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ResearchPaper
2019

Data quality and information loss in standardised interpolated path analysis : quality measures and guidelines

Abstract (English)

Standardised interpolated path analysis (SIPA) is a method to investigate negotiation processes making different negotiation histories comparable. Due to its interpolation approach, researchers employing SIPA must take data quality and potential information loss into account to maximise the method’s explanatory power. This paper presents quality measures and applies them to two negotiation datasets for deriving meaningful boundaries. Using these quality measures enables researchers to compare SIPA across segmentations, variables, and datasets also providing outlier analysis.

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Publication series

Hohenheim discussion papers in business, economics and social sciences; 2019,08

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Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Interorganizational Management & Performance

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Language
English

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Classification (DDC)
330 Economics

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BibTeX

@techreport{Schoop2019, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6411}, author = {Schoop, Mareike and Witt, Josepha and Schmid, Andreas et al.}, title = {Data quality and information loss in standardised interpolated path analysis : quality measures and guidelines}, year = {2019}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }