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“First, some data within this study was not normally distributed. Typically used parametric methods would have led to biased results. Non-parametric tests and bootstrap were used in the analyses to obtain robust results [53–55].”
From Impact of an acceptance facilitating intervention on psychotherapists' acceptance of blended therapy (2020) · cites this paper as [55]
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Metadata
- Authors
- Mooney, C., & Duval, R.
- ORCID
- Mooney, Christopher
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 1993
- OpenAlex
- W4252542285
- Cited by
- 893
- References
- 0
- Citations by year
- 2026: 33 · 2025: 53 · 2024: 39 · 2023: 31 · 2022: 44 · 2021: 33 · 2020: 48 · 2019: 33 · 2018: 33 · 2017: 47 · 2016: 36 · 2015: 53 · 2014: 24 · 2013: 34 · 2012: 42
- FWCI
- 2.47
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Keywords
- bootstrapping
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.
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