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Individual differences in working memory capacity partly arise from variability in attention control, a process influenced by negative emotional content. Thus, individual differences in working memory capacity should be predictive of differences in the ability to regulate attention in emotional contexts. To address this hypothesis, a complex-span working memory task

Individual differences in working memory capacity partly arise from variability in attention control, a process influenced by negative emotional content. Thus, individual differences in working memory capacity should be predictive of differences in the ability to regulate attention in emotional contexts. To address this hypothesis, a complex-span working memory task (symmetry span) was modified so that negative arousing images or neutral images subtended the background during the encoding phase. Across three experiments, negative arousing images impaired working memory encoding relative to neutral images, resulting in impoverished symmetry span scores. Additionally, in Experiment 3, both negative and arousing images captured attention and led to increased hit rates in a subsequent recognition task. Contrary to the primary hypothesis, individual differences in working memory capacity derived from three complex span tasks failed to moderate the effect of negative arousing images on working memory encoding across two large scale studies. Implications for theories of working memory and attention control in emotional contexts will be discussed.
ContributorsWingert, Kimberly Marie (Author) / Brewer, Gene A. (Thesis advisor) / Amazeen, Eric (Committee member) / Killeen, Peter (Committee member) / Goldinger, Stephen (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Psychological theories often reduce descriptions of people’s emotional experiences to a small number of underlying dimensions that capture most of the variation in their responses. These underlying dimensions are typically uncovered by comparing the self-reported emotions of many individuals at one specific time point, to infer a single underlying structure

Psychological theories often reduce descriptions of people’s emotional experiences to a small number of underlying dimensions that capture most of the variation in their responses. These underlying dimensions are typically uncovered by comparing the self-reported emotions of many individuals at one specific time point, to infer a single underlying structure of emotion for all people. However, theoretical work suggests that underlying dimensions uncovered in this way may not hold when modeling how people change over time. Individuals may differ not just in their typical score on a given dimension of emotion, but in what dimensions best characterize their patterns of emotional experience over time. In this study, participants described two emotional events per day for 35 days, and analyses compared individualized structures of emotion to those generated from many people at one point in time. Analyses using R-technique factor analysis, which compares many people at one time point, most often uncovered a two-factor solution corresponding to positivity and negativity dimensions - a solution well-established in the literature. However, analyses using P-technique factor analysis, which compares many emotional events for one person, uncovered a broader diversity of underlying dimensions. Individuals needed anywhere from one to five factors to best capture their self-reported emotions. Further, dimensions specifically related to romantic relationships were much more common when examining the experiences of individuals over time. This suggests that external factors, such as pursuing or being in a romantic relationship, might lead to a qualitative shift in how emotions are experienced. Research attempting to characterize emotion dynamics, including those attempting to help people shift or regulate their emotions, cannot assume that typical two dimensional structures of emotional experience apply to all people. Instead we must account for how individuals describe their own emotional experiences.
ContributorsDanvers, Alexander F (Author) / Shiota, Michelle N. (Thesis advisor) / Kenrick, Douglas T. (Committee member) / Neuberg, Steven L. (Committee member) / Amazeen, Polemnia G (Committee member) / Arizona State University (Publisher)
Created2017
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Description
Working memory capacity and fluid intelligence are important predictors of performance in educational settings. Thus, understanding the processes underlying the relation between working memory capacity and fluid intelligence is important. Three large scale individual differences experiments were conducted to determine the mechanisms underlying the relation between working memory capacity and

Working memory capacity and fluid intelligence are important predictors of performance in educational settings. Thus, understanding the processes underlying the relation between working memory capacity and fluid intelligence is important. Three large scale individual differences experiments were conducted to determine the mechanisms underlying the relation between working memory capacity and fluid intelligence. Experiments 1 and 2 were designed to assess whether individual differences in strategic behavior contribute to the variance shared between working memory capacity and fluid intelligence. In Experiment 3, competing theories for describing the underlying processes (cognitive vs. strategy) were evaluated in a comprehensive examination of potential underlying mechanisms. These data help inform existing theories about the mechanisms underlying the relation between WMC and gF. However, these data also indicate that the current theoretical model of the shared variance between WMC and gF would need to be revised to account for the data in Experiment 3. Possible sources of misfit are considered in the discussion along with a consideration of the theoretical implications of observing those relations in the Experiment 3 data.
ContributorsWingert, Kimberly Marie (Author) / Brewer, Gene A. (Thesis advisor) / McNamara, Danielle (Thesis advisor) / McClure, Samuel (Committee member) / Redick, Thomas (Committee member) / Arizona State University (Publisher)
Created2018