Using Non-linear Models for a Complexity Approach to Psychological Well-being

Author:

González Mònica,Coenders Germà,Casas Ferran

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference91 articles.

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2. Allegrini P., Giuntoli M., Grigolini P., West B. J. (2004). From knowledge, knowability and the search for objective randomness to a new vision of complexity. Chaos, Solitons and Fractals 20:11–32

3. Anderson T.W., Rubin H. (1956). Statistical inference in factor analysis. In: Neyman J. (eds) Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Vol 5. Berkeley, University of California Press, pp. 111–150

4. Batista-Foguet J.M., Coenders G., Saris W.E. (2004a). A parsimonious approach to interaction effects in structural equation models: an application to consumer behavior. Working Papers of ESADE 183:1–28

5. Batista-Foguet J.M., Coenders G., Saris W.E., Bisbe J. (2004b). Simultaneous estimation of indirect and interaction effects using structural equation models. Metodološki Zvezki, Advances in and Statistics 1:163–184

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