Evidence map›Paper›PMID 29135817›Full record

ArticleMedicine and science in sports and exercise2018

A Primer on the Use of Equivalence Testing for Evaluating Measurement Agreement.

Philip M Dixon, Pedro F Saint-Maurice, Youngwon Kim, Paul Hibbing, Yang Bai, Gregory J Welk

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language: a mixed methods pilot randomised crossover trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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  19. Accuracy and reliability of bioelectrical impedance analysis for determining body composition among preterm infants.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Philip M DixonDepartment of Statistics, Iowa State University, Ames, IA.
Pedro F Saint-MauriceDepartment of Statistics, Iowa State University, Ames, IA.
Youngwon KimDepartment of Statistics, Iowa State University, Ames, IA.
Paul HibbingDepartment of Statistics, Iowa State University, Ames, IA.
Yang BaiDepartment of Statistics, Iowa State University, Ames, IA.
Gregory J WelkDepartment of Statistics, Iowa State University, Ames, IA.

Funding

Calibration of the Online Youth Activity Profile for School-Based EvaluationsR21CA188641 · NCI · IOWA STATE UNIVERSITY · PI WELK, GREG J · 2014 to 2015
$360k
NCI NIH HHS R21 CA188641
6 · The paper itself

Abstract

purposeStatistical equivalence testing is more appropriate than conventional tests of difference to assess the validity of physical activity (PA) measures. This article presents the underlying principles of equivalence testing and gives three examples from PA and fitness assessment research.

methodsThe three examples illustrate different uses of equivalence tests. Example 1 uses PA data to evaluate an activity monitor's equivalence to a known criterion. Example 2 illustrates the equivalence of two field-based measures of physical fitness with no known reference method. Example 3 uses regression to evaluate an activity monitor's equivalence across a suite of 23 activities.

resultsThe examples illustrate the appropriate reporting and interpretation of results from equivalence tests. In the first example, the mean criterion measure is significantly within ±15% of the mean PA monitor. The mean difference is 0.18 METs and the 90% confidence interval of -0.15 to 0.52 is inside the equivalence region of -0.65 to 0.65. In the second example, we chose to define equivalence for these two measures as a ratio of mean values between 0.98 and 1.02. The estimated ratio of mean V˙O2 values is 0.99, which is significantly (P = 0.007) inside the equivalence region. In the third example, the PA monitor is not equivalent to the criterion across the suite of activities. The estimated regression intercept and slope are -1.23 and 1.06. Neither confidence interval is within the suggested regression equivalence regions.

conclusionsWhen the study goal is to show similarity between methods, equivalence testing is more appropriate than traditional statistical tests of differences (e.g., ANOVA and t-tests).

Indexed as

ExercisePhysical FitnessConfidence IntervalsExercise TestHumansReference ValuesStatistics as Topic

Identifiers

PMID29135817
PMCPMC5856600

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.