The Magical Number Seven and Some Other Features of Category Scaling: Properties of a Model for Absolute Judgment

Abstract A model for absolute judgment is presented. This is derived from a theory of the processes which set and maintain response criteria ( M. Treisman & T. C. Williams, 1984 , Psychological Review , 91 , 68–111) which has been applied to a number of problems in psychophysics. A Thurstonian model is assumed as a basis for absolute judgment, and criterion-setting theory is applied to the criteria in this model. The question is then considered, to what extent can such a model account for the main findings that have been obtained in category scaling? The range of explanations that the model can provide is investigated by means of computer simulation. It appears that features such as the upper limit on information transmission as the number of stimuli increases, the effect of stimulus range on information transmission, the accuracy edge effect, the resolution edge effect, the central tendency of judgment, stimulus and response dependencies, and related phenomena can be reproduced by simulations of the model.

[1]  A. W. MacRae,et al.  Channel capacity in absolute judgment tasks: An artifact of information bias? , 1970 .

[2]  N I Durlach,et al.  Intensity perception. I. Preliminary theory of intensity resolution. , 1969, The Journal of the Acoustical Society of America.

[3]  Andrew Faulkner,et al.  Can Decision Criteria Interchange Locations? Some Positive Evidence , 1985 .

[4]  D. M. Green,et al.  Variability and sequential effects in cross-modality matching of area and loudness. , 1980, Journal of experimental psychology. Human perception and performance.

[5]  James P. Egan,et al.  Recognition memory and the operating characteristic. , 1958 .

[6]  D. M. Green,et al.  The bow and sequential effects in absolute identification , 1982, Perception & psychophysics.

[7]  L. Braida,et al.  Intensity perception. X. Effect of preceding stimulus on identification performance. , 1980, The Journal of the Acoustical Society of America.

[8]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[9]  B. Philip Effect of length of series upon generalization and central tendency in the discrimination of a series of stimuli. , 1952, Canadian journal of psychology.

[10]  L. M. Ward,et al.  Mixed-modality psychophysical scaling: Sequential dependencies and other properties , 1982, Perception & psychophysics.

[11]  L. Braida,et al.  Intensity perception. VII. Further data on roving-level discrimination and the resolution and bias edge effects. , 1977, The Journal of the Acoustical Society of America.

[12]  S. S. Stevens,et al.  Ratio scales and category scales for a dozen perceptual continua. , 1957, Journal of experimental psychology.

[13]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[14]  D. Dorfman The likelihood function of additive learning models: Sufficient conditions for strict log-concavity and uniqueness of maximum ☆ , 1973 .

[15]  M. Treisman Evolutionary limits to the frequency of aggression between related or unrelated conspecifics in diploid species with simple Mendelian inheritance. , 1981, Journal of theoretical biology.

[16]  James L. McClelland,et al.  An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .

[17]  I. Pollack The Information of Elementary Auditory Displays , 1952 .

[18]  Michel Treisman,et al.  The evolutionary restriction of aggression within a species: A game theory analysis , 1977 .

[19]  R. Luce,et al.  Sequential effects in judgments of loudness , 1977 .

[20]  Frank Angell On Judgments of "Like" in Discrimination Experiments , 1907 .

[21]  Michel Treisman,et al.  Predation and the evolution of gregariousness. II. An economic model for predator-prey interaction , 1975, Animal Behaviour.

[22]  Harley Bornbach,et al.  An introduction to mathematical learning theory , 1967 .

[23]  Michel Treisman,et al.  Predation and the evolution of gregariousness. I. Models for concealment and evasion , 1975, Animal Behaviour.

[24]  E. Galanter,et al.  Estimates of Utility Function Parameters from Signal Detection Experiments. , 1981 .

[25]  Intensity perception. XII. Effect of presentation probability on absolute identification. , 1983, The Journal of the Acoustical Society of America.

[26]  H. Woodrow,et al.  The temporal indifference interval determined by the method of mean error. , 1934 .

[27]  N I Durlach,et al.  Intensity perception. XIII. Perceptual anchor model of context-coding. , 1984, The Journal of the Acoustical Society of America.

[28]  Mark Kac,et al.  A note on learning signal detection , 1962, IRE Trans. Inf. Theory.

[29]  J. E. Berliner,et al.  Revised perceptual‐anchor model for context coding in intensity perception , 1973 .

[30]  Richard C. Atkinson,et al.  Signal recognition as influenced by information feedback , 1970 .

[31]  J. Yellott The relationship between Luce's Choice Axiom, Thurstone's Theory of Comparative Judgment, and the double exponential distribution , 1977 .

[32]  Lawrence M. Ward,et al.  Sequential effects and memory in category judgments. , 1970 .

