This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Description
It is a well-established finding in memory research that spacing or distributing information, as opposed to blocking all the information together, results in an enhanced memory of the learned material. Recently, researchers have decided to investigate if this spacing effect is also beneficial in category learning. In a set of

It is a well-established finding in memory research that spacing or distributing information, as opposed to blocking all the information together, results in an enhanced memory of the learned material. Recently, researchers have decided to investigate if this spacing effect is also beneficial in category learning. In a set of experiments, Carvalho & Goldstone (2013), demonstrated that a blocked presentation showed an advantage during learning, but that ultimately, the distributed presentation yielded better performance during a post-learning transfer test. However, we have identified a major methodological issue in this study that we believe contaminates the results in a way that leads to an inflation and misrepresentation of learning levels. The present study aimed to correct this issue and re-examine whether a blocked or distributed presentation enhances the learning and subsequent generalization of categories. We also introduced two shaping variables, category size and distortion level at transfer, in addition to the mode of presentation (blocked versus distributed). Results showed no significant differences of mode of presentation at either the learning or transfer phases, thus supporting our concern about the previous study. Additional findings showed benefits in learning categories with a greater category size, as well as higher classification accuracy of novel stimuli at lower-distortion levels.
ContributorsJacoby, Victoria Leigh (Author) / Homa, Donald (Thesis director) / Brewer, Gene (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
Prospective memory is defined as remembering to carry out specified actions in the future. Research has suggested that prospective memory retrieval is reliant on multiple cognitive processes to function, and the ways in which these different processes are used is dependent on a variety of variables relating to the prospective

Prospective memory is defined as remembering to carry out specified actions in the future. Research has suggested that prospective memory retrieval is reliant on multiple cognitive processes to function, and the ways in which these different processes are used is dependent on a variety of variables relating to the prospective memory task at hand. The current study focuses on the strength of the association between the prospective
memory cue and the prospective memory intention. Based on literature suggesting that aspects of prospective memory are reliant on executive control functioning, the current study examined the possibility that executive control depletion would affect prospective memory ability on subsequent tasks. Results showed that depletion of executive control resources, measured objectively, did not impair prospective memory in either a low or
high cue-association condition. However, participants‟ subjective assessment of their own fatigue correlated significantly with their subsequent prospective memory performance, regardless of association condition. The results of the study indicate that depletion studies that fail to account for both objective and subjective measures suffer from an unclear interpretation of effects, and that recognition of perceived expectancies
of cognitive resource limitation can assist in improving prospective memory ability.
ContributorsCook, Carson (Author) / Brewer, Gene (Thesis director) / Presson, Clark (Committee member) / Homa, Donald (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
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Description
A category is a set of entities associated by specific characteristics (features). These features can have different relations between one another, including correlations and causal connections. The purpose of this study was to examine how the relations between features would affect the inference of unknown features of new entities from

A category is a set of entities associated by specific characteristics (features). These features can have different relations between one another, including correlations and causal connections. The purpose of this study was to examine how the relations between features would affect the inference of unknown features of new entities from a given set of features. Categories and their relations were learned in a Learning Phase, whereas features were inferred in Transfer and Selection Phases. Correct inference of feature was enhanced by correlation between the features given and the features inferred. It is less clear whether causal connections further enhanced correct inference of features over and above the effect of the correlation. Future research of this topic may benefit from utilizing more difficult tasks, repeating instructions, or manipulating the participants' understanding of the relation in ways other than administration of instructions.
ContributorsDoty, Andrew Emerson (Author) / Homa, Donald (Thesis director) / Presson, Clark (Committee member) / Goldinger, Stephen (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Department of Psychology (Contributor)
Created2013-05
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Description
Understanding categories and the way in which individuals classify and distinguish between these categories is vital to a number of cognitive functions. The present study introduced a new approach to dimensional identification by using identifiable properties rather than of ill-defined patterns. Although replication of studies that utilize well-defined features is

Understanding categories and the way in which individuals classify and distinguish between these categories is vital to a number of cognitive functions. The present study introduced a new approach to dimensional identification by using identifiable properties rather than of ill-defined patterns. Although replication of studies that utilize well-defined features is necessary, the results of the study could potentially indicate some interesting findings regarding learning.
ContributorsShropshire, Jessica Lee (Author) / Homa, Donald (Thesis director) / Presson, Clark (Committee member) / Brewer, Gene (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / Department of Psychology (Contributor)
Created2013-05