Cited by 12Career Development and DiversityHigher Education and EmployabilityRetirement, Disability, and Employment

The DOI matches its Crossref record; the references it cites are not checked yet.

“Career adaptability,”

Haenggli, Madeleine, Hirschi, Andreas·2023·Career psychology: Models, concepts, and counseling for meaningful employment.

Overview

Integrity signals

Registry

Crossref · 10.1037/0000339-011

Cites

Statistics

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

Verification

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.

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?

  • Particularly during the period of digital educational transformation, the rapid pace of technological change may further amplify this conversion barrier, causing low-adaptability teachers to feel resource-depleted when pursuing their professional goals.

    “the rapid pace of technological change may further amplify this conversion barrier, causing low-adaptability teachers to feel resource-depleted when pursuing their professional goals (Haenggli and Hirschi, 2023)”

Citations

The citation lists haven’t been fetched yet

Cited by 12

Metadata

Authors
Haenggli, M., & Hirschi, A.
Venue
Career psychology: Models, concepts, and counseling for meaningful employment.
Published
2023
Pages
213-233
OpenAlex
W4377082243
Cited by
12
References
0
Citations by year
2026: 8 · 2025: 4
FWCI
12.86
Type
book chapter
Language
en
Open access
closed
Locations
American Psychological Association eBooks (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
  • Social Sciences › Education › Higher Education and Employability
  • Social Sciences › Demography › Retirement, Disability, and Employment
Keywords
career adaptability, career development, career change

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