The DOI matches its Crossref record.
Structural Equation Modeling with LISREL: Essentials and Advances.
Abstract
Hayduk is equally at ease explaining the simplest and most advanced applications of the program ...Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference.
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Citations
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Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq)
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Metadata
- Authors
- Land, K. C., & Hayduk, L. A.
- Venue
- Social Forces
- Publisher
- Oxford University Press (OUP)
- Published
- 1990-09
- Volume
- 69
- Issue
- 1
- Pages
- 338
- ISSN
- 0037-7732 (ISSN-L)
- OpenAlex
- W1984492382
- Cited by
- 1,308
- References
- 0
- FWCI
- 64.47
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Structural Equation Modeling with LISREL: Essentials and Advances. https://app.cochat.ai/papers/10.2307/2579660
- The paper
- Land, K. C., & Hayduk, L. A. (1990). Structural Equation Modeling with LISREL: Essentials and Advances. Social Forces. https://doi.org/10.2307/2579660
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
