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Nonrecursive Causal Models
Abstract
Where an assumption of unidirectionality in causal effects is unrealistic, 'recursive' models cannot be used, and more complex 'nonrecursive' models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are 'unidentified', which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of estimation. The concept of identification, and the factors that lead to it are explained; and various tests for determination are provided. Illustrations from a variety of social science disciplines are used throughout the book.
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Cited by
Edwards, J. R., & Lambert, L. S. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.1.1 · Cited by 4,711
Self-esteem and the quest for felt security: How perceived regard regulates attachment processes.
Murray, S. L., Holmes, J. G., & Griffin, D. W. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.78.3.478 · Cited by 559
(2004) · Springer Texts in Statistics · doi:10.1007/b98963 · Cited by 517
Macho, S., & Ledermann, T. (2011) · Psychological Methods · doi:10.1037/a0021763 · Cited by 401
Dux, P. E., Tombu, M. N., Harrison, S., Rogers, B. P., Tong, F., & Marois, R. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.005 · Cited by 295
Metadata
- Authors
- Berry, W.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 1984
- OpenAlex
- W368780132
- Cited by
- 224
- References
- 0
- FWCI
- 0.77
- Type
- book
- Language
- en
- Open access
- closed
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