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Some data within this study were not normally distributed; non-parametric tests and bootstrap were used to obtain robust results.
“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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- 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 › Computer Science › Artificial Intelligence › 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.
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.
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