An Ontology of Structural Equation Models with Application to Computer Self-Efficacy
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Summary
The paper explores the consequences for the relationships between latent and manifest variables using the computer self-efficacy (CSE) construct as an illustrative example and establishes a clear separation of theoretical and statistical models by introducing the notions of system inputs and outputs.
- Type
- article
- Published
- 2012-01-01
- Cited by
- 2
- References
- 33
- OpenAlex
- https://openalex.org/W2099801405
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15152899
Keywords
Structural equation modeling, Construct (python library), Latent variable, Formative assessment, Computer science
References
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- Advancing formative measurement models
- Reconsidering formative measurement.
- Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research
- Index Construction with Formative Indicators: An Alternative to Scale Development
- Two Rules of Identification for Structural Equation Models
- On the ontological expressiveness of information systems analysis and design grammars
- Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework
- Organizational Theories: Some Criteria for Evaluation
- Interpretational confounding is due to misspecification, not to type of indicator: comment on Howell, Breivik, and Wilcox (2007).
- Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*
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