Abstract
This contribution is focused on how to write a research paper when structural equation models are being used in empirical work. The main question to be answered is what information should be reported and what results can be deleted without much loss of judgment about the quality of research and the validity of conclusions being made. The major conjecture is that all information should be reported, or referred to, that enables each member of the scientific community, at least in principle, to replicate the analysis as it is published. The recommendations are ordered in the framework of the empirical research cycle. They are meant for authors, in particular students employing structural equation models for their dissertation, as well as for editors and reviewers.
Keywords
ReplicateStructural equation modelingCovarianceConjectureQuality (philosophy)Computer scienceEmpirical researchEconometricsWork (physics)Data scienceData miningManagement scienceMathematicsEpistemologyStatisticsMachine learningEngineeringDiscrete mathematics
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Publication Info
- Year
- 2000
- Type
- article
- Volume
- 7
- Issue
- 3
- Pages
- 461-483
- Citations
- 642
- Access
- Closed
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Cite This
Anne Boomsma
(2000).
Reporting Analyses of Covariance Structures.
Structural Equation Modeling A Multidisciplinary Journal
, 7
(3)
, 461-483.
https://doi.org/10.1207/s15328007sem0703_6
Identifiers
- DOI
- 10.1207/s15328007sem0703_6