Race/Ethnicity in Candidate Experiments:a Meta-Analysis and the Case for Shared Identification

Does race/ethnicity effect how voters assess political candidates? To address this question, we pooled data from 43 published candidate experiments from the last 10 years with a combined N of 305,632. We distinguish three different schools of thought that authors apply: unjust stereotypes, useful stereotypes and shared identification. Voters use “unjust stereotypes” and discriminate against candidates of color or use “useful stereotypes” that inform them of the policy positions they expect candidates to defend. Scholars increasingly apply a “shared identification” perspective and study the effect of congruence between voter and candidate characteristics on assessments. The results show that voters do not assess racial/ethnic minority candidates differently than their majority (white) counterparts. This does not hold for Asian candidates in the US: voters assess them slightly more positively than majority candidates, although this effect is small (0.76 percentage points). Shared identification matters enormously: when voters share the same race/ethnicity as a candidate they assess them 7.9 percentage points higher than that they assess majority candidates. This effect is substantively meaningful and significant for all most researched (US-based) races/ethnicities. This indicates that the underrepresentation of racial/ethnic minority citizens cannot be explained by voting behavior, but possibly by supply side effects

Degrees of influence: educational inequality in policy representation

Education plays an important role in the political, social and economic divisions that have recently characterised Western Europe. Despite the many analyses of education and its political consequences, however, previous research has not investigated whether government policy caters more to the preferences of the higher educated than to the preferences of the lower educated. We address this question using an original dataset of public opinion and government policy in the Netherlands. This data reveals that policy representation is starkly unequal. The association between support for policy change and actual change is much stronger for highly educated citizens than for low and middle educated citizens, and only the highly educated appear to have any independent influence on policy. This inequality extends to the economic and cultural dimensions of political competition. Our findings have major implications for the educational divide in Western Europe, as they reflect both a consequence and cause of this divide.NWO406‐15‐089Institutions, Decisions and Collective Behaviou

CGR-CUSUM: a continuous time generalized rapid response cumulative sum chart

Rapidly detecting problems in the quality of care is of utmost importance for the well-being of patients. Without proper inspection schemes, such problems can go undetected for years. Cumulative sum (CUSUM) charts have proven to be useful for quality control, yet available methodology for survival outcomes is limited. The few available continuous time inspection charts usually require the researcher to specify an expected increase in the failure rate in advance, thereby requiring prior knowledge about the problem at hand. Misspecifying parameters can lead to false positive alerts and large detection delays. To solve this problem, we take a more general approach to derive the new Continuous time Generalized Rapid response CUSUM (CGR-CUSUM) chart. We find an expression for the approximate average run length (average time to detection) and illustrate the possible gain in detection speed by using the CGR-CUSUM over other commonly used monitoring schemes on a real-life data set from the Dutch Arthroplasty Register as well as in simulation studies. Besides the inspection of medical procedures, the CGR-CUSUM can also be used for other real-time inspection schemes such as industrial production lines and quality control of services. Analysis and Stochastic

Performance evaluation of a rapid molecular diagnostic, MultiCode based, sample-to-answer assay for the simultaneous detection of Influenza A, B and respiratory syncytial viruses

AbstractBackgroundClinical signs and symptoms of different airway pathogens are generally indistinguishable, making laboratory tests essential for clinical decisions regarding isolation and antiviral therapy. Immunochromatographic tests (ICT) and direct immunofluorescence assays (DFA) have lower sensitivities and specificities than molecular assays, but have the advantage of quick turnaround times and ease-of-use.ObjectiveTo evaluate the performance of a rapid molecular assay, ARIES FluA/B & RSV, using laboratory developed RT-PCR assays (LDA), ICT (BinaxNOW) and DFA.MethodsAnalytical and clinical performance were evaluated in a retrospective study arm (stored respiratory samples obtained between 2006–2015) and a prospective study arm (unselected fresh clinical samples obtained between December 2015 and March 2016 tested in parallel with LDAs).ResultsGenotype inclusivity and analytical specificity was 100%. However, ARIES was 0.5 log, 1–2logs and 2.5logs less sensitive for fluA, RSV and fluB respectively, compared to LDA. In total, 447 clinical samples were included, of which 15.4% tested positive for fluA, 9.2% for fluB and 26.0% for RSV, in both LDA and ARIES. ARIES clinical sensitivity compared to LDA was 98.6% (fluA), 93.3% (fluB) and 95.1% (RSV). Clinical specificity was 100% for all targets. ARIES detected 10.6% (4 fluA, 8 fluB, 11 RSV) and 26.9% (7 fluA, 3 fluB, 22 RSV) more samples compared to DFA and ICT, all confirmed by LDA.ConclusionAlthough analytically ARIES is less sensitive than LDA, the clinical performance of the assay in our tertiary care setting was comparable, and significantly better than that of the established rapid assays