Confirmatory composite analysis using partial least squares: setting the record straight

Schuberth, Florian

doi:10.1007/s11846-020-00405-0

Cited by 78 publications

(87 citation statements)

References 78 publications

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“…1 1 Another six related papers published in a parallel special issue of the Review of Managerial Science on ‘Marketing and Design’: Chen (2021) investigates the cultural product innovation strategy of performing arts organizations; Motta‐Filho (2021) introduces the concept of the brand experience manual; Palos‐Sanchez, Saura, and Correia (2021) identify antecedents of tourists' acceptance of mobile tourism apps; Scholz, Redler, and Pagel (2021) explore the influence of shopping companions in retail sales conversations; Idemen, Elmadag, and Okan (2021) investigate the effects of designers as product cues; and finally, Schuberth (2021) presents confirmatory composite analysis as a multivariate statistical method that can combine behavioural and design research.…”

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confidence: 99%

Design and marketing: Intersections and challenges

Henseler

Guerreiro

2020

Creat Innov Manage

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This editorial article reports on interdisciplinary research being conducted at the interface between the scientific disciplines of marketing and design. It reviews the 11 academic papers from the special issue situated at this intersection, thereby showing the richness of research happening in this liminal area. At the same time, the paper observes how the disciplines' different scopes as well as their different modi operandi inhibit the collaboration between marketing and design research. Whereas marketing largely follows the paradigm of empirical realism asking how the current world works, design largely follows the pragmatist paradigm asking how a future world can be shaped. Finally, this paper contains a number of suggestions on how to foster cooperation between the two disciplines.

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confidence: 99%

Design and marketing: Intersections and challenges

Henseler

Guerreiro

2020

Creat Innov Manage

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“…The need for updated guidelines for models containing composites of composites in the context of explanatory and confirmatory research is additionally emphasized by our simulation design. Similar to Schuberth (2021), it shows on the population level that existing guidelines, which neglect overall model fit assessment and focus mainly on measurement quality evaluation (e.g. Sarstedt et al , 2019; Hair et al , 2020, 2019a; 2017a, b; Ramayah et al , 2016; Becker et al , 2012), are unable to detect incorrectly specified models that would have been detected through overall model fit assessment.…”

Section: Discussion and Future Researchmentioning

confidence: 87%

Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites

Schuberth

Rademaker

Henseler

2020

IMDS

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PurposeThe purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to compare the performance of the PLS-PM approaches in this context, (2) to provide and evaluate two testing procedures to assess the overall fit of such models and (3) to introduce user-friendly step-by-step guidelines.Design/methodology/approachA simulation is conducted to examine the PLS-PM approaches and the performance of the two proposed testing procedures.FindingsThe simulation results show that the two-stage approach, its combination with the repeated indicators approach and the extended repeated indicators approach perform similarly. However, only the former is Fisher consistent. Moreover, the simulation shows that guidelines neglecting model fit assessment miss an important opportunity to detect misspecified models. Finally, the results show that both testing procedures based on the two-stage approach allow for assessment of the model fit.Practical implicationsAnalysts who estimate and assess models containing composites of composites should use the authors’ guidelines, since the majority of existing guidelines neglect model fit assessment and thus omit a crucial step of structural equation modeling.Originality/valueThis study contributes to the understanding of the discussed approaches. Moreover, it highlights the importance of overall model fit assessment and provides insights about testing the fit of models containing composites of composites. Based on these findings, step-by-step guidelines are introduced to estimate and assess models containing composites of composites.

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“…Although CCA is an independent analysis approach, some scholars tried to embed it as an evaluation step of PLS-SEM [71]. This attempt has been criticized, as there is no evidence of its efficacy [164].…”

Section: Recent Developments Of Pls-semmentioning

confidence: 99%

PLS-SEM for Software Engineering Research

2021

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Software Engineering (SE) researchers are increasingly paying attention to organizational and human factors. Rather than focusing only on variables that can be directly measured, such as lines of code, SE research studies now also consider unobservable variables, such as organizational culture and trust. To measure such latent variables, SE scholars have adopted Partial Least Squares Structural Equation Modeling (PLS-SEM), which is one member of the larger SEM family of statistical analysis techniques. As the SE field is facing the introduction of new methods such as PLS-SEM, a key issue is that not much is known about how to evaluate such studies. To help SE researchers learn about PLS-SEM, we draw on the latest methodological literature on PLS-SEM to synthesize an introduction. Further, we conducted a survey of PLS-SEM studies in the SE literature and evaluated those based on recommended guidelines.

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Confirmatory composite analysis using partial least squares: setting the record straight

Cited by 78 publications

References 78 publications

Design and marketing: Intersections and challenges

Design and marketing: Intersections and challenges

Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites

PLS-SEM for Software Engineering Research

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