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
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
