Publikationsliste KOPS

Acute stress is known to increase prosocial behavior in men via a “tend-and-befriend” pattern originally proposed as a specifically female stress response alongside the fight-or-flight response. However, the direct effects of acute stress on women’s social behavior have not been investigated. Applying the Trier Social Stress Test for groups (TSST-G), 94 women were confronted with either a stress or control condition. We repeatedly measured their subjective stress responses, salivary cortisol, and heart rate, and investigated their level of trust, trustworthiness, sharing, punishment and non-social risk using social decision paradigms. We detected significant increases in all stress parameters, as well as the wish for closeness during the stress condition. Acute stress exposure elevated prosocial trustworthiness and sharing without affecting non-social risk behavior. These results are in line with findings on the effects of stress in men, and further validate the tend-and-befriend pattern as one possible behavioral response during stress in humans.

While the political nature of evaluation is widely recognized, few attempts exist to conceptualize and compare these politics. This article develops the concept of evaluation stakeholder influence potential, which builds on four political resources for influence (agenda-setting powers, staff and budgetary resources, access to evaluation results, and access to evaluators). These resources are measured for both member states and international public administrations in 24 United Nations organizations. We find that the administration—and not member states—have the largest influence potential in almost two-thirds of the international organizations. Our findings allow classifying them into three groups for which we expect differences in political contestation about evaluation use: two extreme-case groups (either member state or administrative dominance) and a group of contested middle cases. This finding of bureaucratic dominance reinforces literature on bureaucrats as powerful evaluation stakeholders in domestic settings and speaks to nascent research on bureaucratic influence in international organizations.

In the context of large-scale migration within and into Europe, the question of whether and under which conditions immigrants should be granted access to social benefits in the country of destination is of high political relevance. A large body of research has studied natives’ attitudes towards giving immigrants access to the welfare state, while research on attitudes of immigrants themselves is scarce. Focusing on the impact of self-interest, we compare immigrants and native citizens in their attitudes towards granting immigrants access to the welfare state. We identify three mechanisms through which self-interest can influence these attitudes: immigrant origin, socio-economic status and – for first-generation immigrants only – incorporation into the host society. We test our expectations using cross-national data from the European Social Survey round 2008. The findings suggest that self-interest is indeed one of the factors that motivate attitudes towards welfare state restrictiveness among natives and immigrants, but also point at relevant exceptions to this pattern.

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The growing multitude of sophisticated event-level data collection enables novel analyses of conflict. Even when multiple event data sets are available, researchers tend to rely on only one. We instead advocate integrating information from multiple event data sets. The advantages include facilitating analysis of relationships between different types of conflict, providing more comprehensive empirical measurement, and evaluating the relative coverage and quality of data sets. Existing integration efforts have been performed manually, with significant limitations. Therefore, we introduce Matching Event Data by Location, Time and Type (MELTT)—an automated, transparent, reproducible methodology for integrating event data sets. For the cases of Nigeria 2011, South Sudan 2015, and Libya 2014, we show that using MELTT to integrate data from four leading conflict event data sets (Uppsala Conflict Data Project–Georeferenced Event Data, Armed Conflict Location and Event Data, Social Conflict Analysis Database, and Global Terrorism Database) provides a more complete picture of conflict. We also apply multiple systems estimation to show that each of these data sets has substantial missingness in coverage.

This paper presents empirical evidence on a recent advancement of the item count technique (ICT, a survey technique for asking sensitive questions), namely, the person count technique (PCT; Grant, Moon, & Gleason, 2014). PCT utilizes person lists instead of lists of filler questions, as is the case in the classic ICT design. This simplifies the questioning procedure, but leads to some methodological challenges such as floor and ceiling effects. The main part of this paper presents empirical evidence stemming from an experimental postal survey in Germany (N = 580) investigating how well PCT performs as compared to standard direct questioning (DQ) with regard to alleviating misreporting for questions on attitudes towards refugees. PCT prevalence estimates for hostile attitudes towards refugees are significantly higher than DQ estimates for one item, and non-significantly higher for three items. Although not consistently significant, the differences are substantial, amounting to a threefold increase of the proportion of respondents expressing negative attitudes towards refugees. Even though the findings are not unequivocally in favor of PCT, this new ICT variant still deserves consideration in the future and warrants further development. Specifically, more knowledge is required with respect to its statistical properties and the best practices of its implementation.