Structuring Knowledge Retrieval: An Analysis of Decomposed Quantitative Judgments

[1]  R. Falk Multiplicative Analogues of Some Statistics , 1984 .

[2]  K. R. Hammond,et al.  Direct Comparison of Intuitive, Quasi-Rational and Analytical Cognition , 1983 .

[3]  Edwin T. Cornelius,et al.  A comparison of holistic and decomposed judgment strategies in a performance rating simulation , 1982 .

[4]  M. Singer Judgment under uncertainty: The vitality of mythical numbers , 1982 .

[5]  Kenneth R. Hammond,et al.  Principles of Organization in Intuitive and Analytical Cognition. , 1981 .

[6]  Diane Dormant,et al.  The instructional design library , 1979 .

[7]  S. Lichtenstein,et al.  Do those who know more also know more about how much they know?*1 , 1977 .

[8]  Lev Nikhmanovich Landa,et al.  Instructional Regulation and Control: Cybernetics, Algorithmization, and Heuristics in Education , 1976 .

[9]  Allan Collins,et al.  A spreading-activation theory of semantic processing , 1975 .

[10]  J. Armstrong The Use of the Decomposition Principle in Making Judgments , 1975 .

[11]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[12]  Kenneth R. Hammond,et al.  A note on intuitive vs analytic thinking , 1974 .

[13]  R. Dawes,et al.  Linear models in decision making. , 1974 .

[14]  Daniel Kahneman,et al.  Availability: A heuristic for judging frequency and probability , 1973 .

[15]  P. Wright,et al.  Written information: Some alternatives to prose for expressing the outcomes of complex contingencies. , 1973 .

[16]  J. Baron,et al.  An analysis of the word-superiority effect☆ , 1973 .

[17]  Hillel J. Einhorn,et al.  Expert measurement and mechanical combination , 1972 .