It Is Not Always the Same: The Effect of District Magnitude Across Various Kinds of Electoral Systems

Replication data for paper "It Is Not Always the Same: The Effect of District Magnitude Across Various Kinds of Electoral Systems" currently undergoing a peer-review

How to Measure Deviations in the Performance of Electoral Systems

Dataset for replication of the pape

From Duverger to the Seat Product: Seeking a Pattern in Experts’ Evaluation of Electoral Systems

Widely influential Duverger’s “law” and “hypothesis” describe the main direction of influence of electoral rules on party systems, however, their formulations are quite blurry what makes their application to concrete electoral results often ambiguous. Therefore, this research conducted an original survey among electoral experts (n=131) to explore whether they apply Duverger’s rule in a consistent pattern which could lead to its less ambiguous specification. Experts’ responses revealed a considerable heterogeneity which indicates that their evaluation of electoral systems is not driven by an unambiguous theoretical framework. Nevertheless, experts were on average consistent with the quantification of the Duverger’s rule done by Taagepera (2007) in Seat Product Models which served as benchmarks for this study. Therefore, this research concludes that the Seat Product Models constitute a suitable specification of the Duverger’s logic which should be used as a baseline in electoral studies. The reason is that the Models allow more fine-grained evaluation of electoral systems, while being already consistent with experts’ perception of electoral system effects

It Is Not Always the Same: The Effect of District Magnitude Across Various Kinds of Electoral Systems

Replication data for paper "It Is Not Always the Same: The Effect of District Magnitude Across Various Kinds of Electoral Systems" currently undergoing a peer-review.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

How to Measure Deviations in the Performance of Electoral Systems

Dataset for replication of the paperTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

From Duverger to the Seat Product: Seeking a Pattern in Experts’ Evaluation of Electoral Systems

Widely influential Duverger’s “law” and “hypothesis” describe the main direction of influence of electoral rules on party systems, however, their formulations are quite blurry what makes their application to concrete electoral results often ambiguous. Therefore, this research conducted an original survey among electoral experts (n=131) to explore whether they apply Duverger’s rule in a consistent pattern which could lead to its less ambiguous specification. Experts’ responses revealed a considerable heterogeneity which indicates that their evaluation of electoral systems is not driven by an unambiguous theoretical framework. Nevertheless, experts were on average consistent with the quantification of the Duverger’s rule done by Taagepera (2007) in Seat Product Models which served as benchmarks for this study. Therefore, this research concludes that the Seat Product Models constitute a suitable specification of the Duverger’s logic which should be used as a baseline in electoral studies. The reason is that the Models allow more fine-grained evaluation of electoral systems, while being already consistent with experts’ perception of electoral system effects.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

A stress inversion procedure for polyphase fault/slip data sets

Palaeostress estimation from striated fault data is frequently frustrated by the fact that natural fault data are heterogeneous in the sense that they cannot satisfactorily be explained by reactivation brought about by a single stress tensor. In many instances there is clear evidence to show that striation data can record the effects of multiple stress events. Any attempt to find the tensor which best fits (or explains) such dynamically mixed data sets risks determining a spurious stress state which is some form of compromise between the real stress states corresponding to different tectonic phases. To avoid this problem a strategy is proposed here which involves an initial separation of the raw data into coherent sub-sets prior to formal stress inversion. This separation is performed by assigning attributes to each fault which describe the fault's compatibility with trial stress tensors. Using these attributes faults can be grouped into dynamically-homogeneous families using the statistical techniques of cluster analysis

Replication data for: The role of partisan cues on voters’ mobilization in a referendum

Even though partisan cues are widely recognized as a primary force shaping voter behavior in a referendum, their effect on a decision whether to attend or abstain from voting has not yet been carefully studied. Our analysis of the pre-referendum survey data gathered before the 2015 citizen-initiated referendum in Slovakia leads to two important conclusions: First, parties’ recommendations whether to attend or abstain from voting influence voters’ behavior in a similar fashion as their suggestions for which side to vote for. Moreover, in certain institutional settings, the partisan cues related to mobilization have an even stronger impact on voters than endorsements for who or what to vote for. Second, the provided party recommendations must be unambiguous and clear. Lower clarity cues are reflected in voters’ behavior to a lesser extent.Note: Data is originally collected by the FOCUS Agency (in Slovakia) on demand of the Daily SME. All the essential information could be found in the .xlsx file.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

A stress inversion procedure for polyphase calcite twin and fault-slip sets

In rocks that are polydeformed an approach which separates faults prior to stress inversion is more appropriate. The traditional stress inversion approach involving the concept of the best-fit stress tensor, e.g. a tensor which minimises the misfit between calculated and measured fault-striae data, often risks computing artificial stress tensors that are some form of average of mixed sets of real stress tensors. A new approach is proposed in which fault data are pre-processed to group the faults on the basis of their response to all possible orientations and magnitudes of applied stress. A computer method is described which utilises cluster analysis based on the right-dihedra method to divide dynamically-mixed fault populations to monophase subsets. This division is based on the ranked similarity coefficients of each fault pair from the raw data set. The data clusters form dynamically-homogeneous subsets, which are used for the composite right-dihedra solution. This solution is re-computed for the reduced stress tensor defined by the orientation of principal stress axes and the ratio of their magnitudes