Publications by authors named "E Lautsch"

Rivers of the large Alpine valleys constitute iconic ecosystems that are highly threatened by multiple anthropogenic stressors. This stressor mix, however, makes it difficult to develop and refine conservation and restoration strategies. It is, therefore, urgent to acquire more detailed knowledge on the consequences and interactions of prevalent stressors on fish populations, in particular, on indicator species such as the European grayling Thymallus thymallus.

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River valley floodplains are physically-dynamic environments where fluvial processes determine habitat gradients for riparian vegetation. These zones support trees and shrubs whose life stages are adapted to specific habitat types and consequently forest composition and successional stage reflect the underlying hydrogeomorphic processes and history. In this study we investigated woodland vegetation composition, successional stage and habitat properties, and compared these with physically-based indicators of hydraulic processes.

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In the article "Identification of Types in Small Samples with the help of Bootstrap Simulation" we could show how anxiety-depression types could be explored in small samples. We used the two sub-scales (anxiety and depression) in accordance with the indications of the HAD manual of Zigmond, A.S.

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Using a HAD-file as an illustration, we could show that small files (n = 50) can provide statistically significant results if we apply bootstrap simulation. First the subscales "anxiety" and "depression" are computed and afterwards classified (in three categories). Both classified subscales are cross tabled and submitted to a configurational cluster analysis.

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The paper entitled "Two-sample CFA: Solitary and complementary discriminant types of treatment- and control groups" suggests to modify 2-sample and c-sample CFA as follows: While singular patterns of attributes define solitary types, complementary pairs of patterns define complementary types which may be interpreted as poles of a type-defining factor in factor analysis. The new version of 2-sample CFA is illustrated in 2 examples from clinical psychology with patterns of scales and symptoms.

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