SPSS: Stats Practically Short and Simple

    This textbook is for people who want to know how to use SPSS for analysing data, who want practical help in as short a time as possible. The author has considerable experience in teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.

content :- 

• An Overview
  1. Getting In
  2. Frequencies
  3. Exporting your Output to Word
  4. Drawing charts
  5. Exercise
  6. Moving Around
• Entering Data
  1. Introduction
  2. Entering Data directly
  3. Defining Variables
  4. Adjusting the width
  5. Variable names
  6. Entering data via a spreadsheet
  7. Adding Variable Labels
  8. Adding Value Labels
  9. Important note
  10. Finally
• Editing and Handling Data
  1. Correcting entries
  2. Deleting entries
  3. Copying cells, columns and rows
  4. Inserting a variable (a column)
  5. Inserting a case (a row)
  6. Moving columns
  7. Sorting data
  8. Saving data and output
  9. Exporting Output
  10. Saving Data as an Excel file
  11. Copying tables and charts into Word
  12. Printing from SPSS
  13. Recoding into groups
  14. Revision exercise
  15. Doing Calculations on Variables
  16. Selecting a subset
  17. Selecting a Random Sample
  18. Merging Files
  19. Adding Variables
  20. Adding cases
• Descriptive Statistics
  1. The Functions
  2. Finding Frequencies for Multiple Response Variables
  3. Tables are tricky!
• Charts
  1. Introduction
  2. A Simple Bar Chart
  3. A clustered bar chart
  4. Percentage Clustered Bar Chart using Legacy Dialogs
  5. With correct labels!
  6. A stacked % bar chart
  7. Drawing a panel bar chart
  8. Drawing a bar chart of more than one variable
  9. Drawing a pie chart
  10. Histogram
  11. Boxplots
• Regression and Correlation
  1. Introduction
  2. Scatter Diagrams
  3. Correlation
  4. Correlation and Causation
  5. Regression
  6. Multiple Regression
• Statistical Tests
  1. The One-Sample T test
  2. The Chi-Squared Test for contingency tables
  3. t-test for related samples
  4. t-test for the differences in the Means of independent samples
  5. Analysis of Variance
  6. Non-Parametric Tests
  7. Wilcoxon Signed-Ranks test for paired samples
• And finally