue words for which more than 70,000 participants generated three responses in a multiple-response free association task. The goal of this study was (1) to create a semantic network that covers a large part of the human lexicon, (2) to investigate the implications of a multiple-response procedure by deriving a weighted directed network, and (3) to show how measures of centrality and relatedness derived from this network predict both lexical access in a lexical decision task and semantic relatedness in similarity judgment tasks. First, our results show that the multiple-response procedure results in a more heterogeneous set of responses, which lead to better predictions of lexical access and semantic relatedness than do single-response procedures. Second, the directed nature of the network leads to a decomposition of centrality that primarily depends on the number of incoming links or in-degree of each node, rather than its set size or number of outgoing links. Both studies indicate that adequate representation formats and sufficiently rich data derived from word associations represent a valuable type of information in both lexical and semantic processing. Psychonomic Society, Inc., 2012 Word associations nationallicence Semantic network nationallicence Lexical decision nationallicence Semantic relatedness nationallicence Lexical centrality nationallicence De Deyne Simon Faculty of Psychology and Educational Sciences, University of Leuven, Tiensestraat 102, 3000, Leuven, Belgium aut Navarro Daniel School of Psychology, University of Adelaide, 5000, Adelaide, Australia aut Storms Gert Faculty of Psychology and Educational Sciences, University of Leuven, Tiensestraat 102, 3000, Leuven, Belgium aut Behavior Research Methods Springer-Verlag 45/2(2013-06-01), 480-498 45:2<480 2013 45 13428 https://doi.org/10.3758/s13428-012-0260-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0260-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- De Deyne Simon Faculty of Psychology and Educational Sciences, University of Leuven, Tiensestraat 102, 3000, Leuven, Belgium aut NATIONALLICENCE 700 1- Navarro Daniel School of Psychology, University of Adelaide, 5000, Adelaide, Australia aut NATIONALLICENCE 700 1- Storms Gert Faculty of Psychology and Educational Sciences, University of Leuven, Tiensestraat 102, 3000, Leuven, Belgium aut NATIONALLICENCE 773 0- Behavior Research Methods Springer-Verlag 45/2(2013-06-01), 480-498 45:2<480 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer