Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration
By Adamantios Diamantopoulos, Judy A. Siguaw. 2006
3,427 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/9a90c29021ef661dab27ad012a3b856f8517323c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Nicholas H. Roberts
- Greta L. Polites
- Nils Urbach
- Arun Rai
- Paul Benjamin Lowry
In Strategy and Management
- Christian M. Ringle
- Marko Sarstedt
- M. Schippers
- Joseph F. Hair
- J. Caillier
- Arun Rai
- D. van Knippenberg
- Paul Benjamin Lowry
Citations in the corpus
- The Impact of Human Resource Management Practices and Corporate Sustainability on Organizational Ethical Climates: An Employee Perspective (2013, background): “The difference in casual direction has profound implications for both measurement error and model estimation (Diamantopoulus and Siguaw 2006).”
- Time pressure and team member creativity within R&D projects: The role of learning orientation and knowledge sourcing (2017, background): “30 (Diamantopoulos and Siguaw, 2006), which indicates that there are no serious multicollinearity issues.”
- Marketing measurement revolution: the C-OAR-SE method and why it must replace psychometrics (2011, methodology): “The classification cannot be made empirically, contrary to the approach advocated by psychometricians such as Diamantopoulos and Sigauw (2006)”
- Doing more with less? Employee reactions to psychological contract breach via target similarity or spillover during public sector organizational change (2014, neutral): “It is a formative measure, in which items are not necessarily tightly conceptually related (Coltman et al., 2008; Diamantopoulos & Siguaw, 2006; Diamantopoulos & Winklhofer, 2001).”
- Integration of UTAUT model in internet banking adoption context (2019, background): “3 when comparing with endogenous variables (Diamantopoulos and Siguaw, 2006).”
- Older adults: Are they ready to adopt health-related ICT? (2013, neutral): “5–3 used as multicollinearity utoff value [58,59].”
- Advancing formative measurement models (2008, background): “, 2004) and criterionrelated (Diamantopoulos and Siguaw, 2006; Edwards, 2001; Jarvis et al., 2003) validity.”
- An empirical investigation of employee portal success (2010, methodology): “All the values are below the commonly accepted threshold of 10 (Diamantopoulos and Siguaw, 2006; Gujarati, 2003).”
- Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, background): “…formative dimensions of the construct), then eliminating items from the pool should be theoretically justified rather than merely based on empirical results (Bollen and Lennox 1991; Diamantopoulos and Siguaw 2006; Diamantopoulos and Winklhofer 2001; Diamantopoulos et al. 2008; Petter et al. 2007).”
- Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption (2009, background): “For formative measures, (1) content validity (Straub et al ., 2004), (2) weights (Chin, 1998) and (3) multicollinearity (Diamantopoulos and Siguaw, 2006) should be evaluated.”
- Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research (2020, methodology): “reflective or formative based on its theoretical considerations ([14]; [15]; [20]).”