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ResearchPaper
2019
Data quality and information loss in standardised interpolated path analysis : quality measures and guidelines
Data quality and information loss in standardised interpolated path analysis : quality measures and guidelines
Schoop, Mareike Witt, Josepha Schmid, Andreas Melzer, Philipp Kaya, Muhammed Lenz, Annika
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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Notes
Publication license
Publication series
Hohenheim discussion papers in business, economics and social sciences; 2019,08
Published in
Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Interorganizational Management & Performance
Examination date
Supervisor
Edition / version
Citation
Identification
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
330 Economics
Original object
Free keywords
Standardized keywords (GND)
Sustainable Development Goals
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},
}