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GRD: An SPSS extension command for generating random data

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Doi: 10.20982/tqmp.10.2.p080

Harding, Bradley , Cousineau, Denis
Keywords: Statistics Teaching , Data Simulations , Sampling
Tools: SPSS
(no sample data)   (Appendix)

To master statistics and data analysis tools, it is necessary to understand a number of concepts, manyof which are quite abstract. For example, sampling from a theoretical distribution can help individuals explore andunderstand randomness. Sampling can also be used to build exercises aimed to help students master statistics. Here, we present GRD (Generator of Random Data), an extension command for SPSS (version 17 and above). With GRD, it is possible to get random data from a given distribution. In its simplest use, GRD will return a set of simulated data from a normal distribution.With subcommands to GRD, it is possible to get data from multiple groups, over multiple repeated measures, and with desired effectsizes. Group sizes can be equal or unequal. With further subcommands, it is possible to sample from any theoretical population, (not simply the normal distribution), introduce non-homogeneous variances,fix or randomize subject effects, etc. Finally, GRD’s generated data are in a format ready to be analyzed.

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