The DOI matches its Crossref record.
Application of an Additive Model to Impression Formation
Abstract
A simple mathematical model, based on the hypothesis that the psychological process underlying behavior is additive, was applied to the data of an experiment on the formation of personality impressions. Of 12 subjects, only three made responses which deviated by statistically significant amounts from responses predicted from the additive model, and these discrepancies were relatively small.
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Citations
Cited by
Likableness ratings of 555 personality-trait words.
Anderson, N. H. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0025907 · Cited by 1,638
Self-citationInference of attitudes from nonverbal communication in two channels.
Mehrabian, A., & Ferris, S. R. (1967) · Journal of Consulting Psychology · doi:10.1037/h0024648 · Cited by 952
Augmented reality marketing: How mobile AR-apps can improve brands through inspiration
Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.004 · Cited by 747
Discrete Choice Experiments Are Not Conjoint Analysis
Louviere, J. J., Flynn, T. N., & Carson, R. T. (2010) · Journal of Choice Modelling · doi:10.1016/s1755-5345(13)70014-9 · Cited by 738
Functional measurement and psychophysical judgment.
Anderson, N. H. (1970) · Psychological Review · doi:10.1037/h0029064 · Cited by 576
Self-citation
Metadata
- Authors
- Anderson, N. H.
- Venue
- Science
- Published
- 1962-11-16
- Volume
- 138
- Issue
- 3542
- Pages
- 817-818
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2055145190
- Cited by
- 219
- References
- 0
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Anderson, N. H. (1962). Application of an Additive Model to Impression Formation. Science. https://doi.org/10.1126/science.138.3542.817
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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.
