2016
DOI: 10.1080/09638288.2016.1194486
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Is my patient actually getting better? Application of the McNemar test for demonstrating the change at a single subject level

Abstract: The application of the McNemar test to questionnaires and scales offers a simple method for demonstrating the modification of a single patient's performance. This use of the McNemar test overcomes the weaknesses of the MDC and gives support to the clinician in assisting him/her to convincingly communicate a non-negligible modification of the patient's status. IMPLICATIONS FOR REHABILITATION Measuring the change in patients' status is of paramount importance in medicine and rehabilitation. However, tracking the… Show more

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Cited by 19 publications
(14 citation statements)
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“…The authors used the McNemar test to compare the changes in gambling participation before and after COVID-19. The McNemar test results in a chi-square test statistic and is applied for repeated measure comparisons with categorical data (Caronni and Sciumè 2017).…”
Section: Methodsmentioning
confidence: 99%
“…The authors used the McNemar test to compare the changes in gambling participation before and after COVID-19. The McNemar test results in a chi-square test statistic and is applied for repeated measure comparisons with categorical data (Caronni and Sciumè 2017).…”
Section: Methodsmentioning
confidence: 99%
“…McNemar’s exact test was used to compare the percentage of participants reporting that they performed recommended preventive behaviours before and after the intervention. McNemar’s test was used because the evaluation was a repeated measurement of the same subjects over time [ 21 ]. Statistical analyses were performed using Stata version 14.0 (StataCorp LP, College Station, TX).…”
Section: Methodsmentioning
confidence: 99%
“…Third, the interval measures obtained from the ordinal scores of the FES-I give full access to parametric statistics (which is formally precluded to ordinal scores 26 ). With this regard, it is noteworthy that dependent variables expressed on an interval (or ratio) scale are actually needed for calculating even the simple linear regression.…”
Section: Discussionmentioning
confidence: 99%