Towards a Psychology of Food and Eating: from Motivation to Module
traditional factor analysis to structural-causal 8. Cronbach and Meehl, note 7, p. 291 15. For SFA issues in longitudinal data anal- modeling in developmenlal research, m Experi- 9. t^anonical regression models can be written ysis, see I J. McArdle and F Anderson, Lalenl mental Psychology in the ruiure, V. Sarris and A. as a restricted structural equation model where variable growth models in research on aging, in Parducci,'Eds. (Krlbaum, Hillsdale, NJ, 1984); j.J. we eliminate (a) the error variance D^ ^ 0 on the The Handbook of the Psychology of Aging, J.E. Birren McArdle, Principals versus principles in factor latent variable C and (b) the internal validity as- and K,W. Schaie, Eds. (Plenum Press, New York, analysis, Multivariate Behavioral Researth, 25(1), sumptions of uncorrelated residuals among the V" 1990); J.J. McArdle and F. Hamagami, Modehng Sl-87 (1990). variables; see McArdle and Prescott, note 7. incomplete longitudinal and cross-seclional data 2 For path analysis diagrams, see S. VVrighi, 10. For the debate on job performance, see using latent growth structural models. Experimen- On "Path analysis in genetic epidemiology: A cri- M,J. Ree and J.A. Earles, Intelligence is the best tal Aging Research. 18, 145-167 (1992) tique," American journal of Human Genetics. 35, predictor of job performance, Ciirrenl Directions in 16. For further issues about SFA missing-data 757-762 (1982); J.]. McArdle and S.M. Boker, Psi/chakigical Science, 1, 8^^-89 (1992); RJ. Stern- models, see I'.D. Allison, Estimation of linear RAMpath (Eribaum, Hilhdalc, N), 1990). bcrg and R.K.
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