- When you enter or import data into SPSS,…you may want to know a person's average score…on a series of variables, but it's usually a good idea…to bring in the raw data, not a summarized version.…That way, you can recode or modify…from the original information.…Also, some procedures, such as calculating…the internal reliability of a questionnaire…require the complete raw data.…Now, once you bring the data in, though,…and recode it as necessary,…you can then compute the average scores…or maximum or spread or whatever interests you.…
Using SPSS as extremely flexible Compute command.…That's what we're going to look at in this particular movie.…Now, what I'm going to do for this example…is I'm going to scroll to the end of the data set here.…And you see that we have a whole collection…of variables about whether a particular person…has a wireless phone, whether they have multiple…lines at home, voicemail, pager.…All the way through whether they own a TV or a VCR.…I actually still own a VCR.…But this lets you know that the data's…
- Build charts, scatterplots, and box plots
- Calculate descriptive statistics such as means and standard deviations
- Use inferential statistics such as t-tests and chi-squares
- Enter and read data
- Create new variables and crosstabulations
- Model associations with correlations, contingency tables, and multiple-regression analysis
- Format and export presentations to share your data
Plus, learn how to extend the power of SPSS with Python and R. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work.
Skill Level Beginner
1. Getting Started
2. Charts for One Variable
3. Modifying Data
4. Working with the Data File
5. Descriptive Statistics for One Variable
6. Inferential Statistics for One Variable
7. Charts for Associations
8. Statistics for Associations
9. Sharing Results
10. Extending SPSS
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