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I began this thesis because I was confused about economics. I wondered why there were so many different models. I didn't understand how they fit together. I was also confused by the assumptions being made. For instance, the assumption that humans are rational utility-maximizers did not seem to agree with

I began this thesis because I was confused about economics. I wondered why there were so many different models. I didn't understand how they fit together. I was also confused by the assumptions being made. For instance, the assumption that humans are rational utility-maximizers did not seem to agree with my own experiences. With my director Dr. Edward Schlee's help, my thesis has become an inquiry into the state of economic methodology, both in theory and in practice. The questions that drive this paper are: How do economists choose between theories? What is the purpose of economic theory? What is the role of empirical data in assessing models? What role do assumptions play in theory evaluation, and should assumptions make sense? Part I: Methodology is the theoretical portion of the paper. I summarize the essential arguments of the two main schools of thought in economic methodology, and argue for an updated methodology. In Part II: A case study: The expected utility hypothesis, I examine methodology in practice by assessing a handful of studies that seek to test the expected utility hypothesis. Interestingly, I find that there is a different between what economists say they are doing, and what they actually seem to be doing. Throughout this paper, I restrict my analysis to microeconomic theory, simply because this is the area with which I am more familiar. I intend this paper to be a guide for my fellow students and rising economists, as well as for already practicing economists. I hope it helps the reader better understand methodology and improve her own practice.
ContributorsKang, Dominique (Author) / Schlee, Edward (Thesis director) / Schoellman, Todd (Committee member) / Boerner, Rochus (Committee member) / Barrett, The Honors College (Contributor)
Created2013-05
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Due to the prevalence of digital communication, the importance of digital communication for romantic relationship formation and maintenance, and the associations between online behavior and romantic conflict, it is important to investigate conflict enabled by and conducted through digital communication platforms. Additionally, because of the overrepresentation of self-report measures in

Due to the prevalence of digital communication, the importance of digital communication for romantic relationship formation and maintenance, and the associations between online behavior and romantic conflict, it is important to investigate conflict enabled by and conducted through digital communication platforms. Additionally, because of the overrepresentation of self-report measures in studying online relational behavior, it is not known whether current methods of studying in-person conflict apply to digital conflict. The present study thus aimed to examine 1) the efficacy of participant-uploaded screenshots for observing online relationship experiences, and 2) the applicability of the adapted SPAFF coding system (D-SPAFF) to romantic dyadic digital communication. We found acceptable participant compliance and rich data was acquired using this method. We also found affective behavior in screenshots was related to similar concurrent and prospective relationship outcomes as found in the literature. Finally, there were a few unexpected affective behaviors related to relationship outcomes. Our study supports a nuanced theoretical framework for the investigation of online relationship interactions. Future research should continue to validate this method and investigate the unique affordances and mechanisms of digital interactions.
ContributorsTrimble, Ava (Author) / Mukarram, Maheeyah (Co-author) / Ha, Thao (Thesis director) / Quiroz, Selena (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05