The DOI matches its Crossref record.
Uncertainty and Structure as Psychological Concepts
Open accessAbstract
It was a misfortune of psychology that it lacked a tradition of dealing with rigorous mathematical theories when psychologists were first attracted by information theory. Applications were made with simple-minded identification of psychological concepts with communication terms, without really paying attention to the meaning of the terms in the respective areas. Quite a few experiments were reported measuring human channel capacity under various experimental conditions without asking the basic question: Does the human being comply with the definition of channel in communication engineering? It is true that, in spite of this carelessness, the bulk of experiments re~ ported demonstrated some systematic results as summarized by G. A. Miller in his concept of The Magical Number Seven. However, these experiments also led to various riddles and confusions as illustrated by Garner in Chapter 2 of this book. And this is undoubtedly the reason that many frustrated psychologists finally gave up information theory as useless to psychology. Still, after the waxing and waning of information theory in psychology, an important recognition remained: Information processing is one of the most significant functions of man. The recognition must eventually revive the application of information theory to psychology as a sheer necessity. Probably " application" is not a proper word. A kind of information theory must be developed which is suitable to describe as complicated aa information processing mechanism as man. A first step toward such a theory was taken by McGill in his paper published in Psychometrika in 1954. What I call a misfortune of psychology is this: Instead of taking McGill's mathematical system (called symmetric uncerlainty analysis by Garner and abbreviated here as SUA) as a conceptual tool iu analyzing psychological problems, the tradition of psychology almost forced us to see it as another statistical testing technique analogous to the analysis of variance. As such, SUA was not so handy as the analysis of variance because of the lack of known distributions, and thus SUA failed to acquire popularity. What we needed then, and need now, is a conceptual means which logically bridges information theory to psychology. So the author could not do better in entirely leaving out of the book the significance testing aspect of SUA. I t must be pointed out that SUA is not a model of human behavior. I t is a system of mathematics (or, I would rather say, of logics) so that it is infallible as far as it goes. This aspect of SUA must be clearly remembered. Information theory, developed in communication engineering, is a normative theory. It is
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Recognition-by-components: A theory of human image understanding.
Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621
Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991
High-speed scanning in human memory
Sternberg, S. (1966) · Science · doi:10.1126/science.153.3736.652 · Cited by 3,576
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
The Hot Hand in Basketball: On the Misperception of Random Sequences
Gilovich, T., Vallone, R., & Tversky, A. (1985) · Cognitive Psychology · doi:10.1016/0010-0285(85)90010-6 · Cited by 1,649
Chase, W. G., & Simon, H. A. (1973) · Visual Information Processing · doi:10.1016/b978-0-12-170150-5.50011-1 · Cited by 1,419
Arousal, activation, and effort in the control of attention.
Pribram, K. H., & McGuinness, D. (1975) · Psychological Review · doi:10.1037/h0076780 · Cited by 1,208
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Categorical and contextual bases of person memory and stereotyping.
Taylor, S. E., Fiske, S. T., Etcoff, N. L., & Ruderman, A. J. (1978) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.36.7.778 · Cited by 1,028
Uncertainty management by means of fairness judgments
van den Bos, K., & Lind, E. A. (2002) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(02)80003-x · Cited by 913
Reconstructing Mediatization as an Analytical Concept
Schulz, W. (2004) · European Journal of Communication · doi:10.1177/0267323104040696 · Cited by 855
A temporal ratio model of memory
Brown, G. D. A., Neath, I., & Chater, N. (2007) · Psychological Review · doi:10.1037/0033-295x.114.3.539 · Cited by 798
Huang, P., Lurie, N. H., & Mitra, S. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.2.55 · Cited by 760
Dunning, D., Meyerowitz, J. A., & Holzberg, A. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1082 · Cited by 758
Stewart, N., Chater, N., & Brown, G. D. A. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2005.10.003 · Cited by 737
On Product Uncertainty in Online Markets: Theory and Evidence1
Dimoka, A., Hong, Y., & Pavlou, P. A. (2012) · MIS Quarterly · doi:10.2307/41703461 · Cited by 682
A rational look at the emotional Stroop phenomenon: a generic slowdown, not a Stroop effect
Algom, D., Chajut, E., & Lev, S. (2004) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.133.3.323 · Cited by 565
Justified ethicality: Observing desired counterfactuals modifies ethical perceptions and behavior
Shalvi, S., Dana, J., Handgraaf, M. J. J., & De Dreu, C. K. W. (2011) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2011.02.001 · Cited by 515
Cicchetti, D. V. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00065675 · Cited by 496
Krumhansl, C. L. (1978) · Psychological Review · doi:10.1037//0033-295x.85.5.445 · Cited by 441
Making Sense of Life: The Existential Self Trying to Deal with Personal Uncertainty
van den Bos, K. (2009) · Psychological Inquiry · doi:10.1080/10478400903333411 · Cited by 395
Does the nervous system depend on kinesthetic information to control natural limb movements?
Gandevia, S. C., & Burke, D. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0007254x · Cited by 359
Driven by information: A tectonic theory of Stroop effects.
Melara, R. D., & Algom, D. (2003) · Psychological Review · doi:10.1037/0033-295x.110.3.422 · Cited by 342
A Verbal Measure of Information Rate for Studies in Environmental Psychology
(1974) · Environment and Behavior · doi:10.1177/001391657400600205 · Cited by 272
HABER, R. N. (1974) · Historical and Philosophical Roots of Perception · doi:10.1016/b978-0-12-161901-5.50023-6 · Cited by 269
Macleod, C. M. (1998) · Memory & Cognition · doi:10.3758/bf03201133 · Cited by 166
Mental Contamination and the Debiasing Problem
Wilson, T. D., Centerbar, D. B., & Brekke, N. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.012 · Cited by 160
Information transmission with a multifinger tactual display
Tan, H. Z., Durlach, N. I., Reed, C. M., & Rabinowitz, W. M. (1999) · Perception & Psychophysics · doi:10.3758/bf03207608 · Cited by 159
The calibration of expert judgment: heuristics and biases beyond the laboratory
Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.041 · Cited by 146
The stroop effect: It is not the robust phenomenon that you have thought it to be
Dishon-Berkovits, M., & Algom, D. (2000) · Memory & Cognition · doi:10.3758/bf03211844 · Cited by 110
Implications of neural networks for how we think about brain function
Robinson, D. A. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00072563 · Cited by 107
Ecological Psychology and Enaction Theory: Divergent Groundings
Heft, H. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00991 · Cited by 69
Concept learning as a function of form of internal structure
Whitman, J. R., & Garner, W. R. (1963) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(63)80085-7 · Cited by 32
Self-citationBertels, J., Kolinsky, R., Pietrons, E., & Morais, J. (2011) · Emotion · doi:10.1037/a0022017 · Cited by 18
Nonnegative Decomposition of Multivariate Information
Williams, P. L., & Beer, R. D. (2010) · arXiv · doi:10.48550/arxiv.1004.2515
Metadata
- Authors
- Broadbent, D. E., & Garner, W. R.
- Venue
- The American Journal of Psychology
- Publisher
- University of Illinois Press
- Published
- 1964-03
- Volume
- 77
- Issue
- 1
- Pages
- 157
- ISSN
- 0002-9556 (ISSN-L)
- OpenAlex
- W1994063459
- Cited by
- 1,499
- References
- 0
- FWCI
- 134.93
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.