Robuste Indizes für Projection Pursuit

Die moderne und hoch komplexe Fertigung, z.B. in der Halbleiterindustrie, erfordert für die dabei anfallenden Messdaten der Anlagen- bzw. Prozessparameter multivariate Analysemethoden. Eine dieser m?glichen Analysemethoden ist Projection Pursuit (PP). Dieses Verfahren ist durch geschickte Wahl des so genannten Projektionsindex in der Lage, verschiedenste Datencharakteristika zu detektieren und diese auf anschauliche Weise zu visualisieren. Bei den Projektionsindizes handelt es sich um Funktionen, die eine Projektion auf unterschiedliche Merkmale hin bewerten und dabei jeder Projektion einen Funktionswert zuweisen. Dieser Funktionswert spiegelt die Aussagekraft der Projektion (in Abh?ngigkeit vom verwendeten Index) wider. Die Auswahl bzw. der Aufbau dieser Indizes ist hierbei von entscheidender Bedeutung. Alle hier vorgestellten Indizes zeichnen sich vor allem durch ihren robusten Charakter gegenüber durch Ausrei?er kontaminierte Daten, wie sie in realen Datenszenarien vorkommen, aus. Die durch Anwendung dieser Indizes gewonnenen Einblicke in die komplexe Struktur der Daten erm?glichen es, hochdimensionale Parameterabweichungen und komplexe Zusammenh?nge innerhalb der Daten zu finden.     

Unvereinbarkeiten im Universitäts- bzw Hochschul-Bereich

Beim "Unvereinbarkeits-Recht" handelt es sich um eine ?u?erst kasuistische Materie, die sich über weite Strecken als uneinheitlich darstellt; dessen ungeachtet sind die diesbezüglichen einschl?gigen Bestimmungen als nicht analogief?hig anzusprechen. Diese Pr?missen müssen dem Grunde nach auch für die in einzelnen Hochschulgesetzen verankerten Unvereinbarkeitsbestimmungen gelten, deren "Normendichte" ?u?erst differenziert ausgestaltet ist.     

Perceptual-cognitive skills in offside decision making: expertise and training effects

This two-experiment study aims to investigate the role of expertise in offside decision making (Experiment 1) and the effect of perceptual-cognitive training (Experiment 2). In Experiment 1, a video-based offside decision-making task followed by a frame recognition task demonstrated a bias toward flag errors and a forward memory shift for less-successful elite-standard assistant referees that is in line with the predictions from the flash-lag effect. In Experiment 2, an offside decision-making training program demonstrated a substantial progress from pre- to posttest for response accuracy, but not for accuracy of memory in the frame recognition task. In both experiments, no differences were found for visual scan patterns. First, these results suggest that less-successful elite-standard assistant referees are more affected by the flash-lag effect. Second, an off-field perceptual-cognitive training program can help assistant referees to deal with the perceptual consequences of the flash-lag illusion and to readjust their decision-making process accordingly.     

借鉴德国经验制定培训需求计划

前言 在国民经济发展过程中"人力资源"所发挥的作用越来越重要,而其他生产因素,如土地、资金的作用则逐渐削弱.优化和开发人力资源成为一种必然的趋势.这就意味着要加大对劳动者的培训力度,使他们具有综合能力和多方面技能,以适应社会和国民经济发展的需求.另外,对已具备相当劳动技能和能力的从业人员也应进行相应培训,使其劳动技能不断提高.一个具有大批高素质后备劳动力的国家,其发展前景是不可估量的.鉴于此,世界各国都越来越重视人力资源的开发,根据本国的具体条件建立起了符合本国国情的就业和教育体系.     

Trivializing the News? Affective Context Effects of Commercials on the Perception of Television News

This study examined whether affect induced by television commercials influences the perception of news programming. An experiment showed that viewers in positive moods generated by television commercials perceive news stories viewed both after and before watching the commercials as more entertaining, relaxing, realistic, and more credible than viewers exposed to neutral commercials do. Of interest, viewers in positive mood, as compared to neutral mood, perceived the topic presented in the news story as less important and serious.     

Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects

Interaction and quadratic effects in latent variable models have to date only rarely been tested in practice. Traditional product indicator approaches need to create product indicators (e.g., x ₁ ², x ₁ x ₄) to serve as indicators of each nonlinear latent construct. These approaches require the use of complex nonlinear constraints and additional model specifications and do not directly address the nonnormal distribution of the product terms. In contrast, recently developed, easy-to-use distribution analytic approaches do not use product indicators, but rather directly model the nonlinear multivariate distribution of the measured indicators. This article outlines the theoretical properties of the distribution analytic Latent Moderated Structural Equations (LMS; Klein & Moosbrugger, 2000) and Quasi-Maximum Likelihood (QML; Klein & Muthén, 2007) estimators. It compares the properties of LMS and QML to those of the product indicator approaches. A small simulation study compares the two approaches and illustrates the advantages of the distribution analytic approaches as multicollinearity increases, particularly in complex models with multiple nonlinear terms. An empirical example from the field of work stress applies LMS and QML to a model with an interaction and 2 quadratic effects. Example syntax for the analyses with both approaches is provided.     

Buchbesprechungen

Ohne Zusammenfassung     

Spillovers from publicly financed business R&D: some empirical evidence from Germany

This paper investigates the effects of interindustry R&D spillovers from publicly financed business R&D on private R&D efforts and productivity using data of West German manufacturing industries. The results suggest that it is important to distinguish between the effects of spillovers from privately and publicly financed business R&D. In particular, estimation results provide evidence of productivity-enhancing effects of spillovers from privately financed R&D while results are less clear-cut for publicly financed R&D. Moreover, there is some empirical evidence that private R&D efforts of higher-technology industries are stimulated by spillovers from privately financed R&D but not by spillovers from publicly financed R&D. However, public funding of R&D in higher-technology industries seems to induce private R&D investments within these industries.