Browsing by Subject "HDP"

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Leveraging victimhood : how politicians turn persecution into support
(2021-12-02) Guiler, Kimberly Gouz; Brinks, Daniel M., 1961-; Lust, Ellen; Weyland, Kurt; Albertson, Bethany
Victimhood–defined as the perception of having been unjustly persecuted–can be artfully leveraged by strategic politicians to amplify their support. Yet, existing scholarship fails to empirically link victimhood to electoral success or to delineate the conditions under which it ‘works’ as a strategy. In this dissertation, I develop an original theory of how politicians translate persecution into popular support. I argue that victimhood is an effective strategy when politicians tap into widespread grievances and convince voters they are best positioned to remedy them. I develop and test the theory using in-depth interviews with politicians and publics in Turkey, historical case studies, as well as three original survey experiments. In the first empirical chapter, I examine interviews and an original survey experiment to demonstrate that political victimhood confers an electoral advantage on the victim. It shows that politicians can leverage political victimhood to broaden their base of support. The second empirical chapter draws on case studies of the Islamist Justice and Development Party (Adalet ve Kalkınma Partisi, AKP) and the Kurdish-led Peoples’ Democratic Party (Halkların Demokratik Partisi, HDP) and a survey experiment to introduce the concept of dueling victimhood and two unique victimhood frames–exclusionary and inclusive. It demonstrates how politicians can distinguish themselves in environments where competing claims of victimhood are deployed simultaneously. A final empirical chapter presents evidence from an original survey experiment in the immediate aftermath of the 2016 attempted coup in Turkey. It further exemplifies how incumbent politicians with substantial resources and power can leverage moments of national crisis to frame themselves as victims, link their suffering to that of the nation, and consolidate their support.
Manual and automatic analysis of patients values and preferences using Seton HCAHPS surveys
(2018-05-03) Shovkun, Mariia; Fleischmann, Kenneth R.
Understanding the values and preferences of patients is a key to patient-centered care. This study aims to identify these values and preferences by analyzing the data provided by The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). The data is presented as a free-form survey of patients of a variety of hospitals in the United States. The survey was conducted via telephone and concluded with free-form comments that provide a unique way to understand positive and negative sides of health care services. We use topic modeling to automatically identify the crucial aspects of patient-centered care as well as obtain the most high- and low-rated traits of the healthcare system. In particular, we use Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) to identify the extent to which the topics correspond to values and preferences. In this study we present (1) an approach to manual and automatic evaluation of patients values and preferences and (2) a list of the aspects of the modern healthcare system that are crucial to its patients. This list can be used by hospitals in order to improve the quality of services they provide. Our findings have important implications for patient satisfaction, patient-provider relationships, and, ultimately, health outcomes.