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INTRODUCTION TO SPSS Monday 7th November, 8:30am to 12:30pm Please RSVP by Tuesday, 1st November 2016 Workshop Presenter Dr Paola Chives Research and Biostatistics Support Officer, Institute for Health
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How to fill out introduction to SPSS:

01
Start by opening the SPSS software on your computer.
02
Familiarize yourself with the main interface, which includes different menus and options for data analysis.
03
Before you can begin using SPSS, you will need to create a new project or open an existing one. Click on "File" and choose the appropriate option.
04
Once your project is open, you can import your data into SPSS. Click on "File" and select "Import Data" to choose the file you want to import. Ensure that your data is in a compatible format, such as CSV or Excel.
05
After importing your data, it will be displayed in the Data Editor window. Take some time to review your data and ensure that it is correctly imported.
06
You can now start performing various data analysis tasks using SPSS. This can include running statistical tests, creating charts and graphs, or exploring the data visually.
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Use the various menus and options available in SPSS to analyze your data according to your research or analysis goals.
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Once you have completed your analysis, you can export the results or save your project for future reference.
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Remember to save your work regularly to avoid losing any progress.

Who needs introduction to SPSS:

01
Students studying statistics or research methods: SPSS is commonly used in academic settings, so students who need to analyze data for assignments or research projects would benefit from learning how to use it.
02
Researchers and professionals in various fields: SPSS is widely used in research across different fields such as social sciences, healthcare, marketing, and finance. Professionals working in these areas may need to analyze large amounts of data and would benefit from an introduction to SPSS.
03
Data analysts and decision-makers: SPSS provides powerful data analysis tools that can assist in making informed decisions. Individuals working in data analysis roles or those involved in making data-driven decisions would find SPSS useful.

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