Join Barton Poulson for an in-depth discussion in this video Comparing two or more means: One-Way ANOVA, part of SPSS Statistics Essential Training.
- The independent T-test that we covered in the last movie…allows you to compare the means of two separate groups.…But if you have more than two separate groups then…you don't really want to use multiple T-tests even…though I mentioned that's a possibility.…For instance, if you had three groups you could compare…group one and two, and then one and three, and then…two and three, but you don't want to do that because…that elevates the possibility of getting a false positive or…what's called a "Type-one Error" somewhere in your results.…Instead you want to do a one way analysis of variance,…which allows you to see whether there's any difference…between the means of several groups all at once.…
Let's do this by going up to analyze and go to Compare Means…again, but instead of using the Independence Samples T-Test…we're gonna come down to the bottom to the One-Way ANOVA,…which is for analysis of variance.…There we can pick several outcome variables at once,…if we want to.…I'm gonna pick just one.…I'm gonna do job satisfaction, I'll put that in right there.…
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: Comparing two or more means: One-Way ANOVA