Cited by 190Mental Health Research TopicsPsychometric Methodologies and TestingDecision-Making and Behavioral Economics

Initial elevation bias in subjective reports

Open access
Shrout, Patrick E., Stadler, Gertraud, Lane, Sean P., McClure, M. Joy, Jackson, Grace L., Clavél, Frederick D., Iida, Masumi, Gleason, Marci E. J. +2 more·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: People’s reports of their own thoughts, feelings, and behaviors are essential assessment tools in biomedical and social science. When subjective states have been studied over time, however, researchers have often observed an unpredicted and puzzling decrease with repeated assessments. Our results across multiple outcomes in four field experiments suggest that this pattern is due to an initial elevation bias. This effect is larger for reports of internal states than for behaviors and for negative mental states and physical symptoms than for positive states. This initial elevation bias needs to be considered in all types of research using subjective reports.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1712277115

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Shrout, P. E., Stadler, G., Lane, S. P., McClure, M. J., Jackson, G. L., Clavél, F. D., Iida, M., Gleason, M. E. J., Xu, J. H., & Bolger, N.
Affiliations
  • New York University (US)
  • University of Aberdeen (GB)
  • Purdue University West Lafayette (US)
  • Adelphi University (US)
  • University of California, Los Angeles (US)
  • Iowa State University (US)
  • Arizona State University (US)
  • The University of Texas at Austin (US)
  • Columbia University (US)
Venue
Proceedings of the National Academy of Sciences
Published
2017-12-18
Volume
115
Issue
1
Pages
E15-E23
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2777798779
Cited by
190
References
27
Citations by year
2026: 11 · 2025: 26 · 2024: 23 · 2023: 20 · 2022: 33 · 2021: 28 · 2020: 18 · 2019: 18 · 2018: 13
FWCI
17.45
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • HHS | NIH | National Institute of Mental Health (R01 MH060366)
  • HHS | NIH | National Institute on Alcohol Abuse and Alcoholism (R01 AA017672)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
subjective reports, within-person change, repeated assessment, internal state, negative mental states, somatic symptoms, self-assessment bias
MeSH terms
Adult, Female, Humans, Male, Self-Assessment, Self Report

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