[33]  M Treisman,et al.  A theory of criterion setting: an alternative to the attention band and response ratio hypotheses in magnitude estimation and cross-modality matching. , 1984, Journal of experimental psychology. General.

[34]  J. M. Smith The theory of games and the evolution of animal conflicts. , 1974, Journal of theoretical biology.

[35]  M Wagner,et al.  A quantitative analysis of sequential effects with numeric stimuli , 1981, Perception & psychophysics.

[36]  Contingent Aftereffects and Situationally Coded Criteria: Discussion Paper , 1984, Annals of the New York Academy of Sciences.

[37]  Michel Treisman,et al.  Sensory Scaling and the Psychophysical Law , 1964 .

[38]  D. M. Green,et al.  Variability and sequential effects in magnitude production and estimation of auditory intensity , 1977 .

[39]  G. Lockhead,et al.  A Memory Model of Sequential Effects in Scaling Tasks , 1983 .

[40]  Garner Wr An informational analysis of absolute judgments of loudness. , 1953 .

[41]  Andrew Faulkner,et al.  THE SETTING AND MAINTENANCE OF CRITERIA REPRESENTING LEVELS OF CONFIDENCE , 1984 .

[42]  S. S. Stevens On the psychophysical law. , 1957, Psychological review.

[43]  R M Nosofsky,et al.  Shifts of attention in the identification and discrimination of intensity , 1983, Perception & psychophysics.

[44]  D. M. Green,et al.  Attention bands in absolute identification , 1976 .

[45]  Ewart A. C. Thomas,et al.  Probability matching as a basis for detection and recognition decisions. , 1970 .

[46]  A. Parducci Category judgment: a range-frequency model. , 1965, Psychological review.

[47]  Ewart A. C. Thomas On a class of additive learning models: Error-correcting and probability matching , 1973 .

[48]  Donald D. Dorfman,et al.  A learning model for a continuum of sensory states , 1971 .

[49]  M. Treisman,et al.  The effect of signal probability on the slope of the receiver operating characteristic given by the rating procedure , 1984 .

[50]  David M. Greem,et al.  Variability of magnitude estimates: A timing theory analysis , 1974 .

[51]  E. Galanter,et al.  The relation between category and magnitude scales of loudness. , 1961, Psychological review.

[52]  David M. Green,et al.  Effects of practice and distribution of auditory signals on absolute identification , 1977 .

[53]  Michel Treisman,et al.  THE EFFECT OF ONE STIMULUS ON THE THRESHOLD FOR ANOTHER: AN APPLICATION OF SIGNAL DETECTABILITY THEORY1 , 1964 .

[54]  L. M. Ward,et al.  Repeated magnitude estimations with a variable standard: Sequential effects and other properties , 1973 .

[55]  W. W. Peterson,et al.  The theory of signal detectability , 1954, Trans. IRE Prof. Group Inf. Theory.

[56]  G. Lockhead,et al.  Sequential effects in absolute judgments of loudness , 1968 .

[57]  F Gravetter,et al.  Criterial range as a frame of reference for stimulus judgment. , 1973, Psychological review.

[58]  S. S. Stevens The Psychophysics of Sensory Function. , 1960 .

[59]  R. Luce,et al.  Individual magnitude estimates for various distributions of signal intensity , 1980, Perception & psychophysics.

[60]  M. Treisman,et al.  American Psychological Association, Inc, A Theory of Criterion Setting With an Application to Sequential Dependencies , 2022 .

[61]  A. Parducci,et al.  DISTRIBUTION AND SEQUENCE EFFECTS IN JUDGMENT. , 1965, Journal of experimental psychology.

[62]  D. Kornbrot Attention bands: Some implications for categorical judgement , 1980 .

[63]  Lawrence M. Ward,et al.  Response system processes in absolute judgment , 1971 .

[64]  L. Marks Stimulus-range, number of categories, and form of the category-scale. , 1968, The American journal of psychology.

[65]  R M Nosofsky,et al.  Information integration and the identification of stimulus noise and criterial noise in absolute judgment. , 1983, Journal of experimental psychology. Human perception and performance.

[66]  H. Hollingworth The Central Tendency of Judgment , 1910 .

[67]  N. I. Durlach,et al.  Intensity Perception. II. Resolution in One‐Interval Paradigms , 1972 .

[68]  W. R. Garner Uncertainty and structure as psychological concepts , 1975 .

[69]  J. Guilford Psychometric methods, 2nd ed. , 1954 .

[70]  Ewart A. C. Thomas Criterion adjustment and probability matching , 1975 .

[71]  Donald M. Johnson,et al.  Systematic introduction to the psychology of thinking , 1972 .

[72]  Michel Treisman,et al.  What do Sensory Scales Measure? , 1964 .

[73]  A. E. Dusoir,et al.  Treatments of bias in detection and recognition models: A review , 1975 .