Hi friends,
I get different values for McNemar's test in R and SPSS. Which one should i
rely on when the p values differ.
I came across this problem when i started learning R and seriously give up
on SPSS or any other proprietary software.
Thank u in advance

Output in SPSS follows

*Crosstab*


               hsc

Total

     ABN

NE

ABN

tvs

ABN

Count

40

3

43

     Row %

93.0%

7.0%

100.0%

     COL%

78.4%

30.0%

70.5%

  NE

Count

11

7

18

     Row %

61.1%

38.9%

100.0%

     COL%

21.6%

70.0%

29.5%

Total

Count

51

10

61

  Row %

83.6%

16.4%

100.0%

  COL%

100.0%

100.0%

100.0%



 * Chi-Square Tests*


      Value

Exact Sig. (2-sided)

McNemar Test

  .057(a)

N of Valid Cases

61

   a Binomial distribution used.

Output from R is as follows....

> tvshsc<-

+ matrix(c(40,11,3,7),

+ nrow=2,

+ dimnames=list("TVS"=c("ABN","NE"),

+ "HSC"=c("ABN","NE")))

> tvshsc

     HSC

TVS   ABN NE

  ABN  40  3

  NE   11  7

> mcnemar.test(tvshsc)


McNemar's Chi-squared test with continuity correction


data:  tvshsc

McNemar's chi-squared = 3.5, df = 1, p-value = 0.06137

Regards

Dr. B Manoj Aravind

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