Book Review : Analyzing Decision Making: Metric Conjoint Analysis

Anderson, N.H. (1981). Foundations of information integration theory . New York: Academic Press.

Anderson, N.H. (1982). Methods of information integration theory. New York: Academic Press.

Barron, F.H. (1977). Axiomatic conjoint measurement. Decision Sciences, 8, 548-555.

Bishop, Y.M.M. , Fienberg, S.E. , & Holland, P.W. (1975). Discrete multivariate analysis: Theory and practice . Cambridge: MIT Press.

Budescu, D.V. , & Wallsten, T.S. (1979). A note on monotonic transformations in the context of functional measurement and analysis of variance. Bulletin of the Psychonomic Society, 14, 307-310.

Busemeyer, J.R. (1980). Importance of measurement theory, error theory, and experimental design for testing the significance of interactions. Psychological Bulletin, 88, 237-244.

Krantz, D.H. , & Tversky, A. (1971). Conjoint-measurement analysis of composition rules in psychology. Psychological Review, 78, 151-169.

Luce, R.D. (1977). The choice axiom after twenty years. Journal of Mathematical Psychology, 13, 215-233.

Tversky, A. , & Sattath, S. (1979). Preference trees. Psychological Review, 86, 542-573.

Wallsten, T.S. , & Budescu, D.V. (1981). Additivity and nonadditivity in judging MMPI profiles . Journal of Experimental Psychology: Human Perception and Peformance, 7, 1096-1109.

Weber, E.U. (1984). Combine and conquer: A joint application of conjoint and functional approaches to the problem of risk measurement. Journal of Experimental Psychology: Human Perception and Performance, 10, 179-194.

Zakay, D. (1984). The relationship between preference strength and relative frequency of choice. Applied Psychological Measurement , 8, 207-211.