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Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework
Having previously seen an item helps uncover the item another time, given a perceptual or cognitive cue. Oftentimes, however, it may be difficult to quantify or test the existence and size of a perceptual or cognitive effect, in general, and a priming effect, in particular. This is because to examin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693796/ https://www.ncbi.nlm.nih.gov/pubmed/36438320 http://dx.doi.org/10.3389/fpsyg.2022.724498 |
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author | Chén, Oliver Y. Phan, Huy Cao, Hengyi Qian, Tianchen Nagels, Guy de Vos, Maarten |
author_facet | Chén, Oliver Y. Phan, Huy Cao, Hengyi Qian, Tianchen Nagels, Guy de Vos, Maarten |
author_sort | Chén, Oliver Y. |
collection | PubMed |
description | Having previously seen an item helps uncover the item another time, given a perceptual or cognitive cue. Oftentimes, however, it may be difficult to quantify or test the existence and size of a perceptual or cognitive effect, in general, and a priming effect, in particular. This is because to examine the existence of and quantify the effect, one needs to compare two outcomes: the outcome had one previously seen the item vs. the outcome had one not seen the item. But only one of the two outcomes is observable. Here, we argue that the potential outcomes framework is useful to define, quantify, and test the causal priming effect. To demonstrate its efficacy, we apply the framework to study the priming effect using data from a between-subjects study involving English word identification. In addition, we show that what has been used intuitively by experimentalists to assess the priming effect in the past has a sound mathematical foundation. Finally, we examine the links between the proposed method in studying priming and the multinomial processing tree (MPT) model, and how to extend the method to study experimental paradigms involving exclusion and inclusion instructional conditions. |
format | Online Article Text |
id | pubmed-9693796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96937962022-11-26 Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework Chén, Oliver Y. Phan, Huy Cao, Hengyi Qian, Tianchen Nagels, Guy de Vos, Maarten Front Psychol Psychology Having previously seen an item helps uncover the item another time, given a perceptual or cognitive cue. Oftentimes, however, it may be difficult to quantify or test the existence and size of a perceptual or cognitive effect, in general, and a priming effect, in particular. This is because to examine the existence of and quantify the effect, one needs to compare two outcomes: the outcome had one previously seen the item vs. the outcome had one not seen the item. But only one of the two outcomes is observable. Here, we argue that the potential outcomes framework is useful to define, quantify, and test the causal priming effect. To demonstrate its efficacy, we apply the framework to study the priming effect using data from a between-subjects study involving English word identification. In addition, we show that what has been used intuitively by experimentalists to assess the priming effect in the past has a sound mathematical foundation. Finally, we examine the links between the proposed method in studying priming and the multinomial processing tree (MPT) model, and how to extend the method to study experimental paradigms involving exclusion and inclusion instructional conditions. Frontiers Media S.A. 2022-11-08 /pmc/articles/PMC9693796/ /pubmed/36438320 http://dx.doi.org/10.3389/fpsyg.2022.724498 Text en Copyright © 2022 Chén, Phan, Cao, Qian, Nagels and de Vos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Chén, Oliver Y. Phan, Huy Cao, Hengyi Qian, Tianchen Nagels, Guy de Vos, Maarten Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title | Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title_full | Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title_fullStr | Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title_full_unstemmed | Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title_short | Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
title_sort | probing potential priming: defining, quantifying, and testing the causal priming effect using the potential outcomes framework |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693796/ https://www.ncbi.nlm.nih.gov/pubmed/36438320 http://dx.doi.org/10.3389/fpsyg.2022.724498 |
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