Representing general theoretical concepts in structural equation models: the role of composite variables
By J. Grace, Kenneth A. Bollen. Environmental and Ecological Statistics, 2008
268 citations recorded by the source corpus.
Subfields: Ecological Modeling, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/b5bec4e0b44c2bd5d63a9b4e0998ac9571dc4c96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- E. Lamb
- S. Siciliano
- G. Guntenspergen
- B. Mitchell
- A. Little
- D. Schoolmaster
- K. Miller
- E. W. Schweiger
In Nature and Landscape Conservation
- E. Lamb
- S. Siciliano
- G. Guntenspergen
- B. Mitchell
- A. Little
- D. Schoolmaster
- K. Miller
- E. W. Schweiger
Citations in the corpus
- Incorporating Formative Measures into Covariance-Based Structural Equation Models (2011, background): “…( η ) variables but they are endogenous variables whose realizations (estimates) are completely determined by the variables that influence them” (Grace and Bollen 2008, p. 201); its formal specification is shown in equation (2) below: The measurement model in equation (2) is consistent…”
- Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, background): “The acronyms in the models are photosynthetically active radiation (PAR), air temperature (Ta), soil temperature (Ts), net ecosystem exchange (NEE), and respiration (Re) latent and observable variables, Grace and Bollen (2008) introduced composite variables for ecological applications of SEM.”
- Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “’’ However, in cases where a construct is an aggregate concept or ‘‘ collection of things ’’ , it may be best modeled using causal indicators and the construct represented in the SE model using composite variables (Grace and Bollen 2008).”
- Justice from within: The relations between a procedurally just organizational climate and police organizational efficiency, endorsement of democratic policing, and officer well-being. (2016, methodology): “Following the recommendations of Grace and Bollen (2008), this formative index was represented by a hexagon in the path diagrams to help distinguish it from the reflective latent variables (represented with circles) and the observed indicators (represented with rectangles).”
- Spatially explicit structural equation modeling (2014, background): “Recent methodological advances have opened broad possibilities for the modeling of nonlinear relationships and other complex data structures (e.g., Grace and Bollen 2008, Shipley 2009, Clough 2012, Grace et al. 2012), but data with a spatial component remains difficult to model in a SEM framework.”
- On the specification of structural equation models for ecological systems. (2010, background): “9, which explains why the results are so similar (Grace and Bollen 2008).”