The Appearance and the Reality of Quid Pro Quo Corruption: An Empirical Investigation

The Supreme Court says that campaign finance regulations are unconstitutional unless they target quid pro quo corruption or its appearance. To test those appearances, we fielded two studies. First, in a highly realistic simulation, three grand juries deliberated on charges that a campaign spender bribed a Congressperson. Second, 1271 representative online respondents considered whether to convict, with five variables manipulated randomly. In both studies, jurors found quid pro quo corruption for behaviors they believed to be common. This research suggests that Supreme Court decisions were wrongly decided and that Congress and the states have greater authority to regulate campaign finance. Prosecutions for bribery raise serious problems for the First Amendment, due process, and separation of powers. Safe harbors may be a solution

Mobilizing for the Cause: Grievance Evaluations in Social Movements

The role of grievances in drawing public concern and activist support is a surprisingly understudied topic in modern social movement literature. This research is the first to parse grievances into core components to understand whether some grievances are more successful than others in evoking mobilizing, affective and cognitive reactions that can ultimately benefit social movements. I find that not all grievances are created equal when it comes to concern, support and interest in activism, and that the content of grievances can be studied in systematic ways to identify the types of grievances likely to be more powerful injustice events. This dissertation bridges social psychology and social movements by applying concepts from Affect Control Theory (such as evaluation ratings and deflection) to grievance evaluations. To understand the differential effects of grievances, I break grievances into three basic building blocks—a Perpetrator (Actor), the act itself (Behavior), and the victim (Object). I then use measures of cultural perceptions of the goodness or badness of behaviors and identities to investigate how people react to different configurations of good or bad perpetrators, behavior and victims in injustice events. I posit that two mechanisms—concern about the wellbeing of others and desire for consistency in meanings about the world—drive reactions to the goodness or badness of elements in a grievance. I test hypotheses using an experimental design, specifically a vignette study. I find strong support, across outcomes, that bad behavior, particularly when directed toward good victims, constitutes a form of grievance that promotes strong mobilizing, affective and cognitive reactions. I also find that the perpetrator matters for many outcomes, but that the effect of perpetrator is weaker than the effect of behavior and its target, tends to be insignificant for measures specific to behavioral activism, and largely disappears in cases of bad behavior toward good victims. In general, bad perpetrators produce higher levels of concern and emotion than do good perpetrators. The results also show that while concerns about the wellbeing of others dominate grievance evaluations, expectations about how the world should be (and deflection from those expectations) are useful for understanding reactions to perpetrators and to injustice events involving good behavior. The conclusions from this dissertation contribute to a number of social movement arenas, including participation, movement outcomes, framing and emotions. Further, it has the real world implications of suggesting how well particular social issues might fare in attracting public concern and activist attention. This provides insights into both the types of movements more likely to be successful as well as the types of social problems less likely to draw public attention, increasing the chances that such problems persist

