The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Using structural equation modeling to investigate relationships among ecological variables
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“SEM is a multicomponent statistical process which can allow researchers to construct theoretical models, such as the CBPM, and test to see if the relationships set out in such theories fit a dataset, providing evidence for, or against, the theory as being a useful explanatory framework (Malaeb et al., 2000).”
From Testing Mindfulness Mechanisms of Action on the Stress and Burnout of Social Workers (2024) · cites this paper as Malaeb et al., 2000
Citations
Cites
Structural Equations with Latent Variables
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Long, E. R., MacDonald, D. D., Smith, S. L., & Calder, F. D. (1995) · Environmental Management · doi:10.1007/bf02472006 · Cited by 4,331
Book Review: Structural Equation Modeling: Concepts, Issues, and Applications
Rigdon, E. E., & Hoyle, R. H. (1997) · Journal of Marketing Research · doi:10.2307/3151904 · Cited by 4,088
The Method of Path Coefficients
Wright, S. (1934) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177732676 · Cited by 2,388
Structural Equation Modeling with LISREL
Hayduk, L. A. (1988) · Johns Hopkins University Press eBooks · doi:10.56021/9780801834783 · Cited by 1,874
The Analysis of Covariance Structures: Goodness-of-Fit Indices
HOELTER, J. W. (1983) · Sociological Methods & Research · doi:10.1177/0049124183011003003 · Cited by 1,624
Advanced Structural Equation Modeling
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Land, K. C., & Hayduk, L. A. (1990) · Social Forces · doi:10.2307/2579660 · Cited by 1,313
Research works printed but not linked: 4
- Boesch, D.F. and Rosenberg, R. (1981) Response to stress in marine benthic communities. In Stress effects on natural ecosystems, G.W. Barret and R. Rosenberg (eds), John Wiley & Sons, New York, pp. 179-200.
- Diaz, R.J. and Rosenberg, R. (1996) The influence of sediment quality on functional aspects of marine benthic communities. In Development and progress in sediment quality assessment rationale, challenges, techniques and strategies Ecovision World of Monograph Series, M. Munawar and G. Dave (eds), Academic Publishing, Amsterdam, pp. 57-68.
- Hoyle, R.H. (1995) (eds) Structural Equation Modeling, Concepts, Issues, and Applications, Sage, Newbury Park, CA.
- Joreskog, K.G. (1977) Structural equation models in the social sciences Specification, estimation and testing. In Applications of Statistics, P. Krishnaiah (eds), North-Holland Publishing Co., Amsterdam, pp. 265-87.
Cited by
Sorted by citations
Wisz, M. S., Pottier, J., Kissling, W. D., Pellissier, L., Lenoir, J., Damgaard, C. F., Dormann, C. F., Forchhammer, M. C., Grytnes, J., Guisan, A., et al. (2013) · Biological Reviews · doi:10.1111/j.1469-185x.2012.00235.x · Cited by 1,769
Indirect effects of contaminants in aquatic ecosystems
Fleeger, J. W., Carman, K. R., & Nisbet, R. M. (2003) · The Science of The Total Environment · doi:10.1016/s0048-9697(03)00141-4 · Cited by 965
Ali, A., Yan, E., Chen, H. Y. H., Chang, S. X., Zhao, Y.-T., Yang, X., & Xu, M. (2016) · Biogeosciences · doi:10.5194/bg-13-4627-2016 · Cited by 237
“For the selection of the best SEM, several tests were used to assess the model fit of all SEMs (Malaeb et al., 2000), i.e., the Chi-square ( χ 2 ) test, goodness-of-fit index (GFI), comparative fit index (CFI), standardized root mean square residual (SRMR) and AIC.”
Confirmatory Composite Analysis
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02541 · Cited by 225
Exploring ecological patterns with structural equation modeling and Bayesian analysis
Arhonditsis, G. B., Stow, C. A., Steinberg, L. J., Kenney, M. A., Lathrop, R. C., McBride, S. J., & Reckhow, K. H. (2005) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.07.028 · Cited by 207
“Thus, our trategy differs from the usual two-step approach, here SEM development starts with testing the fit of he measurement models to the data and then proceeds o the structural equation model (Anderson and Gerbng, 1992; Malaeb et al., 2000).”
BackgroundMethodInfluential
Metadata
- Authors
- Malaeb, Z. A., Summers, J. K., & Pugesek, B. H.
- Affiliations
- United States Geological Survey (US)
- Environmental Protection Agency (US)
- ORCID
- Summers, J. Kevin
- Venue
- Environmental and Ecological Statistics
- Published
- 2000-03
- Volume
- 7
- Issue
- 1
- Pages
- 93-111
- ISSN
- 1352-8505 (ISSN-L)
- 1573-3009
- OpenAlex
- W1574417742
- Cited by
- 178
- References
- 22
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 19 · 2023: 11 · 2022: 16 · 2021: 11 · 2020: 12 · 2019: 4 · 2018: 10 · 2017: 13 · 2016: 7 · 2015: 5 · 2014: 5 · 2013: 5 · 2012: 9
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Environmental and Ecological Statistics (publishedVersion)
- Funders
- U.S. Environmental Protection Agency
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality and Pollution Assessment
- Keywords
- sediment contamination, natural variation, biodiversity, growth potential, estuarine ecosystems, indirect effects, latent variables, environmental monitoring, ecosystem health
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- CoChat. (2026). Citation check: Using structural equation modeling to investigate relationships among ecological variables. https://app.cochat.ai/papers/10.1023/a:1009662930292
- The paper
- Malaeb, Z. A., Summers, J. K., & Pugesek, B. H. (2000). Using structural equation modeling to investigate relationships among ecological variables. Environmental and Ecological Statistics. https://doi.org/10.1023/a%3A1009662930292
