SPSS: Cleaning and Preparing Your Data For Accurate Analyses

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About This Course

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This course on data cleaning contains a great amount of detail and was designed to give you step-by-step examples for everything from anticipating data cleaning needs to determining what to do with missing data that will surely impress your colleagues and committee.  With our lectures we also provide the PowerPoint slides and other very helpful supporting materials that you can download to use for practice or for your own data project.

One of the most challenging yet rewarding academic experiences that one can accomplish is earning a doctoral degree.  However, many doctoral students - especially those in fully or partial online programs - struggle with the early stages of developing their dissertation.

It is extremely important to plan all aspects your dissertation study with an end goal in mind because decisions that you make during early stages can, and likely will, have an impact on later stages and the final production of your project.  This course is designed for students and professional researchers who are either about to begin analyzing their study data, or who are in the process of developing their data collection method.

However, the course is not limited to those who are in a doctoral program or who are conducting a dissertation project.  Others who will find the course to be helpful include undergraduate students, early career researchers, and those who wish to learn about the process of conducting rigorous research studies.

In addition to the technical skills, here is what you will get from the course:

• Anticipate cleaning before or during collection

• Why not all missing data are the same

• Importance of recording the cleaning process and decisions

• What part of cleaning to report in a manuscript

• Understand reasons for deleting cases from your data