Mobilizing for the cause: Grievance evaluations in social movements

The role of grievances in drawing public concern and activist support is a surprisingly understudied topic in modern social movement literature. This research is the first to parse grievances into core components to understand whether some grievances are more successful than others in evoking mobilizing, affective and cognitive reactions that can ultimately benefit social movements. I find that not all grievances are created equal when it comes to concern, support and interest in activism, and that the content of grievances can be studied in systematic ways to identify the types of grievances likely to be more powerful injustice events. This dissertation bridges social psychology and social movements by applying concepts from Affect Control Theory (such as evaluation ratings and deflection) to grievance evaluations. To understand the differential effects of grievances, I break grievances into three basic building blocks—a Perpetrator (Actor), the act itself (Behavior), and the victim (Object). I then use measures of cultural perceptions of the goodness or badness of behaviors and identities to investigate how people react to different configurations of good or bad perpetrators, behavior and victims in injustice events. I posit that two mechanisms—concern about the wellbeing of others and desire for consistency in meanings about the world—drive reactions to the goodness or badness of elements in a grievance. I test hypotheses using an experimental design, specifically a vignette study. I find strong support, across outcomes, that bad behavior, particularly when directed toward good victims, constitutes a form of grievance that promotes strong mobilizing, affective and cognitive reactions. I also find that the perpetrator matters for many outcomes, but that the effect of perpetrator is weaker than the effect of behavior and its target, tends to be insignificant for measures specific to behavioral activism, and largely disappears in cases of bad behavior toward good victims. In general, bad perpetrators produce higher levels of concern and emotion than do good perpetrators. The results also show that while concerns about the wellbeing of others dominate grievance evaluations, expectations about how the world should be (and deflection from those expectations) are useful for understanding reactions to perpetrators and to injustice events involving good behavior. The conclusions from this dissertation contribute to a number of social movement arenas, including participation, movement outcomes, framing and emotions. Further, it has the real world implications of suggesting how well particular social issues might fare in attracting public concern and activist attention. This provides insights into both the types of movements more likely to be successful as well as the types of social problems less likely to draw public attention, increasing the chances that such problems persist

Diverse patients' attitudes towards Artificial Intelligence (AI) in diagnosis.

Artificial intelligence (AI) has the potential to improve diagnostic accuracy. Yet people are often reluctant to trust automated systems, and some patient populations may be particularly distrusting. We sought to determine how diverse patient populations feel about the use of AI diagnostic tools, and whether framing and informing the choice affects uptake. To construct and pretest our materials, we conducted structured interviews with a diverse set of actual patients. We then conducted a pre-registered (osf.io/9y26x), randomized, blinded survey experiment in factorial design. A survey firm provided n = 2675 responses, oversampling minoritized populations. Clinical vignettes were randomly manipulated in eight variables with two levels each: disease severity (leukemia versus sleep apnea), whether AI is proven more accurate than human specialists, whether the AI clinic is personalized to the patient through listening and/or tailoring, whether the AI clinic avoids racial and/or financial biases, whether the Primary Care Physician (PCP) promises to explain and incorporate the advice, and whether the PCP nudges the patient towards AI as the established, recommended, and easy choice. Our main outcome measure was selection of AI clinic or human physician specialist clinic (binary, "AI uptake"). We found that with weighting representative to the U.S. population, respondents were almost evenly split (52.9% chose human doctor and 47.1% chose AI clinic). In unweighted experimental contrasts of respondents who met pre-registered criteria for engagement, a PCP's explanation that AI has proven superior accuracy increased uptake (OR = 1.48, CI 1.24-1.77, p < .001), as did a PCP's nudge towards AI as the established choice (OR = 1.25, CI: 1.05-1.50, p = .013), as did reassurance that the AI clinic had trained counselors to listen to the patient's unique perspectives (OR = 1.27, CI: 1.07-1.52, p = .008). Disease severity (leukemia versus sleep apnea) and other manipulations did not affect AI uptake significantly. Compared to White respondents, Black respondents selected AI less often (OR = .73, CI: .55-.96, p = .023) and Native Americans selected it more often (OR: 1.37, CI: 1.01-1.87, p = .041). Older respondents were less likely to choose AI (OR: .99, CI: .987-.999, p = .03), as were those who identified as politically conservative (OR: .65, CI: .52-.81, p < .001) or viewed religion as important (OR: .64, CI: .52-.77, p < .001). For each unit increase in education, the odds are 1.10 greater for selecting an AI provider (OR: 1.10, CI: 1.03-1.18, p = .004). While many patients appear resistant to the use of AI, accuracy information, nudges and a listening patient experience may help increase acceptance. To ensure that the benefits of AI are secured in clinical practice, future research on best methods of physician incorporation and patient decision making is required

Identifying, Weighting and Causality Modeling of Social and Economic Barriers to Rapid Infrastructure Recovery From Natural Disasters: A Study of Hurricanes Harvey, Irma and Maria

