Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Partial Least Squares: The Gestation Period Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

8. Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples

verfasst von : Gabriel Cepeda Carrión, Christian Nitzl, José L. Roldán

Erschienen in: Partial Least Squares Path Modeling

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Partial least squares structural equation modeling (PLS-SEM) is one of the options used to analyze mediation effects. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediation effects in PLS-SEM, which can lead to erroneous results in some cases. One reason for the use of outdated methods is that PLS-SEM tutorials do not draw on the newest statistical findings. This chapter illustrates how to perform modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing better alternatives.
These novel methods offer a wide range of testing options (e.g., multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers to discuss their studies in a more accurate way. This chapter seeks to illustrate and help to operationalize the mediation in Nitzl et al.’s (Indus Manag Data Syst 116:1849–1864, 2016) paper about mediation in PLS, published in Industrial Management & Data Systems, with examples of two potential mediations: a multiple mediation with two mediators and a multistep multiple mediation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation
Nächstes Kapitel Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach
Literatur
Aguinis, H., Edwards, J. R., & Bradley, K. J. (2017). Improving our understanding of moderation and mediation in strategic management research. Organizational Research Methods (forthcoming).
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.CrossRef
Cegarra, J. G., & Sánchez, M. T. (2008). Linking the individual forgetting context with customer capital from a seller’s perspective. The Journal of the Operational Research Society, 59, 1614–1623.CrossRefMATH
Chernick, M. R. (2011). Bootstrap methods: A guide for practitioners and researchers. New York: Wiley.CrossRefMATH
Cheung, G. W., & Lau, R. S. (2008). Testing mediation and suppression effects of latent variables: Bootstrapping with structural equation models. Organizational Research Methods, 11(2), 296–325.CrossRef
Chin, W. W., Kim, Y. J., & Lee, G. (2013). Testing the differential impact of structural paths in PLS analysis: A bootstrapping approach. In H. Abdi et al. (Eds.), New perspectives in partial least squares and related methods, Springer proceedings in mathematics and statistics (Vol. 56, pp. 221–229). New York: Springer.CrossRef
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Pearson/Prentice Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.MATH
Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408–420.CrossRef
Hayes, A. F., & Scharkow, M. (2013). The relative trustworthiness of inferential test of the indirect effect in statistical mediation analysis: Does method rally matter? Psychological Science, 24(10), 1918–1927.CrossRef
Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of Advertising, 46(1), 178–192.CrossRef
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), Advances in International Marketing (Vol. 20, pp. 277–320). Bingley: Emerald.CrossRef
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20.CrossRef
Iacobucci, D., Saldanha, N., & Deng, X. (2007). A mediation on mediation: Evidence that structural equation models perform better than regression. Journal of Consumer Psychology, 17(2), 140–154.CrossRef
Jansen, J. J. P., George, G., van den Bosch, F. A. J., & Volberda, H. W. (2008). Senior team attributes and organizational ambidexterity: The moderating role of transformational leadership. Journal of Management Studies, 45(5), 982–1007.CrossRef
Jones, E., Sundaram, S., & Chin, W. W. (2002). Factors leading to sales force automation use: A longitudinal analysis. Journal of Personal Selling & Sales Management, 22, 145–156.
Lau, R. S., & Cheung, G. W. (2012). Estimating and comparing specific mediation effects in complex latent variable models. Organizational Research Methods, 15(1), 3–16.CrossRef
Lu, Y., & Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4), 931–954.CrossRef
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614.CrossRef
Mathieu, J. E., DeShon, R. P., & Bergh, D. D. (2008). Mediational inferences in organizational research: Then, now, and beyond. Organizational Research Methods, 11(2), 203–223.CrossRef
Nitzl, C., Roldan, J. L., & Cepeda-Carrion, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864.CrossRef
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.CrossRef
Quinn, R. E., & Rohrbaugh, J. (1983). A spatial model of effectiveness criteria: Towards a competing values approach to organizational analysis. Management Science, 29(3), 363–377.CrossRef
Rigdon, E. (2016). Choosing PLS path modeling as analytical method in European Management Research: A realist perspective. European Management Journal, 34(6), 598–605.CrossRefMathSciNet
Rodríguez-Entrena, M., Schuberth, F., & Gelhard, C. (2016). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality and Quantity, 1–13.
Roldán, J. L., Cegarra, J. G., & Cepeda, G. (2014). Building organisational agility through an unlearning Context. European Conference on Knowledge Management, 2, 834–842.
Roldán, J. L., Sanchez-Franco, M. J., & Real, J. C. (2017). From frequency of use to social integration: The mediation of routinization and infusion in Tuenti community. European Research on Management and Business Economics, 23(2), 63–69.CrossRef
Rucker, D. D., Preacher, K. J., Tormala, Z. L., & Petty, R. E. (2011). Mediation analysis in social psychology: Current practices and new recommendations. Social and Personality Psychology Compass, 5(6), 359–371.CrossRef
Shmueli, G., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2016). The elephant in the room: Evaluating the predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564.CrossRef
Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and non-experimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445.CrossRef
Sundaram, S., Schwarz, A., Jones, E., & Chin, W. W. (2007). Technology use on the front line: How technology enhances individual performance. Journal of the Academy of Marketing Science, 35, 101–112.CrossRef
Williams, J., & MacKinnon, D. P. (2008). Resampling and distribution of the product methods for testing indirect effects in complex models. Structural Equation Modeling, 15(1), 23–52.CrossRefMathSciNet
Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. doi:10.​1086/​651257.CrossRef
Metadaten
Titel
Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples
verfasst von
Gabriel Cepeda Carrión
Christian Nitzl
José L. Roldán
Copyright-Jahr
2017
Buch
Partial Least Squares Path Modeling

Print ISBN: 978-3-319-64068-6

Electronic ISBN: 978-3-319-64069-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-64069-3_8

Premium Partner

    Bildnachweise