Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis
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The 59.0% variance explained in behavioral intention is significantly higher than the 31.0% obtained by Rise et al. (2010), 33.0% by Rivis et al. (2009), and 39.0% by Rivis and Sheeran (2003).
“In comparison to other meta-analyses focusing on TPB, these percentages are superior, as the 59.0% variance explained in behavioral intention is significantly higher than the 31.0% obtained by Rise etal. (2010), 33.0% by Rivis etal. (2009), and 39.0% by Rivis and Sheeran (2003).”
From Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach (2023) · cites this paper as Rivis and Sheeran (2003)
No percentages of variance explained for use behavior are reported in the articles published by Rise et al. (2010), Rivis et al. (2009), and Rivis and Sheeran (2003).
“However, no percentages of variance explained for use behavior are reported in the articles published by Rise etal. (2010), Rivis etal. (2009), and Rivis and Sheeran (2003).”
From Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach (2023) · cites this paper as Rivis and Sheeran (2003)
Rivis and Sheeran's (2003) meta-analysis found that descriptive norms accounted for an additional 5% of the variance in intentions.
“For example, Rivis and Sheeran's (2003) meta-analysis found that descriptive norms accounted for an additional 5% of the variance in intentions.”
From Social influence in the theory of planned behaviour: The role of descriptive, injunctive, and in-group norms (2009) · cites this paper as Rivis & Sheeran, 2003
The results support the argument that social factors are important within the theory of planned behaviour and support the inclusion of additional sources of social influence into the TPB.
“These results support the argument that social factors are important within the theory of planned behaviour and support the inclusion of additional sources of social influence into the TPB (see e.g., Manstead, 2000;Rivis & Sheeran, 2003).”
From Social influence in the theory of planned behaviour: The role of descriptive, injunctive, and in-group norms (2009) · cites this paper as Rivis & Sheeran, 2003
Rivis and Sheeran assessed 14 studies with a total sample of 5,810 and found strong evidence for the predictive validity of descriptive norms in intention formation.
“Rivis and Sheeran ([2003], p. 228) assessed fourteen studies (total sample size N 5 5,810) covering a wide range of behavioural domains, and they found 'strong evidence in support of the predictive validity of descriptive norms' in 'intention formation'.”
From Science Communication and the Problematic Impact of Descriptive Norms (2023) · cites this paper as Rivis and Sheeran [2003]
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- Authors
- Rivis, A., & Sheeran, P.
- Affiliations
- University of Sheffield (GB)
- ORCID
- Sheeran, Paschal
- Venue
- Current Psychology
- Published
- 2003-09
- Volume
- 22
- Issue
- 3
- Pages
- 218-233
- ISSN
- 1046-1310 (ISSN-L)
- 0737-8262
- 1936-4733
- OpenAlex
- W2010512215
- Cited by
- 1,258
- References
- 52
- Citations by year
- 2026: 39 · 2025: 64 · 2024: 90 · 2023: 81 · 2022: 87 · 2021: 84 · 2020: 84 · 2019: 83 · 2018: 70 · 2017: 78 · 2016: 77 · 2015: 75 · 2014: 72 · 2013: 58 · 2012: 48
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Current Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Keywords
- descriptive norms, theory of planned behavior, behavioral intention, subjective norms, attitudes, perceived behavioral control, health risk behaviors, social influence, age differences
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.
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