An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM

By W. Reinartz, Michael Haenlein, Jörg Henseler. 2009

3,098 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/c67fe880a5df7341ab2a25c2b4402436da4e66d8

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Citations in the corpus

On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017, methodology): “From this view, differences between CB-SEM and PLS-SEM, which typically occur at the second decimal place when the data stem from a factor model population (e.g., Reinartz et al., 2009; Sarstedt et al., 2016), are of little relevance.”
Entrepreneurial orientation and SME international performance: The mediating role of networking capability and experiential learning (2019, background): “PLS is a variancebased structural equation modelling (SEM) useful for exploring the relationship between latent variables and for explaining variance in firm performance (Reinartz et al., 2009), especially when the sample size is relatively small (Hair et al., 2013).”
A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study (2013, methodology): “While there are a few studies comparing CBSEM and PLS under various sets of design factors (Reinartz et al., 2009; Areskoug, 1982; Goodhue, Lewis, & Thompson, 2006), none of them have focused on bootstrapping behaviors of the estimation methods used.”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, methodology): “Similar to the loadings, variance-based SEM methods generally underestimate structural model relationships (e.g., Reinartz et al. 2009; Marcoulides, Chin, and Saunders 2012).”
COVID-19, frontline hotel employees’ perceived job insecurity and emotional exhaustion: Does trade union support matter? (2021, methodology): “Compared to the traditional covariance-based structural equation model, PLS-SEM tends to achieve higher statistical power levels under similar conditions and is applicable even in the case of data non-normality and small sample sizes (Reinartz et al., 2009).”
An assessment of the use of partial least squares structural equation modeling in marketing research (2011, methodology): “Several researchers stress that PLS-SEM generally works with nominal, ordinal, interval, and ratio scaled variables (e.g., Fornell and Bookstein 1982; Haenlein and Kaplan 2004; Reinartz et al. 2009 ).”
Speed or quality? How the order of market entry influences the relationship between market orientation and new product performance (2011, methodology): “Because of the ability of partial least squares (PLS) to handle small sample sizes (Reinartz et al., 2009), we re-estimated the model using this technique.”
Why generalized structured component analysis is not universally preferable to structural equation modeling (2012, methodology): “…should resort to the ample support provided by a plethora of conceptual, empirical, and simulation-based comparisons of structural equation modeling techniques (e.g., Dijkstra 1983; Fornell and Bookstein 1982; Lu et al. 2011; Reinartz et al. 2009) to make deliberate choices among their options.”