Abstract
In this chapter, I cover analyses with SPSS (v. 16 or lower) following multiple imputation with Norm 2.03. This chapter also applies to newer versions of SPSS that do not have the MI module installed. The chapter is split into three parts: (a) preliminary analyses for testing reliability, including exploratory factor analysis; (b) hypothesis testing analyses with single-level, multiple linear regression; and (c) hypothesis testing with single-level, multiple (binary) logistic regression (I also touch on other hypothesis testing analysis, such as multilevel regression with the Mixed routine).
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Notes
- 1.
It is best that this output file be named “results.sav”. However, it also works to make this output file a temporary SPSS file, and give it an arbitrary name (e.g., “xxx”). After the analysis task is complete, be sure that the new file is the active screen and then load and run the syntax file, “spss2.sps”. When you run that syntax file, there will be errors, but the correct actions are taken.
- 2.
Remember. If you named the output file, “results.sav”, then you can load the syntax file, spss2.sps, and run it from any SPSS window. However, if you gave the results file another, temporary, name, then you must load the SPSS Data Editor window corresponding to that name, and load and run spss2.sps from that window.
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© 2012 Springer Science+Business Media New York
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Graham, J.W. (2012). Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03. In: Missing Data. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4018-5_4
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DOI: https://doi.org/10.1007/978-1-4614-4018-5_4
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