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Autor(en): 
  • Celine Tatus
  • The Effects of Semantic Priming on the Detection of Words: A Comparison of Different Types of Second-Level Cooccurrences 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2020  
    Genre:  Psychologie / Pädagogik 
    ISBN:  9783346153890 
    EAN-Code: 
    9783346153890 
    Verlag:  Grin Verlag 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 210 mm / B 148 mm / D 3 mm 
    Gewicht:  62 gr 
    Seiten:  32 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Seminar paper from the year 2019 in the subject Psychology - Cognition, grade: 1,3, University of Wuppertal, language: English, abstract: In order to retrieve information more efficiently and quickly, our central nervous system makes use of implicit preactivation of associative neural networks. In this study, 78 participants were instructed to identify a sequence of word pairs consisting of either German words, nonwords or pseudowords within a lexical decision task. The procedure was carried out under three different conditions: a) no associations within a word pair, b) connection through general second-level cooccurrences, and c) connection through lemmatized second-level cooccurrences. The analysis of variance revealed highly significant differences in reaction time and error rate between lemmatized second-level cooccurrence compared to general second-level cooccurrences. Both, error rate and reaction time, were lower for lemmatized second-level cooccurrences. Stimuli consisting of words with second-level association had a positive effect on the reaction time and error rate. This could be proven due to a stimulus onset asynchrony of 50ms, avoiding semantical competition that could cause inhibitory effects on the reaction time. Linear regression also revealed that lemmatized second-level cooccurrences had a greater influence on the reaction time up to the target and the error rate compared to general second-level cooccurrences. This information could be used to improve models that explain the process of word recognition by adding the influence of the lemmatized second-level cooccurrence.

      



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