The error term in formative measurement models: interpretation and modeling implications
By Adamantios Diamantopoulos. 2006
370 citations recorded by the source corpus.
Subfields: Accounting, Education, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/a15b5a23dd2c5d7788478a7e192cf7e55e4b49d5
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In Accounting
- Marko Sarstedt
- Christian M. Ringle
- J. Edwards
- Joseph F. Hair
- Florian Schuberth
- Adamantios Diamantopoulos
- Jörg Henseler
- Arun Rai
In Education
- J. Edwards
- Christian M. Ringle
- Marko Sarstedt
- D. Georgi
- Karsten Hadwich
- M. Bruhn
- Jörg Henseler
- Arun Rai
In Management Science and Operations Research
- Christian M. Ringle
- Marko Sarstedt
- Jörg Henseler
- Joseph F. Hair
- Florian Schuberth
- J. Edwards
- Nicholas H. Roberts
- S. M. Rasoolimanesh
Citations in the corpus
- The moderating role of past experience in the formation of a tourist destination's image and in tourists’ behavioural intentions (2013, background): “To identify the model, the variance error of the cognitive image was fixed at zero (Diamantopoulos, 2006 ; Diamantopoulos & Winklhofer, 2001 ).”
- Advancing formative measurement models (2008, background): “Since formative indicators determine the meaning of the latent variable, it is not possible to separate the construct's meaning from the indicators' content (Diamantopoulos, 2006).”
- Deconstructing the construct: A network perspective on psychological phenomena (2013, background): “…& Podsakoff, 2003;Wilcox, Howell, & Breivik, 2008), the status of the error term in formative models (Coltman, Devinney, Midgley, & Venaik, 2008; Diamantopoulos, 2006; Edwards, 2011), model selection (e.g. Baxter, 2009; Diamantopoulos & Siguaw, 2006; Jarvis et al., 2003), referential…”
- Specifying Formative Constructs in Information Systems Research (2007, background): “…as a “concept, model, or schematic idea” We agree with this broader definition of the term construct and, for simplicity, we refer to composite variables as formative constructs, consistent with the literature in this domain (e.g., Diamantopoulos 2006; Jarvis et al. 2003; MacKenzie et al. 2005).”
- The Use of Partial Least Squares Path Modeling in International Marketing (2009, background): “combination of its indicators plus a disturbance term (Diamantopoulos, 2006).”
- Incorporating Formative Measures into Covariance-Based Structural Equation Models (2011, background): “…by the following equation: where η is the latent variable representing the focal construct, γ i (i = 1, 2, …, n) is a parameter capturing the impact of indicator x i on η , and ζ is a disturbance term capturing all remaining causes on η not represented by the indicatorsFi (Diamantopoulos 2006).”
- Integration of Financial and Management Accounting Systems: The Mediating Influence of a Consistent Financial Language on Controllership Effectiveness (2011, background): “However, as Diamantopoulos (2006) points out, this approach is legitimate if all possible indicators of a construct can be conceivably specified.”
- Testing measurement invariance of composites using partial least squares (2016, background): “Therefore, latent variables measured with causal indicators have an error term (Figure 1) that captures all the other causes of the latent variable not included in the model (Diamantopoulos, 2006).”
- Interfirm Strategic Information Flows in Logistics Supply Chain Relationships (2009, background): “In fact, multicollinearity among formative indicators can result in nonsignificant items (Diamantopoulos 2006), as multiple indicators may identify the same aspect of a construct (Petter et al.”
- The MIMIC model and formative variables: problems and solutions (2013, background): “The specification advocated in most of the literature on formative variables (e.g. Bollen and Lennox 1991; Diamantopoulos 2006; Diamantopoulos and Winklhofer 2001; Jarvis et al. 2003) is”