Incorporating Formative Measures into Covariance-Based Structural Equation Models

By Adamantios Diamantopoulos. MIS Q., 2011

313 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f0eaf15a0c73fedfdcece9e629c9ac87e47b843d

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Citations in the corpus

Visitors’ Emotional Responses to the Festival Environment (2014, methodology): “Subsequent data analysis involved testing the measurement and structural model consisting of the composite latent constructs with both formative and reflective indicators in SIMPLIS (SIMPLIS Technologies, Inc., Portland, OR, USA; Diamantopoulos, 2011).”
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, methodology): “However, automatically relying on PLS-SEM when using formative measures is not without its own problems, particularly because PLS-SEM is restricted to estimating formative constructs sans error terms (Diamantopoulos 2011).”
Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience (2018, background): “The results indicate that the VIF values for all constructs are below the suggested criteria threshold of 10 and the more stringent threshold of 3, suggesting that multicollinearity is not a concern [72].”
Partial least squares path modeling: Time for some serious second thoughts (2016, unknown): “However, PLS involves replacing latent variables with composites, resulting in estimation of a misspecified model (Bollen and Diamantopoulos, 2015; Diamantopoulos, 2011).”
The Impact of Organizational Commitment on Insiders’ Motivation to Protect Organizational Information Assets (2015, methodology): “Briefly, this assessment was accomplished via a multiple indicators and multiple causes (MIMIC) model, which is a construct modeled to have both formative and reflective components [15, 26, 79].”
Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation (2012, methodology): “7 We followed recommended guidelines for testing interaction effects in EQS [59]. table 3 details our results.”
Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014, methodology): “Third, 2G techniques should be used to analyze path models under the following conditions: if the entire model is formative (either CB-SEM or PLS can theoretically be used, but the analysis for CB-SEM is challenging and still has some issues [90]), if a model is mixed between formative and reflectiv”
Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016, methodology): “Similarly, CBSEM can accommodate formativemeasurementmodels with composite indicators (e.g., Diamantopoulos, 2011).”
The effects of technostress within the context of employee use of ICT (2014, methodology): “33 threshold recommended by Diamantopoulos and Siguaw (2006). There were, however, only three indicators out of 32 that had a VIF value above 3.”
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020, methodology): “To obtain an identified causal–formative measurement model, the latent variable must be connected to at least two other variables not affecting the latent variable [18], for example, using a multiple-indicators, multiple-causes (MIMIC) model.”