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Statistical Power Analysis for the Behavioral Sciences
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Practical methods for computing power in testing the multivariate general linear hypothesis
Muller, K. E., & Peterson, B. L. (1984) · Computational Statistics & Data Analysis · doi:10.1016/0167-9473(84)90002-1 · Cited by 95
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Research works printed but not linked: 5
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Metadata
- Authors
- Muller, K.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1989-11
- Volume
- 31
- Issue
- 4
- Pages
- 499-500
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W4300870773
- Cited by
- 99,167
- References
- 1
- FWCI
- 200.32
- Type
- journal article
- Language
- en
- Open access
- closed
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.