Problems with formative and higher-order reflective variables
By Nick Lee, J. Cadogan. 2013
185 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/93b702c506b3f9f711e054bc03104a03580ad2fd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Mikko Rönkkö
- John Antonakis
- C. Mcintosh
- Jörg Henseler
- Kai Oliver Thiele
Citations in the corpus
- The MIMIC model and formative variables: problems and solutions (2013, background): “damentally unsound (Lee and Cadogan 2013).”
- Partial least squares path modeling: Time for some serious second thoughts (2016, background): “A better alternative would be to combine the items based on a priori defined index weights (Howell et al., 2013; Lee and Cadogan, 2013), which facilitates clear interpretation of the composite that does not vary”
- Assessing customers' perceived value of the online channel of multichannel retailers: A two country examination (2015, background): “In their work, Mathwick et al. (2001) also distinguish playfulness, aesthetics, customer return on investment (CROI), and service excellence as sources of value which serve as retail performance indicators.”
- Business model innovation and firm performance: Exploring causal mechanisms in SMEs (2021, background): “As all multidimensional constructs, such as BMI in this research, contain different facets, such as value creation, value capturing and value delivery (Lee and Cadogan, 2013), we further justify our methodological choice to consider BMI as a reflective-formative multidimensional construct.”
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017, methodology): “This procedure conforms to the measurement philosophy underlying reflective measurement models, which, in essence, is why factor-based SEM has limitations when it comes to estimating formatively specified constructs (e.g., Lee and Cadogan 2013).”