Abstract
This paper proposes and presents a test statistic that intrinsically and structurally adjusts the usual McNemar test statistic for the possible presence of tied responses between the paired populations of cases and control subjects that may be measurements on any scale. The method also enables the researcher readily estimate not only the chances that among a random selected pair of case and control subjects the case responds positive and the control responds negative, or the case responds negative and the control responds positive, but also even when both case and control subjects have similar responses, it enables one easily estimate the probability that both respond positive or both respond negative. The proposed method, which is shown to be relatively more efficient and hence likely to be more powerful than the usual McNemar test statistic is illustrated with some data.
Highlights
The two sample statistical tests are used when the research interest is in determining whether there is statistical difference between two populations from which the samples are drawn
Example of similar or related populations include those situations in which repeated measurements or observations are made on the same individuals or subjects at two different points in time or when individuals of similar characteristics are being compared [1]
In each case the population which has undergone treatment or procedure is compared with the population which has undergone the other treatment or procedure to ascertain whether the two populations are statistically different
Summary
The two sample statistical tests are used when the research interest is in determining whether there is statistical difference between two populations from which the samples are drawn. Π+− π- is a measure of the differential rate of positive responses by subjects in the experimental or treatment condition T2 namely case, and standard condition T1 namely control and its sample estimate is π+ −π− = W = f + − f −
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
