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portada The Effects of Semantic Priming on the Detection of Words: A Comparison of Different Types of Second-Level Cooccurrences (en Inglés)
Formato
Libro Físico
Editorial
Idioma
Inglés
N° páginas
32
Encuadernación
Tapa Blanda
Dimensiones
21.0 x 14.8 x 0.2 cm
Peso
0.05 kg.
ISBN13
9783346153890

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

Celine Tatus (Autor) · Grin Verlag · Tapa Blanda

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

Libro Físico

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Reseña del libro "The Effects of Semantic Priming on the Detection of Words: A Comparison of Different Types of Second-Level Cooccurrences (en Inglés)"

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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