Cited by 30Decision-Making and Behavioral EconomicsExperimental Behavioral Economics StudiesFinancial Literacy, Pension, Retirement Analysis

Dual process theories: A key for understanding the diversification bias?

Kogler, Christoph, Kühberger, Anton·2007·Journal of Risk and Uncertainty

Integrity signals

Registry

Crossref · 10.1007/s11166-007-9008-7

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kogler, C., & Kühberger, A.
Affiliations
University of Salzburg (AT)
Corresponding author
Kühberger, Anton
Venue
Journal of Risk and Uncertainty
Published
2007-03-08
Volume
34
Issue
2
Pages
145-154
ISSN
  • 0895-5646 (ISSN-L)
  • 1573-0476
OpenAlex
W2105422397
Cited by
30
References
1
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2017: 2 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 2
FWCI
0.99
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Risk and Uncertainty (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Safety Research › Experimental Behavioral Economics Studies
  • Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
Keywords
dual-process theory, System 1, System 2, probability judgment, contextual cues, statistical reasoning, decision making under risk

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