Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations

By Ned Kock, Gary S. Lynn. Journal of the AIS, 2012

3,793 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/a2a21158e30e23c3dae2706b2ca92f45b432209a

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Citations in the corpus

Understanding the impact of social media usage among organizations (2017, methodology): “The full collinearity test is a comprehensive procedure for simultaneous assessment of both vertical collinearity (predictor–predictor collinearity) and lateral collinearity (predictorcriterion collinearity) [63].”
Linking Corporate Social Responsibility to Customer Loyalty through Co-Creation and Customer Company Identification: Exploring Sequential Mediation Mechanism (2020, background): “WarpPLS 6 also calculates full collinearity by tracking any constructs vertical and lateral collinearity concerning other constructs, and this value also needs to be less than 5 [70,71].”
The effects of corporate social responsibility on consumer loyalty through consumer perceived value (2019, background): “In the context of PLS-SEM, a VIF value of 5 or higher, which implies that 80% of the variance of an indicator is due to the other training indicators related to the same construct, indicates possible multicollinearity problems (Dennis et al., 2017; Hair et al., 2011; Kock, 2015, Kock & Lynn, 2012).”
Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “The allowable range of values of VIF is 3.3–5 (Kock & Lynn, 2012).”
The role of brand attachment strength in higher education (2016, positive): “Kock and Lynn (2012) recommend an upper variance inflation factor (VIF) threshold of 5 for SEM models of this type.”
Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods (2018, methodology): “These indirectly measured variables are generally known as latent variables (Kline, 1998; Kock & Lynn, 2012).”
Entrepreneurial passion and entrepreneurial intention: the role of social support and entrepreneurial self-efficacy (2020, positive): “To further ascertain that CMV was not a problem, SmartPLS software was used to conduct a full collinearity test to check for CMV.”
The role of consumer-consumer interaction and consumer-brand interaction in driving consumer-brand engagement and behavioral intentions (2021, positive): “CMB was checked using the full collinearity assessment suggested by Kock and Lynn (2012).”
The influence of a digital strategy on the digitalization of new ventures: The mediating effect of digital capabilities and a digital culture (2021, background): “He argues that the threshold for common method variance is a VIF higher than 3.3 (Kock, 2015; Kock & Lynn, 2012).”
Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review (2020, neutral): “This modeling technique is particularly suitable in the social sciences where mostly the key concepts are not openly observable and are inherently latent generally defined as latent variables (Kline, 1998; Kock & Lynn, 2012).”
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA (2023, neutral): “We employed two techniques to investigate CMB: Harman ’ s single-factor test (Harman, 1976) and the full collinearity test (Kock & Lynn, 2012).”