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A "Rationalized" Arcsine Transform

Studebaker, Gerald A.·1985·Journal of Speech, Language, and Hearing Research

Abstract

Arcsine or angular transformations have been used for many years to transform proportions to make them more suitable for statistical analysis. A problem with such transformations is that the arcsines do not bear any obvious relationship to the original proportions. For this reason, results expressed in arcsine units are difficult to interpret. In this paper a simple linear transformation of the arcsine transform is suggested. This transformation produces values that are numerically close to the original percentage values over most of the percentage range while retaining all of the desirable statistical properties of the arcsine transform.

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Metadata

Authors
Studebaker, G. A.
Venue
Journal of Speech, Language, and Hearing Research
Published
1985-09
Volume
28
Issue
3
Pages
455-462
ISSN
  • 1092-4388 (ISSN-L)
  • 1558-9102
OpenAlex
W1975346954
Cited by
1,479
References
0
FWCI
1.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A "Rationalized" Arcsine Transform. https://app.cochat.ai/papers/10.1044/jshr.2803.455
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Studebaker, G. A. (1985). A "Rationalized" Arcsine Transform. Journal of Speech, Language, and Hearing Research. https://doi.org/10.1044/jshr.2803.455

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.