Wood, P. K. & Davison, M. L. (1982). Using PROC ALSCAL to estimate scale values for unidimensional choice models. Proceedings of the Seventh SAS Users' Group International (SUGI) , San Francisco, pp. 691-696.
Davison, M.L. & Wood, P. K. (1983). Fitting unidimensional choice models with nonmetric multidimensional scaling. Applied Psychological Measurement , 7 , 333-340.
Rovine, J. J., von Eye, A., & Wood, P. K. (1989). The effect of low covariate-interior correlations on the analysis of covariance. In E. J. Wegman, D. T. Glentz, and J. T. Miller (Eds.), Compu ter Science and Statistics: Proceedings of the 20th Symposium on the Interface (pp. 500-504). Alexandria, VA: The American Statistical Association.
Rudinger, G. & Wood, P. K. (1990). N's, times, and number of variables in longitudinal research. in D. Magnusson, & L. R. Bergman (Eds.) Data quality in longitudinal research (pp. 157-180). New York: Cambridge University Press.
von Eye, A., Rovine, M.L. & Wood, P. K. (1990). A comparison of tests for residual analysis. in K. Berk & L. Malone (Eds.), Computer Science and Statistics: Proceedings of the 21st Symposium on the Interface (pp. 355-358). Alexandria, VA: The American Statistical Association.
Wood, P. K. (1991). Applications of scaling to developmental research. In A. von Eye (Ed.), Statistical methods in longitudinal research . (pp. 225-256). Boston: Academic Press.
Wood, P. K. & Games, P. (1991). Rationale, detection and implications of interactions between independent variables and unmeasured variables in linear models. Multivariate Behavioral Research , 25 , 295-311.
Wood, P. K. (1992). Generation and objective rotation of generalized learning curves using matrix language, Multivariate Behavioral Research , 27 , 21-29.
Wood, P. K. (1993). [Review of Problems and methods in longitudinal research: Stability and change], Contemporary Psychology , 38 , 427.
Wood, P. K. (1994). The effect of unmeasured variables and their interactions on structural models in A. von Eye and C. Clogg (Eds.), Analysis of latent variables in developmental research. (pp. 109-130) Beverly Hills, CA: Sage.
Wood, P. K. & Brown, D. A. (1994). The study of intraindividual differences via dynamic factor models: Rationale, implementation, and interpretation. Psychological Bulletin , 116 , 166-186.
Wood, P. K., Sher, K. & von Eye, A. (1994). Conjugate and other distributional methods in configural frequency analysis. Biometrical Journal , 26 , 387-410.
Wood, P. K. (1995). Toward a more critical examination of structural models: A review of Tetrad II. Structural Equation Modeling , 2 , 277-287.
von Eye, A., Spiel, C., & Wood, P.K. (1996). Lead Article: Configural frequency analysis in applied psychological research. Journal of the International Association of Applied Psychology , 45 , 301-327.
von Eye, A., Spiel, C., & Wood, P. K. (1996). CFA Models, Tests, Interpretation, and Alternatives: A rejoinder. Journal of the International Association of Applied Psychology, 45 , 345-351.
Sher, K. J. & Wood, P. K. (1997). Methodological issues in conducting proespective research on alcohol-related behavior: A report from the field. in K. Bryant, M. Windle, & S. G. West (Eds.) New Methodological approaches to alcoholism prevention research . (pp. 3-41). Washington D. C.: APA
Wood, P. K. (1997). How the state of the art can inform the state of the practice: A review of Advances in Structural Equation Modeling. Structural Equation Modeling. 4 , 370-387.
Brossart, D. F., Patton, M. J. & Wood, P. K. (1998). Assessing group process: An illustration using tuckerized growth curves. Group Dynamics: Theory, Research, and Practice, 2 , 3-17.
Wood, P. K. (1998). Structural and configural models for longitudinal categorical data. in G. Marcoulides (Ed.) Modern Methods for Business Research. (pp. 407-424). Mahwah NJ: Erlbaum.
Wood, P. K. (1998). Response to "The TETRAD project: Constraint based aids to causal model specification." (invited response), Multivariate Behavioral Research, 33 , 149-156.
Wood, P. K. & Erickson, D. J. (1998). Estimating interaction and nonlinear effects with SAS. in R. Schumacker and G. Marcoulides (Eds.) Structural Models of Interaction Effects . (pp. 101-124). Mahwah NJ: Erlbaum.
Wood, P. K. (in press). Estimation and equivalent models for quadratic and interactive latent variables. in L. Chassin & J. Rose (Eds.) Multivariate applications in substance use research. Mahwah, NJ: Erlbaum.