The DOI matches its DataCite record.
The ‘Most Significant Change’ (MSC) Technique: A Guide to Its Use”
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cited by
Sorted by citations
Wilkin, K., Evans, S., Van Niekerk, L., Romano, D., Fuller-Tyszkiewicz, M., Knowles, S., Chesterman, S., Raven, L., & Mikocka-Walus, A. (2024) · Journal of Clinical Psychology in Medical Settings · doi:10.1007/s10880-023-09999-5 · Cited by 5
Metadata
- Authors
- Davies, R.
- Corresponding author
- Davies, Rick
- Venue
- Unpublished
- Publisher
- Unpublished
- Published
- 2005
- OpenAlex
- W6922431696
- Cited by
- 40
- References
- 0
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 3 · 2023: 7 · 2022: 2 · 2021: 6 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 2 · 2013: 2 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental and Social Impact Assessments
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Organizational Change and Leadership
- Keywords
- most significant change technique, change detection, image change detection
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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