Re: Imputing missing data for binomial logistic regression

Posted by Martin Holt-3 on Jul 30, 2019; 3:07pm
URL: http://spssx-discussion.165.s1.nabble.com/Imputing-missing-data-for-binomial-logistic-regression-tp5738180p5738215.html

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On Monday, 22 July 2019, 15:40:22 BST, XIAOYING LIU <[hidden email]> wrote:

Hello, all. I sent out this message last Friday, but have not got any response. I am sending this again, and hope to get some advice on this question. I am using binomial logistic regression to predict students' retention. The outcome variable is 1=retained, 0= not retained. One of the predictors is students' high school GPA, which is a continuous variable. 30% of students in the data set did not provide their high school GPA. I am using a lower version of SPSS, so the multiple imputation procedure is not available in the software. Is there a better way to impute these missing data? Thanks!

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