The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The Causal Foundations of Structural Equation Modeling
Open accessAbstract
The role of causality in SEM research is widely perceived to be, on the one hand, of pivotal methodological importance and, on the other hand, confusing, enigmatic and controver-sial. The confusion is vividly portrayed, for example, in the influential report of Wilkinson
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Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
Self-citationMediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Introduction to Statistical Mediation Analysis
MacKinnon, D. P. (2012) · doi:10.4324/9780203809556 · Cited by 5,618
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Process Analysis: Estimating Mediation in Treatment Evaluations
Judd, C. M., & Kenny, D. A. (1981) · Evaluation Review · doi:10.1177/0193841x8100500502 · Cited by 2,442
Causal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355 · cited 2×
“These were later generalized by Balke and Pearl (1995), using surgeries (equation 6), thus permitting endogenous variables to serve as counterfactual antecedents.”
BackgroundSelf-citationCausal inference in statistics: An overview
Pearl, J. (2009) · Statistics Surveys · doi:10.1214/09-ss057 · Cited by 2,336 · cited 23×
“= 0, Y = 0), also known as the “probability of causation” (Pearl, 2009, Ch. 9) quantifies “causes of effect,” as opposed to “effect of causes,” and was excluded, prematurely I presume, from the province of potential outcome analysis (Holland, 1986).”
BackgroundMethodInfluentialSelf-citationCausal Inference Using Potential Outcomes: Design, Modeling, Decisions
Rubin, D. B. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000001880 · Cited by 2,173
Limitations of the Application of Fourfold Table Analysis to Hospital Data
Berkson, J. (1946) · Biometrics Bulletin · doi:10.2307/3002000 · Cited by 1,810 · cited 2×
“…of collision nodes (or colliders, e.g., Z → X ← UX) reflects a general 9In linear models, d-separation is applicable to cyclic models as well. phenomenon known as Berkson’s paradox (Berkson, 1946), whereby observations on a common consequence of two independent causes render those causes dependent.”
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Cited by
piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics
Lefcheck, J. S. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12512 · Cited by 4,845
Developmental cognitive neuroscience using latent change score models: A tutorial and applications
Kievit, R. A., Brandmaier, A. M., Ziegler, G., van Harmelen, A.-L., de Mooij, S. M. M., Moutoussis, M., Goodyer, I. M., Bullmore, E., Jones, P. B., Fonagy, P., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.007 · Cited by 516
Linear and generalized linear mixed models
Bolker, B. M. (2015) · Ecological Statistics · doi:10.1093/acprof:oso/9780199672547.003.0014 · Cited by 339
Elwert, F. (2013) · Handbooks of Sociology and Social Research · doi:10.1007/978-94-007-6094-3_13 · Cited by 325
van der Linden, S. (2014) · European Journal of Social Psychology · doi:10.1002/ejsp.2008 · Cited by 316
Metadata
- Authors
- Pearl, J.
- Publisher
- Defense Technical Information Center
- Published
- 2012-02-16
- OpenAlex
- W2161701317
- Cited by
- 344
- References
- 16
- Type
- report
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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