A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research

In partial least squares structural path modelling, the reflective–formative type of hierarchical component models (HCMs) (also known as Higher-Order Model) have become a popular choice for researchers. However, current approaches to estimate the reflective–formative type of HCM are ambiguous especi...

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Bibliographic Details
Published in:Quality & quantity 2019-05, Vol.53 (3), p.1421-1458
Main Authors: Cheah, Jun-Hwa, Ting, Hiram, Ramayah, T., Memon, Mumtaz Ali, Cham, Tat-Huei, Ciavolino, Enrico
Format: Article
Language:English
Subjects:
Ambiguity
Business
Endogenous
Goodness of fit
Internet
Mediation
Mediators
Methodology of the Social Sciences
Morality
Predictions
Researchers
Social Sciences
Stimulus
Tourism
Travel industry
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Summary:In partial least squares structural path modelling, the reflective–formative type of hierarchical component models (HCMs) (also known as Higher-Order Model) have become a popular choice for researchers. However, current approaches to estimate the reflective–formative type of HCM are ambiguous especially when used as an endogenous construct or a mediator. This paper presents a comparison between five different approaches (repeated indicator, two types of two-stage, hybrid, and improved repeated indicator) with two different estimation modes (Mode A and Mode B) when modelling a mediator construct of a reflective–formative HCM in the structural model. By using a model based on stimulus–organism-response theory, an empirical application to the tourism field is adopted in this study. The proposed HCM model examines perceived relative advantages as a mediation of the relationship between Communicability and Intention to Purchase Travel Online. The findings suggest that the improved repeated indicator approach with Mode B estimation yields better path coefficients, goodness of fit, explained variance, and predictive relevance as compared to other approaches. The study provides valuable recommendations and guidelines for tourism researchers to properly conduct an HCM analysis.
ISSN:0033-5177
1573-7845
DOI:10.1007/s11135-018-0821-7