How Death Guides Human Behavior - The Role of Cultural Norms and Values in Terror Management Theory

Die Dissertation besteht im Wesentlichen aus zwei Teilen: der Synopse und einem empirischen Teil. In der Synopse werden die Befunde aus dem empirischen Teil zusammengefasst und mit der bisherigen Forschungsliteratur in Zusammenhang gesetzt. Im empirischen Teil werden alle Studien, die für diese Dissertation durchgeführt wurden, in Paper-Format berichtet. Im ersten Teil der Synopse werden grundlegende Annahmen der Terror Management Theorie (TMT) dargelegt—mit besonderem Schwerpunkt auf die Mortalitätssalienz (MS)-Hypothese, die besagt, dass die Konfrontation mit der eigenen Sterblichkeit die Motivation erhöht das eigene Weltbild zu verteidigen und nach Selbstwert zu streben. In diesem Kontext wird auch die zentrale Rolle von Gruppen erklärt. Basierend auf diesen beiden Reaktionen, wird TMT Literatur angeführt, die sich auf bestimmte kulturelle Werte und soziale Normen bezieht (wie prosoziale und pro-Umwelt Normen, materialistische und religiöse Werte, dem Wert der Ehrlichkeit, die Norm der Reziprozität und deskriptive Normen). Darüber hinaus werden Randbedingungen, wie Gruppenmitgliedschaft und Norm-Salienz, diskutiert. Zuletzt folgt eine Diskussion über die Rolle von Gruppen, der Funktion des Selbstwerts und über Perspektiven einer friedlichen Koexistenz. Der empirische Teil enthält elf Studien, die in acht Papern berichtet werden. Das erste Paper behandelt die Rolle von Gruppenmitgliedschaft unter MS, wenn es um die Bewertung von anderen geht. Das zweite Manuskript geht der Idee nach, dass Dominanz über andere für Sadisten eine mögliche Quelle für Selbstwert ist und daher unter MS verstärkt ausgeübt wird. Das dritte Paper untersucht prosoziales Verhalten in einer Face-to-Face Interaktion. Im vierten Paper wird gezeigt, dass Personen (z.B. Edward Snowden), die im Namen der Wahrheit handeln, unter MS positiver bewertet werden. Im fünften Paper zeigen zwei Studien, dass MS dazu führt, dass mögliche gelogene Aussagen kritischer beurteilt werden. Das sechste Paper zeigt, dass der Norm der Reziprozität unter MS stärker zugestimmt wird. Das siebte Paper geht der Frage nach, inwiefern MS das Einhalten dieser Norm beeinflusst. Und schließlich wird im achten Paper gezeigt, dass MS die Effektivität der Door-in-the-Face Technik erhöht—eine Technik, die auf der Norm der Reziprozität basiert.

Bayes quadratic unbiased estimator of spatial covariance parameters

This work presents Bayes invariant quadratic unbiased estimator, for short BAIQUE. Bayesian approach is used here to estimate the covariance functions of the regionalized variables which appear in the spatial covariance structure in mixed linear model. Firstly a brief review of spatial process, variance covariance components structure and Bayesian inference is given, since this project deals with these concepts. Then the linear equations model corresponding to BAIQUE in the general case is formulated. That Bayes estimator of variance components with too many unknown parameters is complicated to be solved analytically. Hence, in order to facilitate the handling with this system, BAIQUE of spatial covariance model with two parameters is considered. Bayesian estimation arises as a solution of a linear equations system which requires the linearity of the covariance functions in the parameters. Here the availability of prior information on the parameters is assumed. This information includes apriori distribution functions which enable to find the first and the second moments matrix. The Bayesian estimation suggested here depends only on the second moment of the prior distribution. The estimation appears as a quadratic form y'Ay , where y is the vector of filtered data observations. This quadratic estimator is used to estimate the linear function of unknown variance components. The matrix A of BAIQUE plays an important role. If such a symmetrical matrix exists, then Bayes risk becomes minimal and the unbiasedness conditions are fulfilled. Therefore, the symmetry of this matrix is elaborated in this work. Through dealing with the infinite series of matrices, a representation of the matrix A is obtained which shows the symmetry of A. In this context, the largest singular value of the decomposed matrix of the infinite series is considered to deal with the convergence condition and also it is connected with Gerschgorin Discs and Poincare theorem. Then the BAIQUE model for some experimental designs is computed and compared. The comparison deals with different aspects, such as the influence of the position of the design points in a fixed interval. The designs that are considered are those with their points distributed in the interval [0, 1]. These experimental structures are compared with respect to the Bayes risk and norms of the matrices corresponding to distances, covariance structures and matrices which have to satisfy the convergence condition. Also different types of the regression functions and distance measurements are handled. The influence of scaling on the design points is studied, moreover, the influence of the covariance structure on the best design is investigated and different covariance structures are considered. Finally, BAIQUE is applied for real data. The corresponding outcomes are compared with the results of other methods for the same data. Thereby, the special BAIQUE, which estimates the general variance of the data, achieves a very close result to the classical empirical variance.

Increasing scepticism toward potential liars: effects of existential threat on veracity judgments and the moderating role of honesty norm activation

With the present research, we investigated effects of existential threat on veracity judgments. According to several meta-analyses, people judge potentially deceptive messages of other people as true rather than as false (so-called truth bias). This judgmental bias has been shown to depend on how people weigh the error of judging a true message as a lie (error 1) and the error of judging a lie as a true message (error 2). The weight of these errors has been further shown to be affected by situational variables. Given that research on terror management theory has found evidence that mortality salience (MS) increases the sensitivity toward the compliance of cultural norms, especially when they are of focal attention, we assumed that when the honesty norm is activated, MS affects judgmental error weighing and, consequently, judgmental biases. Specifically, activating the norm of honesty should decrease the weight of error 1 (the error of judging a true message as a lie) and increase the weight of error 2 (the error of judging a lie as a true message) when mortality is salient. In a first study, we found initial evidence for this assumption. Furthermore, the change in error weighing should reduce the truth bias, automatically resulting in better detection accuracy of actual lies and worse accuracy of actual true statements. In two further studies, we manipulated MS and honesty norm activation before participants judged several videos containing actual truths or lies. Results revealed evidence for our prediction. Moreover, in Study 3, the truth bias was increased after MS when group solidarity was previously emphasized.