Join Barton Poulson for an in-depth discussion in this video Examining frequencies for categorical variables, part of SPSS Statistics Essential Training.
- Whenever you're beginning an analysis,…one of your most important tasks is to…get a sound understanding of the…individual variables that you're dealing with.…That way you can understand whether they meet…the assumptions or the statistical tests…that you'll do later, and how some of their…quirks might influence your interpretation.…SPSS offers several options for…basic descriptive statistics.…I'm going to start by showing you the frequencies command…for categorical variables as nominal or ordinal.…And especially the one-click descriptives that SPSS now has.…
For instance, what I'm going to do is,…I'm going to pick the income category variable,…and by clicking on the variable and…highlighting the whole thing, I can then…come up to this command right here.…That's the little Greek "mu"…for the mean that's on top of this.…And it says, "Run descriptive statistics."…Now, it knows that this is a categorical variable.…Let me show you how.…If I double-click on the name of this,…you see that over here it has its measure set as ordinal.…
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: Examining frequencies for categorical variables