Cited by 1,327Psychometric Methodologies and TestingAdvanced Statistical Methods and ModelsStatistical Methods and Applications

Partial Least Squares Strukturgleichungsmodellierung: Eine anwendungsorientierte Einführung

Hair, Joseph F., Hauff, Sven, Hult, G. Tomas M., Richter, Nicole F., Ringle, Christian M., Sarstedt, Marko·2017·Vahlen eBooks

Abstract

Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.

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Crossref · 10.15358/9783800653614

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Authors
Hair, J. F., Hauff, S., Hult, G. T. M., Richter, N. F., Ringle, C. M., & Sarstedt, M.
Venue
Vahlen eBooks
Published
2017
OpenAlex
W2579832268
Cited by
1,327
References
0
Citations by year
2026: 105 · 2025: 146 · 2024: 146 · 2023: 193 · 2022: 145 · 2021: 299 · 2020: 157 · 2019: 78 · 2018: 47 · 2017: 10 · 2016: 1
FWCI
51.07
Type
book
Language
de
Open access
closed
Locations
Vahlen eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
partial least squares structural equation modeling, PLS-SEM, causal models, causal inference, econometric methods, social science research

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