So you don’t have to remember that Job Category (jobcat) 1 is “Clerical,” 2 is “Custodial,” and 3 is “Managerial. It lists out the labels for all the values for each variable. I find the information I use the most are the labels and the missing data codes.Įven more useful, though, is the Value Label table. The first includes the following information on the variables. Simply choose Display Data File Information and Working File.ĭoing this gives you two tables. There is a nice little way to get a few tables with a list of all the variable metadata. Or even just to print them out for yourself for easy reference. The UNIANOVA command has added several versions of a robust approach (Huber-White sandwich estimator) that has been shown to be useful in regression models (I illustrate HC3 below, which Long & Ervin, 2000, recommend for small samples). Spending the time to set up variable information makes data analysis much easieryou don’t have to keep looking up whether males are coded 1 or 0. SPSS unfortunately does not have a Welch's test that can be used with factorial ANOVA. This includes variable labels, missing data codes, value labels, and variable formats. But sometimes you need to just print them all out–to create a code book for another analyst or to include in the output you’re sending to a collaborator. One of the nice features of SPSS is its ability to keep track of information on the variables themselves. Spending the time to set up variable information makes data analysis much easier–you don’t have to keep looking up whether males are coded 1 or 0, for example.Īnd having them all in the variable view window makes things incredibly easy while you’re doing your analysis.

One of the nice features of SPSS is its ability to keep track of information on the variables themselves.

Unianova spss code