Conceptualizing and testing formative constructs: tutorial and annotated example
By Nicholas H. Roberts, Jason Bennett Thatcher. DATB, 2009
328 citations recorded by the source corpus.
Subfields: Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/f5e267b5a69f55fc686e9810d9191cc8471f578e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Varun Grover
- Nicholas H. Roberts
- Greta L. Polites
- Thomas A. Schmitt
- M. Hanafiah
- Jason Bennett Thatcher
- Elena Lvina
- Carol-Ann Tetrault Sirsly
In Management Science and Operations Research
- Varun Grover
- Nicholas H. Roberts
- Greta L. Polites
- Thomas A. Schmitt
- M. Hanafiah
- Jason Bennett Thatcher
- Elena Lvina
- Carol-Ann Tetrault Sirsly
Citations in the corpus
- Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis (2011, background): “Roberts and Thatcher (2009), and Brown (2006) provide overviews for fitting models with formative indicators.”
- From Doing Good to Looking Even Better: The Dynamics of CSR and Reputation (2019, background): “review (Walker, 2010) endorsing Wartick’s (2002) contention that Fombrun’s definition is the one generally accepted in management.”
- Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research (2020, background): “The item weights indicate whether or not an indicator can explain a significant portion of the variance of a formative construct ([36]; [37]).”
- 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.”
- Conceptualizing models using multidimensional constructs: a review and guidelines for their use (2012, methodology): “Similarly, SEM tutorials have focused on how to evaluate models using first-order constructs (Gefen et al, 2000; Gefen, 2004; Roberts & Thatcher, 2009).”