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A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein

Warshaw, Paul R.·1980·Journal of Marketing Research

DOI 10.1177/002224378001700201

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Abstract

The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables.

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Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Motivation and Personality
(1997) · Naming the Mind: How Psychology Found its Language · doi:10.4135/9781446221815.n7 · Cited by 15,148
Psychometric theory (2nd ed.).
Sitgreaves, R. (1979) · Contemporary Psychology · doi:10.1037/018882 · Cited by 14,384
Advances in Consumer Research
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,486
Harvard business review
(1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)92196-5 · Cited by 12,205
Handbook of Industrial and Organizational Psychology.
Hammer, T. H., Anderson, J. F., Gurdon, M. A., Jick, T. D., Petit, A., Stern, R. N., Schwartz, H., Vardi, Y., & Dunnette, M. D. (1977) · Administrative Science Quarterly · doi:10.2307/2391755 · Cited by 11,947
The Measurement of Meaning
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957) · Cited by 9,433
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611

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Research works printed but not linked: 33

Ahtola O. T., 1976, Advances in Consumer Research
Bendikas O., 1979, Marketing News, 12, 9
Bettman J., 1973, Working Paper No. 1
Bourne F., 1963, Marketing and the Behavioral Sciences
Burnkrant R., 1978, unpublished working paper
Byrnes J., 1964, Journal of Advertising Research, 4, 49, 10.1080/00218499.1964.12519742 · DOI
Cattin P., 1978, working paper
Cohen J., 1970, Working Series in Marketing Research, Paper No. 12
Dubois B., 1975, Advances in Consumer Research, 321
Fishbein M., 1976, Advances in Consumer Research
GlassmanM. (1971), “The Effects of Personality and Demographic Factors on the Formation of Attitudes Toward Convenience Goods,” unpublished Master's thesis, University of Illinois.
Glassman M., 1976, Advances in Consumer Research
Granbois D., 1968, Marketing and the New Science of Planning
Green P., 1973, Multiattribute Decisions in Marketing
Henderson J., 1971, Microeconomic Theory
Karlins M., 1970, Persuasion
Kerlinger F. N., 1973, Foundations of Behavioral Research
Lutz R., 1973, presented at 81st Annual Convention of the American Psychological Association
Lutz R., 1976, Advances in Consumer Research
Mathews H., 1974, Working Paper No. 19
Miniard P., 1979, University of Florida Working Paper No., 18
Nunnally J., 1978, Psychometric Theory
10.1177/002224377901600102 · DOI
Raju P., 1975, Advances in Consumer Research
RyanM. (1974), “An Empirical Test of a Predictive Model and Causal Chain Derived from Fishbein's Behavioral Intention Model and Applied to a Purchase Intention Situation,” unpublished doctoral dissertation, University of Kentucky.
Ryan M., 1978, Advances in Consumer Research, 283
Sheth J., 1969, presented at American Marketing Association Consumer Workshop
Sheth J., 1971, Insights in Consumer and Marketing Behavior
Sheth J., 1974, Models of Buyer Behavior
Srinivasan V., 1977, Research Paper No. 347
Tuncalp S., 1975, Advances in Consumer Research, 389
Woodside A., 1974, Journal of Advertising Research, 14, 33, 10.1080/00218499.1974.12519199 · DOI
Woodside A., 1975, Advances in Consumer Research, 335

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Authors: Warshaw, P. R.
Affiliations: McGill University (CA)
Corresponding author: Warshaw, Paul R.
Venue: Journal of Marketing Research
Publisher: SAGE Publications
Published: 1980-05
Volume: 17
Issue: 2
Pages: 153-172
ISSN: 0022-2437 (ISSN-L)
1547-7193
DOI: 10.1177/002224378001700201
OpenAlex: W1973144792
Cited by: 340
References: 74
Citations by year: 2026: 3 · 2025: 6 · 2024: 12 · 2023: 10 · 2022: 18 · 2021: 12 · 2020: 11 · 2019: 8 · 2018: 11 · 2017: 14 · 2016: 8 · 2015: 16 · 2014: 16 · 2013: 12 · 2012: 20
FWCI: 3.25
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Journal of Marketing Research (publishedVersion)
Topics: Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords: attitude-behavior relationship, multicollinearity, marketing applications

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A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein

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