Date of Award
January 2018
Degree Type
Open Access Thesis
Document Type
Master Thesis
Degree Name
Master of Science (MS)
Department
Psychology
First Advisor
D. Alexander Varakin
Department Affiliation
Psychology
Second Advisor
Hung-Tao Michael Chen
Department Affiliation
Psychology
Third Advisor
Adam L. Lawson
Department Affiliation
Psychology
Abstract
Previous research has examined visual-statistical learning at the individual level but have used measurements which are not sensitive enough to detect differences at the individual level. This study investigates temporal visual-statistical learning but uses a recently modified task designed to be more sensitive to individual performance. This study also incorporated an indirect measure of learning in the form of a rapid serial visual presentation paradigm (RSVP), a cover task, and binary confidence judgments, to assess how aware participants were of the statistical structure. Although there was strong evidence of participants learning the statistical structure at the group level, there was little evidence suggesting participants learned the statistical structure under the more rigorous criteria used to assess individual performance. Furthermore, participants that learned the statistical regularities at the individual level exhibited explicit, rather than implicit, learning of the structure.
Copyright
Copyright 2018 Derek McClellan
Recommended Citation
McClellan, Derek, "Assessing the Implicitness of Visual Statistical Learning at the Individual Level" (2018). Online Theses and Dissertations. 575.
https://encompass.eku.edu/etd/575
