[R] Major difference in multivariate analyses SPSS and R
Dear colleagues, I know SPSS can not compute linear mixed models. I used 'R' before for computing multivariate analyses. But, I never encountered such a major difference in outcome between SPSS and 'R': In SPSS the Pearson correlation between variable 1 and variable 2 is 31% p0.001. In SPSS binary logistic regression gives us an Odds Ratio (OR)=4.9 (95% CI 2.7-9.0), p0.001, n=338. OR lower upper gender 1,120 0,565 2,221 age 0,985 0,956 1,015 variable 2 4,937 2,698 9,032 In R multilevel logistic regression using statistical package 'lmer' gives us an Odds Ratio=10.2 (95% CI 6.3-14), p=0.24, n=338, groups: group 1, 98; group 2 84. OR lower upper gender 2,295-2,840 7,430 age 0,003-70,047 70,054 variable 2 10,176 6,295 14,056 The crosstabs gives us: variable A Var B 0 1 0 156 108 1 17 57 Would somebody know how it is possible that in SPSS we get p0.001 and in R we get p=0.24? And, in 'R' the 95% CI of the Odds Ratio is 6.2-14.1. Why is the p-value=0.24? Thanks, Ronald [[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.
[R] Major difference in the outcome between SPSS and R statistical programs
Dear collegues, I have used R statistical program, package 'lmer', several times already. I never encountered major differences in the outcome between SPSS and R. ...untill my last analyses. Would some know were the huge differences come from. Thanks in advance, Ronald In SPSS the Pearson correlation between variable 1 and variable 2 is 31% p0.001. In SPSS binary logistic regression gives us an OR=4.9 (95% CI 2.7-9.0), p0.001, n=338. OR lower upper gender 1,120 0,565 2,221 age 0,985 0,956 1,015 variable 2 4,937 2,698 9,032 In R multilevel logistic regression using statistical package 'lmer' gives us an OR=10.2 (95% CI 6.3-14), p=0.24, n=338, groups: group 1, 98; group 2 84. OR lower upper gender 2,295-2,840 7,430 age 0,003-70,047 70,054 variable 2 10,176 6,295 14,056 The crosstabs gives us: variable A Var B 0 1 0 156 108 1 17 57 Would somebody know how it is possible that in SPSS we get p0.001 and in R we get p=0.24? [[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.
