When to use and how to report the results of PLS-SEM

@article{Hair2019WhenTU,
  title={When to use and how to report the results of PLS-SEM},
  author={Joseph F. Hair and Jeffrey J. Risher and Marko Sarstedt and Christian M. Ringle},
  journal={European Business Review},
  year={2019}
}
Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons for choosing PLS-SEM, recommended sample size in selected contexts, distributional assumptions, use of secondary data, statistical power and the need for goodness-of-fit testing. Next, the metrics as well… 

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References

SHOWING 1-10 OF 124 REFERENCES

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

TLDR
Clear guidelines for using PLSpredict are offered, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses and the key choices researchers need to make using the procedure are explained.

Chapter 29 Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach

TLDR
The aim of this paper is to develop a guide for the evaluation of structural equation models, using the current statistical methods method- ological knowledge by specifically considering the Partial-Least-Squares (PLS) approach's requirements.

Gain more insight from your PLS-SEM results: The importance-performance map analysis

TLDR
This paper is the first to offer researchers a tutorial and annotated example of an IPMA, and is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications.

Using PLS path modeling in new technology research: updated guidelines

TLDR
This paper presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations, and updated guidelines of how to use PLS and how to report and interpret its results.

Rethinking some of the rethinking of partial least squares

TLDR
This paper combines literature from various disciplines, including marketing, strategic management, information systems, accounting and statistics, to present a state-of-the-art review of PLS-SEM, and offers guidance on how to consider the latest methodological developments when executing or assessing PLS -SEM-based research.

Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research

Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of

An assessment of the use of partial least squares structural equation modeling in marketing research

TLDR
An extensive search in the 30 top ranked marketing journals allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010), and a critical analysis of these articles addresses the following key methodological issues: reasons for using PLS, data and model characteristics, outer and inner model evaluations, and reporting.

An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research

TLDR
This work systematically examines how PLS-SEM has been applied in major hospitality research journals with the aim of providing important guidance and, if necessary, opportunities for realignment in future applications.

On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations

TLDR
It is argued that researchers’ functional background and adherence to a specific position in philosophy of science contribute to the confusion over which method is “right” and which one is ‘wrong’ and researchers should instead focus on more fundamental aspects of modeling, measurement, and statistical analysis.

Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models

TLDR
This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM) by challenging the conventional approach to mediation analysis and providing more accurate alternatives.
...