Publizistische Chancengleichheit in der Wahlkampfberichterstattung?

A true democracy is based on political competition. Political parties set up programmes and suggest solutions which the electorate is then asked to choose between. Competition for tomorrow??s leadership positions can only be fair if today there are equal opportunities for all parties. The German legislative body passed several laws which are meant to guarantee equal opportunities in this contest. In times of an ever increasing importance of the mass media for political communication, this paper is meant to answer the question of whether??besides equal political opportunities??there is something like equal media opportunities, and if so, which indicators can be used to measure them. After a broad theoretical examination, an empirical analysis of the media coverage prior to the general elections in 1998, 2002 and 2009 follows. It reveals that??from a quantitative point of view??there certainly are equal media opportunities for the political parties sitting in the German Bundestag. The chances for media coverage are, especially for smaller parties, better than the gradation of equal chances by formal regulations.     

Ein Index zur numerischen Bestimmung der Niveau-Eigenschaft eines psychologischen Tests

Zusammenfassung Es wird ein Index definiert, der den Grad, in dem ein Intelligenz- oder Leistungstest die Eigenschaften und Bedingungen eines ideal-typischen Niveau-Tests erfüllt, kennzeichnet. Der Index variiert in den Grenzen von 0 bis 1, wobei der Wert 0 einem idealtypischen Schnelligkeitstest (Speed-Test) und der Wert 1 einem idealtypischen Niveau-Test entspricht. Dieser Index kann aufgrund einer einmaligen Testdurchführung bestimmt werden; er ist abh?ngig von der Zeitbegrenzung des Testes und vom Leistungsniveau der untersuchten Stichprobe. Es wird vorgeschlagen, einen Test mitw> > 0,7 als Niveautest, einen solchen mitw<0,3 als Schnelligkeitstest zu bewerten. Die Berechnung vonw wird an Hand bekannter Tests demonstriert und einige Anwendungsbeschr?nkungen er?rtert.

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Summary An index (w) for determining a test as to its degree of being a speed or a power test is proposed varying like a coefficient of correlation from zero to one. This index may be derived from a single testing a posteriori. It is dependent on the given time limit and on the achievement level of the sample tested. From empirical evidence it is suggested to accept a test with an indexw>0,7 as a power test and a test withw<0,3 as a speed test. Numerical examples for calculatingw are given and some restrictions for its application are discussed.

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Herrn Prof. H. Münzner (Berlin) danken die Verfasser für die Durchsicht des Manuskriptes und für seine wertvollen Anregungen.     

Über eine Variante der empirischen Verteilungsfunktion

Summary If ₁, ₂,..., _n and ₁, ₂,..., _–1 are two ordered samples from a population with continuous distribution functionF(x), then the points ( _r ,r/n),r=1, 2,..., n–1 provide a better approximation ofF(x) than the points ( _r ,r/n),r=1, 2,..., n, in the following sense:A maximal upper deviation and a maximal lower deviation of more theny have — contrary to the points ( _r ,r/n) — equal probability for anyy0, if we deal with the points ( _r ,r/n). This probability is at least for ally in the interval , 1 less than the probability for a maximal upper deviation of more thany in the case of the points ( _r ,r/n). This is shown by a comparison of the Smirnow-Birnbaum-Tingey — formula with an analogous formula for the maximal one-sided deviations of the points( _r ,r/n).     

On a use of stratified sampling in optimal estimation

Summary Postulating an intra-class correlation structure for a finite population vector of variate — values optimal stratified and unstratified strategies for estimating the total are identified and relative efficiencies noted. Higher efficiency of stratified over unstratified sampling is demonstrated for usual estimators in ppswr case, in particular. In the uncorrelated case appropriately chosen two-stage strategies are observed to fare at par with optimal stratified ones.     

Bayesian regression analysis using poly-t densities

Poly-t densities are defined by the property that their kernel is a product, or ratio of products, of Student-t kernels. These multivariate densities arise as Bayesian posterior densities for regression coefficients, under a surprising variety of specifications for the prior density and the data generating process. Although no analytical expression exists for the integrating constant and moments of these densities, these parameters are obtained through numerical integration in a number of dimensions given by the number of Student-t kernels in the numerator, minus one. The paper reviews how poly-t densities arise in regression analysis, and summarizes the results obtained for a number of models.     

Über die Existenz überall trennscharfer Tests

Ohne Zusammenfassung