Conducting quantitative studies with the participation of political elites: best practices for designing the study and soliciting the participation of political elites

Conducting quantitative research (e.g., surveys, a large number of interviews, experiments) with the participation of political elites is typically challenging. Given that a population of political elites is typically small by definition, a particular challenge is obtaining a sufficiently high number of observations and, thus, a certain response rate. This paper focuses on two questions related to this challenge: (1) What are best practices for designing the study? And (2) what are best practices for soliciting the participation of political elites? To arrive at these best practices, we (a) examine which factors explain the variation in response rates across surveys within and between large-scale, multi-wave survey projects by statistically analyzing a newly compiled dataset of 342 political elite surveys from eight projects, spanning 30 years and 58 countries, (b) integrate the typically scattered findings from the existing literature and (c) discuss results from an original expert survey among researchers with experience with such research (n = 23). By compiling a comprehensive list of best practices, systematically testing some widely held believes about response rates and by providing benchmarks for response rates depending on country, survey mode and elite type, we aim to facilitate future studies where participation of political elites is required. This will contribute to our knowledge and understanding of political elites’ opinions, information processing and decision making and thereby of the functioning of representative democracies

Do Public Consultations Reduce Blame Attribution? The Impact of Consultation Characteristics, Gender, and Gender Attitudes

Can public consultations—gatherings organised to solicit constituent opinions—reduce the blame attributed to elected representatives whose decisions end up backfiring? Using two pre-registered survey experiments conducted on nationally representative samples of US respondents, we examine whether the effectiveness of consultations as a blame avoidance tool may be shaped by: (1) consultation characteristics, especially regarding whether or not representatives align their policies, either actively or passively, with constituent opinion; and (2) elected representative and constituent characteristics, especially regarding a representative’s gender and constituents’ gender attitudes. Results suggest that public consultations are indeed liable to decrease blame attribution, just so long as constituent opinion is not explicitly opposed to the representative’s decision. Active alignment with constituent opinion, however, does not appear to be a requirement for decreased blame attribution—and effects related to gender and gender attitudes are also largely absent. These findings are important for scholars seeking to better understand blame attribution, clarifying how public consultations might help politicians to pre-empt blame by reducing clarity of responsibility

Heuristics and policy responsiveness: a research agenda

Theories of policy responsiveness assume that political decision-makers can rationally interpret information about voters’ likely reactions, but can we be sure of this? Political decision-makers face considerable time and information constraints, which are the optimal conditions for displaying decision-making biases—deviations from comprehensive rationality. Recent research has shown that when evaluating policies, political decision-makers display biases related to heuristics—cognitive rules of thumb that facilitate judgments and decision-making—when evaluating policies. It is thus likely that they also rely on heuristics in other situations, such as when forming judgments of voters’ likely reactions. But what types of heuristics do political decision-makers use in such judgments, and do these heuristics contribute to misjudgements of voters’ reactions? Existing research does not answer these crucial questions. To address this lacuna, we first present illustrative evidence of how biases related to heuristics contributed to misjudgements about voters’ reactions in two policy decisions by UK governments. Then, we use this evidence to develop a research agenda that aims to further our understanding of when political decision-makers rely on heuristics and the effects thereof. Such an agenda will contribute to the literature on policy responsiveness

Why governing parties change their platforms more frequently than those in opposition

Following an election, are parties that enter government more likely to alter their electoral platform than parties in opposition? Gijs Schumacher, Marc van de Wardt, Barbara Vis and Michael Baggesen Klitgaard present findings from data on party programmes going back to 1945. Their research indicates that, contrary to expectations, parties in government are more likely to alter their programme than parties in opposition, but that this effect depends on the extent to which parties aspire to hold office in the next election

The “qualitative” in qualitative comparative analysis (QCA): Research moves, case-intimacy and face-to-face interviews

Qualitative Comparative Analysis (QCA) includes two main components: QCA “as a research approach” and QCA “as a method”. In this study, we focus on the former and, by means of the “interpretive spiral”, we critically look at the research process of QCA. We show how QCA as a research approach is composed of (1) an “analytical move”, where cases, conditions and outcome(s) are conceptualised in terms of sets, and (2) a “membership move”, where set membership values are qualitatively assigned by the researcher (i.e. calibration). Moreover, we show that QCA scholars have not sufficiently acknowledged the data generation process as a constituent research phase (or “move”) for the performance of QCA. This is particularly relevant when qualitative data–e.g. interviews, focus groups, documents–are used for subsequent analysis and calibration (i.e. analytical and membership moves). We call the qualitative data collection process “relational move” because, for data gathering, researchers establish the social relation “interview” with the study participants. By using examples from our own research, we show how a dialogical interviewing style can help researchers gain the in-depth knowledge necessary to meaningfully represent qualitative data into set membership values for QCA, hence improving our ability to account for the “qualitative” in QCA

