You can do structural models with continuous interactions although the techniques are not without controversy. Here are a few references.
Jaccard, J., & Wan, C. K. (1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches. Psychological Bulletin, 117, 348-357. Joreskog, K. G., & Yang, F. (1996) Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and Techniques. Mahwah, NJ: Lawrence Erlbaum. Kenny, D. A., & Judd, C. M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin, 96, 201-210. Paul R. Swank, Ph.D. Professor, Developmental Pediatrics Medical School UT Health Science Center at Houston -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]On Behalf Of Andrew Sent: Monday, April 29, 2002 8:39 AM To: [EMAIL PROTECTED] Subject: Path analysis question (endogenous variables) My stats advisor is out of town so I thought I'd ask a simple question about stats analysis pertaining to my dissertation proposal: My model will predict that the correlation of two exogenous variables ("locus of control" and "agency") will predict or cause the presence of another variable. Each of the the two exogenous variables alone will not do this: only in the specific case of them being correlated will the prediction be in effect. Would it be possible to place, in the model, an endogenous variable consisting of the correlation between the two exogenous variables of locus of control and agency (which in turn would affect the other variable)? In other words, an endogenous variable consisting of the specific way that locus of control and agency interact. I'm going by Rex Klein's book and technically it may fit, but my statistical knowledge is admittedly far from perfect. Thanks in advance for your help, A. Pleshkevych . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . ================================================================= . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
