- 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…
Author
Released
11/17/2014- 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
Duration
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Introduction
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Welcome1m 13s
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1. Getting Started
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Touring the interface7m 48s
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Setting options5m 17s
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Getting help2m 52s
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Using the built-in data sets2m 22s
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2. Charts for One Variable
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3. Modifying Data
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Recoding variables6m 49s
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Reversing values with syntax6m 56s
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Creating dummy variables3m 19s
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Recoding with Visual Binning5m 32s
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Computing new variables6m 52s
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Automatic data preparation3m 46s
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4. Working with the Data File
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Selecting cases5m 8s
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Splitting files3m 57s
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5. Descriptive Statistics for One Variable
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6. Inferential Statistics for One Variable
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7. Charts for Associations
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Side-by-side boxplots3m 34s
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Scatterplots4m 33s
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Scatterplots by groups2m 59s
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3D scatterplots3m 16s
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Scatterplot matrices3m 32s
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Heat maps3m 23s
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Choropleth for one variable4m 54s
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Choropleth for two variables3m 28s
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8. Statistics for Associations
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Correlation5m 23s
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Bivariate regression6m 46s
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Multiple regression10m 20s
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Automatic Linear Modeling5m 45s
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9. Sharing Results
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Exporting charts and tables4m 24s
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Web reports2m 33s
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The Smartreader3m 23s
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10. Extending SPSS
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Using Python in SPSS4m 40s
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Using R in SPSS10m 2s
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Conclusion
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Next steps1m 23s
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Video: Computing new variables