Adult patients with pulmonary arterial hypertension due to congenital heart disease: a review on advanced medical treatment with bosentan

Pulmonary arterial hypertension (PAH) is a progressive disease with poor survival outcome. PAH is classified by the 2009 updated clinical classification of pulmonary hypertension and a major subgroup is PAH due to congenital heart disease (CHD) with systemic-to-pulmonary shunt. CHD-PAH is a result of systemic-to-pulmonary shunting and chronic increased flow that ultimately results in adaptations of pulmonary vasculature and endothelial dysfunction. The advanced stage is called Eisenmenger syndrome which forms a small percentage (1%) of all CHD patients. Therapies targeted on PAH symptoms are called primary therapy for PAH, but most CHD-PAH patients progress to advanced therapy which is directed at the PAH itself. In CHD-PAH, advanced therapies are extensively investigated for all three major pathways: endothelin-1 receptor antagonists such as bosentan, prostanoids such as epoprostenol and phosphodiesterase 5 inhibitors such as sildenafil. Endpoints in most trials were catheterization hemodynamics, World Health Organization functional class, six-minute walking distance and patient-focused outcomes, based on quality of life questionnaires and Borg dyspnea index. The BREATHE-5 and EARLY study were two important randomized controlled trials showing efficacy of bosentan at short follow-up. Moreover in patients with Eisenmenger syndrome, one recent survival retrospective study with majority of patients on bosentan showed strong survival benefit over conservative therapy. A diversity of prospective cohort and retrospective studies were performed but all with limited data, due to small numbers and heterogeneity of underlying CHD diagnoses. Further larger studies are needed to determine optimal treatment for adults with CHD-PAH. This review focuses on bosentan in CHD-PAH. In particular, we discuss outcome of various clinical trials and compare efficacy and safety of bosentan to other advanced therapies

Necessary Condition Analysis (NCA) Does Exactly What It Should Do When Applied Properly: A Reply to a Comment on NCA

There are two problems with the comment of Thiem about necessary condition analysis (NCA): First, it is based on wrong assumptions about what NCA aims to do. Second, it applies NCA incorrectly. These are critical errors such that the comment’s conclusions about NCA are flawed. Contrary to what the comment states, NCA is a valid method for identifying necessary conditions

Why and how do political actors pursue risky welfare state reforms?

Why and how do political actors pursue risky welfare state reforms, in spite of the institutional mechanisms and political resistance that counteract change? This is one of the key puzzles of contemporary welfare state research, which is brought about by the absence of a complete account that identifies both the cause and causal mechanisms of risky reforms. In this article we offer a remedy for this lacuna. Prospect theory teaches us that political actors will only undertake risky reforms if they consider themselves to be in a losses domain, that is when their current situation is unacceptable. Next, we discuss the strategies that political actors use to avoid the blame associated with risky reforms. These provide the causal mechanisms linking cause and effect. The sudden outburst of risky reforms in formerly 'immovable' Italy provides an empirical illustration of our account. Copyright © 2007 Sage Publications

Six-Minute Walk Test in Patients With Down Syndrome:Validity and Reproducibility

Contains fulltext : 81543.pdf (publisher's version ) (Closed access)OBJECTIVES: To examine the validity of the six-minute walk test (6MWT) as a tool to evaluate functional exercise performance in patients with Down syndrome (DS). DESIGN: Comparison of the six-minute walk distance (6MWD) in 2 distinct groups of DS patients: with and without severe cardiac disease. To test reproducibility, a group of patients with DS performed the 6MWT twice. SETTING: Tertiary referral centers for patients with congenital heart defects and outpatient clinics for people with intellectual disabilities. PARTICIPANTS: Adult patients with DS with (n=29) and without (n=52) severe cardiac disease categorized by cardiac echocardiography. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Distance walked on the 6MWT. RESULTS: The mean 6MWD in the group with severe cardiac disease was 289+/-104 m and in the group without severe cardiac disease 280+/-104 m (P=.70). Older age, female sex, and severe level of intellectual disability were all found to be independently and significantly correlated with a lower 6MWD (r=.67, P<.001). The paired 6MWD was not significantly different (310+/-88 m vs 317+/-85 m; P=.40) in patients who performed the 6MWT twice. The coefficient of variation was 11%. CONCLUSIONS: The 6MWD between the 2 groups was not significantly different. However, the walking distance inversely correlated with the level of intellectual disability. Therefore, the 6MWT is not a valid test to examine cardiac restriction in adult patients with DS