The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
semTools: Useful Tools for Structural Equation Modeling
Open accessAbstract
Provides miscellaneous tools for structural equation modeling, many of which extend the 'lavaan' package. For example, latent interactions can be estimated using product indicators (Lin et al., 2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed; analytical power analyses can be conducted (Jak et al., 2021, <doi:10.3758/s13428-020-01479-0>); and scale reliability can be estimated based on estimated factor-model parameters.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Chen, F. F. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701301834 · Cited by 12,217
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
The Performance of RMSEA in Models With Small Degrees of Freedom
Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015) · Sociological Methods & Research · doi:10.1177/0049124114543236 · Cited by 2,841
Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-015-0455-4 · Cited by 2,111
Advantages of Monte Carlo confidence intervals for indirect effects
Preacher, K. J., & Selig, J. P. (2012) · Communication Methods and Measures · doi:10.1080/19312458.2012.679848 · Cited by 1,908
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Metadata
- Authors
- Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2012-05-18
- OpenAlex
- W4399583329
- Cited by
- 603
- References
- 15
- Type
- dataset
- Language
- en
- Open access
- gold
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- The paper
- Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2012). semTools: Useful Tools for Structural Equation Modeling. CRAN: Contributed Packages. https://doi.org/10.32614/cran.package.semtools
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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.
