Many texts are available to help graduate students and researchers design studies, understand statistical methods, and conduct analyses using standard software, but little exists that helps with the creation of data sets. Microsoft Excel has evolved into a remarkably sophisticated data entry and statistical analysis system, with an extensive toolkit that can make these processes efficient and accurate. This is a practical step-by-step guide to using Excel in the data preparation process. The book includes plentiful screenshots, text boxes summarizing important points, examples from across the social sciences, and questions at the end of each chapter. In addition, a sample dataset will be available online for students to download and use for all the examples and exercises throughout the text. This brief book is intended to familiarize students, teachers, and researchers with the Excel toolkit, and provide strategies that ease the task of data creation and analysis.

Exporting to Statistical Software

OK, you've gotten your data into Excel, you've made sure everything looks good, you've checked your data. You're finally ready to import your data into your statistical software. Of course, there are a few issues to consider in this final step.

Exporting from Excel

A Brief Checklist

Before you move data into your statistical software, here is a list of issues you may want to check. Doing so can prevent problems later.

  • □ If you want to be careful, check your variable names one more time. Make sure they are all compliant with the restrictions on variable names for your statistical software, make sure there are no duplicates, and make sure there are no spaces in the names.
  • □ Make sure date and time variables ...
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