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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The ability to regulate emotions, attention, and behavior develops early in life and impacts future academic success, social competency, behavioral problems, and psychopathology. An impairment in regulation is known as dysregulation. Past research shows that children of mothers with postpartum depression are more likely to show impairment in regulatory abilities.

The ability to regulate emotions, attention, and behavior develops early in life and impacts future academic success, social competency, behavioral problems, and psychopathology. An impairment in regulation is known as dysregulation. Past research shows that children of mothers with postpartum depression are more likely to show impairment in regulatory abilities. There is an established link in the literature between family support and maternal depression, which in turn can impact child behavior. However, further research is needed to explore the impact of family support on early childhood dysregulation in the context of maternal depression. Using a sample of 322 Mexican-American, mother-child dyads, two models were examined. Model one hypothesized family support would buffer the effects of maternal depression on child dysregulation at 24 months. Model 2 hypothesized that family support is related to child dysregulation through its effect on maternal depression. Results showed that increased family support was related to more child dysregulation when there were high levels of maternal depression. There was no evidence to support the hypothesis that maternal depression mediated the relationship between family support and child dysregulation.
ContributorsRodrigues, Samantha Jean (Author) / Luecken, Linda (Thesis director) / Benitez, Viridiana (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
Hand-coding systems of measuring facial expressions were developed to study and analyze human emotions, but they are time-intensive and thus seldom used. As technology has advanced, new computer software programs, such as Affectiva, were developed to code facial expressions automatically using artificial intelligence and machine learning. Since this technology is

Hand-coding systems of measuring facial expressions were developed to study and analyze human emotions, but they are time-intensive and thus seldom used. As technology has advanced, new computer software programs, such as Affectiva, were developed to code facial expressions automatically using artificial intelligence and machine learning. Since this technology is still new, Affectiva and its validity remain understudied, and no psychological research has been conducted to compare Affectiva computer coding and hand coding of children’s emotions. The purpose of this study was to compare hand and computer coding of children’s expressions of emotion during a videotaped parent-child interaction. The study answered the following questions: 1) Do hand and computer coding agree?; and 2) Are hand and computer coding in higher agreement for some emotions than others? The sample included 25 pairs of twins from the Arizona Twin Project. Facial expressions were coded from videotape by a trained and reliable human coder and using the software Affectiva. The results showed that hand and computer coded emotion were in agreement for positive, but not negative emotions. Changing the context of the interaction to elicit more negative emotion, and using the same indicators of each emotion in computer and hand coding are suggested to improve the comparison of computer and hand coding.
ContributorsKwok, Connie (Author) / Lemery-Chalfant, Kathryn (Thesis director) / Davis, Mary (Committee member) / Miadich, Samantha (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05