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Published on: April 12, 2018
Additive and interactive effects in semantic priming: Isolating lexical and decision processes in the lexical
Melvin J Yap1, David A Balota, Sarah E Tan
1Department of Psychology, National University of Singapore, BlockAS4, #02-07, Singapore 117570. melvin@nus.edu.sg
Lexical decision difficulty impacts semantic priming effects, with stimulus clarity playing a key role. Response time distribution analysis reveals how priming manifests differently for clear versus degraded targets.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Neuroscience
Background:
- The lexical decision task is a fundamental tool for studying word recognition.
- Semantic priming effects demonstrate how related words facilitate faster recognition.
- Understanding the interplay between lexical processing and decision-making is crucial for models of language comprehension.
Purpose of the Study:
- To investigate how manipulating lexical decision difficulty affects semantic priming.
- To differentiate the roles of nonword distracter type and stimulus quality on priming.
- To analyze response time distributions for a more nuanced understanding of processing mechanisms.
Main Methods:
- Two experiments manipulated lexical decision difficulty using transposed letter nonwords and visual target degradation.
- Response time (RT) data were analyzed using ex-Gaussian, quantile, and diffusion models.
- Priming effects were examined in relation to stimulus quality and nonword type.
Main Results:
- Increased lexical decision difficulty slowed target latencies.
- Stimulus quality, not nonword type, moderated semantic priming effects.
- Priming shifted RT distributions for clear targets but also increased the tail for degraded targets.
Conclusions:
- Stimulus quality is a critical factor influencing semantic priming in the lexical decision task.
- Response time distribution analyses provide deeper insights into processing dynamics.
- Findings support an embellished multistage activation model incorporating retrieval and decision processes.
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