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SQ

Data: SQ


Description

A data frame containing 23 variables with 411 observations. The original indicators were measured on a 6-point scale. In this version of the dataset, the indidcators are scaled to be between 0 and 100.

Usage

SQ

Format

An object of class data.frame with 411 rows and 23 columns.

Details

The data comes from a European manufacturer of durable consumer goods and was studied by Bliemel et al. (2004) who focused on service quality. It is also used in Henseler (2020) for demonstration purposes, see the corresponding tutorial.

Source

The dataset is provided by Jörg Henseler.

References

Bliemel FW, Adolphs K, Henseler J (2004). “Reconceptualizing service quality. A formative measurement approach using PLS path modeling.” In Munuera-Aleman JL (ed.), Proceedings of the 33rd EMAC Conference, 224.

Henseler J (2020). Composite-Based Structural Equation Modeling: An Introduction to Partial Least Squares & Co. Using ADANCO. Guilford Press.


cSEM

Composite-Based Structural Equation Modeling

v0.4.0
GPL-3
Authors
Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb] (<https://orcid.org/0000-0002-2884-1819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)
Initial release
2021-04-09

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