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Abstract

The following chapter provides the results of the empirical data analysis with PLS. For performing a PLS parameter estimation a few software packages, most notably PLS-Graph, SmartPLS, PLS-GUI, and Spad-PLS are available. This research study uses SmartPLS 2.0 M3 for conducting the SEM analysis. This software has a graphical user interface and several features which allow for creating structural models, importing indicator data and generating outputs of parameter estimates in a comfortable manner.

Keywords

Path Coefficient Cognitive Style Composite Reliability Political Behavior Construct Reliability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Gabler Verlag | Springer Fachmedien Wiesbaden GmbH 2011

Authors and Affiliations

  • Wolfgang Gänswein

There are no affiliations available

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