Supplementing Tests of Statistical Significance: Variation Accounted For

Young, Martin A.

doi:10.1044/jshr.3604.644

Cited by 56Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviewsPsychology Research and Bibliometrics

Supplementing Tests of Statistical Significance: Variation Accounted For

Young, Martin A.·1993·Journal of Speech Language and Hearing Research

DOI 10.1044/jshr.3604.644

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Abstract

This tutorial summarizes some of the widely known limitations of tests of statistical significance and then focuses on extracting measures of variation accounted for as a supplement to significance testing. Computation details are presented for research consumers. Some cautions in interpreting these measures are also reviewed.

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Authors: Young, M. A.
Affiliations: Illinois State University (US)
Corresponding author: Young, Martin A.
Venue: Journal of Speech Language and Hearing Research
Publisher: American Speech Language Hearing Association
Published: 1993-08
Volume: 36
Issue: 4
Pages: 644-656
ISSN: 1092-4388 (ISSN-L)
1558-9102
DOI: 10.1044/jshr.3604.644
OpenAlex: W2056258233
Cited by: 56
References: 54
Citations by year: 2021: 1 · 2020: 2 · 2016: 1 · 2014: 1 · 2012: 2
FWCI: 2.02
Type: journal article
Language: en
Open access: closed
Locations: Journal of Speech Language and Hearing Research (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords: statistical significance testing, effect size, statistical power, statistical interpretation, research consumers
MeSH terms: Data Interpretation, Statistical, Female, Humans, Male, Mathematical Computing, Research, Reproducibility of Results, Models, Statistical

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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.

What counts as a claim ›How we measure confidence ›How we check this ›

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Supplementing Tests of Statistical Significance: Variation Accounted For

Abstract

Integrity signals

Claims the paper makes

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