SPSS Practice: Setting Up a Data Set

For this discussion, you will be practicing data entry. We made the task a bit easier by linking a basic data set in Resources, the Emotional Well-Being (SF-36) Study (file attached). Refer to the additional helpful links in Resources as you prepare your post, and remember to follow the guidelines in the Faculty Expectations message (FEM).

Your objective is to simply perform data import from an Excel data file to SPSS (as this is often how you will obtain data from non-researchers). First, upload the Emotional Well-Being data setlinked in Resources (note this is an Excel file, so you will need to convert it for use in SPSS). Hint: Select the appropriate scale for each variable.

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Identifying data levels – Data sets may have many different levels of data. The skill you will practice is learning to quickly look through labels in a data view and know immediately what type of data level you are looking at.
Run frequencies in SPSS – Frequencies are run on all levels of variables. Running frequencies helps youto identify problems with missing or out of range values for your variables. Frequencies will provide you with tables and pie charts to help you analyze the data.
Run the Explore module – The Explore module is run on the scale (interval or ratio) level data and the ordinal level data. It presents all the information you need to make decisions about ordinal and above level data (for example, 95% CI of the mean). Because of the way Explore works, it is less helpful with nominal data.
Be sure to save a copy of this newly created SPSS data set titled Emotional_Well-Being_(your initials) to the file folder you created for your SPSS work. You will use this data set again in later units.


What did you use for your variables (nominal, ordinal, interval, ratio)?
What were the measures of central tendency?Standard deviation?Minimum?Maximum?
Describe one or two of the challenges you found while performing these exercises and how you resolved the issues. Where appropriate, provide the address of any website that helped you.


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