SPSS Statistics Essential Training (2012)
with Barton Poulson
In this course, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and data analysis in SPSS, the statistical package for business, government, research, and academic organization. From importing spreadsheets to creating regression models to exporting presentation graphics, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application.
Topics include:
Importing and entering data
Creating descriptive charts
Modifying and selecting cases
Calculating descriptive and inferential statistics
Modeling associations with correlations, contingency tables, and multiple regression
Formatting and exporting tables and charts
Introduction 2m 58s
Welcome 1m 5s
Using the exercise files 40s
Using a different version of the software 1m 13s
1. Getting Started 19m 0s
Taking a first look at the interface 11m 49s
Reading data from a spreadsheet 7m 11s
2. Charts for One Variable 21m 54s
Creating bar charts for categorical variables 7m 18s
Creating pie charts for categorical variables 2m 54s
Creating histograms for quantitative variables 5m 45s
Creating box plots for quantitative variables 5m 57s
3. Modifying Data 33m 10s
Recoding variables 5m 33s
Recoding with visual binning 5m 33s
Recoding by ranking cases 5m 26s
Computing new variables 5m 37s
Combining or excluding outliers 5m 21s
Transforming outliers 5m 40s
4. Working with the Data File 28m 12s
Selecting cases 6m 44s
Using the Split File command 5m 12s
Merging files 5m 33s
Using the Multiple Response command 10m 43s
5. Descriptive Statistics for One Variable 22m 14s
Calculating frequencies 8m 43s
Calculating descriptives 5m 31s
Using the Explore command 8m 0s
6. Inferential Statistics for One Variable 16m 3s
Calculating inferential statistics for a single proportion 6m 6s
Calculating inferential statistics for a single mean 5m 39s
Calculating inferential statistics for a single categorical variable 4m 18s
7. Charts for Two Variables 30m 43s
Creating clustered bar charts 7m 10s
Creating scatterplots 5m 8s
Creating time series 3m 24s
Creating simple bar charts of group means 4m 17s
Creating population pyramids 3m 0s
Creating simple boxplots for groups 3m 3s
Creating side-by-side boxplots 4m 41s
8. Descriptive and Inferential Statistics for Two Variables 45m 28s
Calculating correlations 8m 17s
Computing a bivariate regression 6m 27s
Creating crosstabs for categorical variables 6m 34s
Comparing means with the Means procedure 6m 33s
Comparing means with the t-test 6m 4s
Comparing means with a one-way ANOVA 6m 30s
Comparing paired means 5m 3s
9. Charts for Three or More Variables 24m 30s
Creating clustered bar charts for frequencies 6m 34s
Creating clustered bar charts for means 3m 45s
Creating scatterplots by group 4m 13s
Creating 3-D scatterplots 4m 25s
Creating scatterplot matrices 5m 33s
10. Descriptive Statistics for Three or More Variables 30m 57s
Using Automatic Linear Models 11m 52s
Calculating multiple regression 9m 3s
Comparing means with a two-factor ANOVA 10m 2s
11. Formatting and Exporting Tables and Charts 29m 29s
Formatting descriptive statistics 6m 1s
Formatting correlations 7m 49s
Formatting regression 10m 19s
Exporting charts and tables 5m 20s
Conclusion 51s
What's next 51s
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