CTEDD 018-05 SGNatural disasters occur frequently in the U.S. and yield significant damages to critical infrastructures and communities. Many studies have focused on identifying disaster recovery indicators and reconstructing resilient communities. Although achieving communities resilient to natural disasters has been an ultimate goal for the decision-makers, it takes various timeframes for communities to recover from similar disasters, due to their different pre-disaster and post-disaster conditions. In this regard, many social, economic, environmental, etc. conditions, and their dynamic relationships and interaction should be considered to understand how they cause delays. Different aspects of disaster recovery have been studied within recent years, through which a variety of barriers relative to different prespectives were determined; however, barriers to effective and timely post-disaster recovery have not been studied in detail. This research aims to identify timely post-disaster recovery factors, investigate how the barriers to disaster recovery affect the recovery processes, and determine the relationships among the identified factors. To achieve these objectives, a comprehensive review of more than 300 scholarly papers in this area was performed, and potential post-disaster recovery barriers (PDRBs) were identified. Then, based on the potential PDRBs, a survey was developed and distributed to the experts and the public. The survey results were then analyzed, and the list of significant PDRBs was finalized, categorized, and prioritized. The results were used to develop a model to determine the relationships and interdependencies among preventive rapid post-disaster recovery variables. The 85 identified barriers were presented in economic, social, environmental, policy and legal, and infrastructure and transportation categories. Policy and legal barriers were recognized as fundamental causes of delays in timely post-disaster recovery; thus, these barriers were comprehensively investigated and their subcategories were presented. This research contributes to understanding how the PDRBs delay the postdisaster recovery processes. In addition, as this study has identified the relationships and interdependencies among various PDRBs, decision-makers can use the results to establish effective post-disaster recovery practices and to achieve more resilient communities

Oral Morphine Dosing Predictions Based on Single Dose in Healthy Children Undergoing Surgery

BACKGROUND: Oral morphine has been proposed as an effective and safe alternative to codeine for after-discharge pain in children following surgery but there are few data guiding an optimum safe oral dose. AIMS: The aim of this study was to characterize the absorption pharmacokinetics of enteral morphine in order to simulate time-concentration profiles in children given common oral morphine dose regimens. METHODS: Children (2-6 years, n = 34) undergoing elective surgery and requiring opioid analgesia were randomized to receive preoperative oral morphine (100 mcg·kg RESULTS: The oral morphine formulation had F 0.298 (CV 36.5%), T CONCLUSIONS: Oral morphine 200 mcg·kg then 100 mcg·kg-1 4 h or 150 mcg·kg-1 6 h achieves mean concentrations associated with analgesia. There was high serum concentration variability suggesting that respiration may be compromised in some children given these doses

The Parental Dental Concerns Scale (PDCS):its development and initial psychometric properties

Objectives: To assess the validity and reliability of a Parental Dental Concerns Scale (PDCS) to identify parents unable to access preventive dental care for their children.&lt;p&gt;&lt;/p&gt; Methods: Two studies were conducted. In Study One, a purposive convenience sample of 399 Scottish parents answered questions on going to the dentist, family life and demographics. Parents were retested eight weeks later. In Study Two, 574 Scottish parents participating in a preventive oral health programme were posted the same questionnaire. Information on child dental attendance was gained from dental records. Data were analysed using exploratory (EFA) and confirmatory (CFA) factor analysis. Internal consistency and test–retest correlations provided reliability estimates. Validity was assessed with confirmatory factor analysis, correlations and independent t-tests.&lt;p&gt;&lt;/p&gt; Results: EFA indicated that the PDCS had a four factor structure, supported by a subsequent CFA. The PDCS and its four subscales had good internal consistency, concurrent validity and test–retest reliability. Further work is required to confirm the scale's predictive validity in discriminating between children and parents who did and did not attend the dental practice.&lt;p&gt;&lt;/p&gt; Conclusions: The PDCS is a reliable scale, which demonstrates good construct validity. Further testing is required to confirm its predictive validity