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Neuroscientific information bias in metacomprehension: The effect of brain images on metacomprehension judgment of neuroscience research

Overview of attention for article published in Psychonomic Bulletin & Review, June 2013
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Title
Neuroscientific information bias in metacomprehension: The effect of brain images on metacomprehension judgment of neuroscience research
Published in
Psychonomic Bulletin & Review, June 2013
DOI 10.3758/s13423-013-0457-5
Pubmed ID
Authors

Kenji Ikeda, Shinji Kitagami, Tomoyo Takahashi, Yosuke Hattori, Yuichi Ito

Abstract

In the present study, we investigated how brain images affect metacomprehension judgments of neuroscience research. Participants made a prereading judgment of comprehension of the text topic and then read a text about neuroimaging findings. In Experiment 1, participants read text only or text accompanying brain images. In Experiment 2, participants read text accompanying bar graphs or text accompanying brain images. Then participants were asked to rate their comprehension of the text. Finally, they completed comprehension tests. The results of Experiment 1 showed that the text accompanying brain images was associated with higher metacomprehension judgments than was the text only, whereas the performance of the comprehension test did not differ between each condition. The results of Experiment 2 showed that the text accompanying brain images was associated not only with credibility of the text, but also with higher metacomprehension judgments than was the text accompanying the bar graphs, whereas the performance of the comprehension test did not differ between each condition. The findings suggest that the readers' subjective judgments differ from actual comprehension.

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Mendeley readers

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 22%
Student > Doctoral Student 6 19%
Student > Master 5 16%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Other 7 22%
Unknown 2 6%
Readers by discipline Count As %
Psychology 24 75%
Arts and Humanities 2 6%
Computer Science 1 3%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 2 6%