Mathematical Psychology in Progress

I - Theory, Metatheory, and Measurement.- Current directions in mathematical learning theory.- Transforming probabilities without violating stochastic dominance.- Formal models and axiomatic measurement.- An axiomatic approach towards testing bilinear attitude models.- The representation of dynamic structures.- Random variables and qualitative probability representations.- Elements of a model-theoretic framework for probabilistic measurement.- II - Choice, Perception, Cognition, and Performance.- Some modified inhibition models for response time series.- Mental processing and distraction.- A procedure for facilitating an expert's judgements on a set of rules.- A generalized "discounting the background" model extending the traditional Grassmannian approach to colour vision.- Choice basis, a model for multi-attribute preference: some more evidence.- An elementary formal categorization of a corpus of spelling errors.- Rules for parallelprocessing networks with adaptive structure.- III - Psychometrics and Theory of Data.- New results in test theory without an answer key.- Item sampling, guessing, partial information and decision-making in achievement testing.- The linear logistic test model and heterogeneity of cognitive strategies.- Testable conditions for the existence of a qualitative J-scale in unfolding.- Graph theoretical representations of proximities by monotonic network analysis (MONA).- Midpoint sequences, intransitive J scales, and scale values in unidimensional unfolding.- Predicting an optimal threshold in Boolean analysis of questionnaires.- An impossibility theorem for fair bidimensional representation: towards a biproportional solution.- Thresholds and independence in proportional representation.- Author index.