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SPSS: Quick Look


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SPSS: Quick Look

SPSS: Quick Look

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  • 1. SPSS: Quick Look
  • 2.                      
    Introduction: What is SPSS?
    Originally it is an acronym of Statistical Package for the Social Science but now it stands for Statistical Product and Service Solutions
    One of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions
    IBM SPSS Statistics 18 (formerly SPSS Statistics) puts the power of advanced statistical analysis in your hands.
  • 3. SPSS Program Flow
  • 4. 4
    Data Import Functions
    Primary Functions of the Data Import:
    Create SPSS data files from external files
    Modify, manipulate or enhance existing SPSS data files
    Successful Transfer data to accepted format for processing
  • 5. The Four Windows in SPSS
  • 6. The Four Windows: Data Editor
    Data Editor: Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be “sav.”
  • 7. The Four Windows: Output Viewer
    Output Viewer: Displays output and errors. Extension of the saved file will be “spv.”
  • 8. The Four Windows: Syntax editor
    Syntax Editor: Text editor for syntax composition. Extension of the saved file will be “sps.”
  • 9. The Four Windows: Script Window
    Script Window: Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be “sbs.”
  • 10. Launching SPSS
    The default window will have the data editor
    There are two sheets in the window:
    1. Data view 2. Variable view
  • 11. Click
    Data View window
    The Data View window
    This sheet is visible when you first open the Data Editor and this sheet contains the data
    Click on the tab labeled Variable View
  • 12. Variable View window: Type
  • 13. Click
    Saving the data
    To save the data file you created simply click ‘file’ and click ‘save as.’ You can save the file in different forms by clicking “Save as type.”
  • 14. Sorting the data
    Click ‘Data’ and then click Sort Cases
  • 15. Transforming data
    Click ‘Transform’ and then click ‘Compute Variable…’
  • 16. Click
    Transforming data
    Example: Adding a new variable named ‘numbers’ which is the natural log of height
    Type in numbers in the ‘Target Variable’ box. Then type in ‘numbers’ in the ‘Numeric Expression’ box. Click OK
  • 17. Frequencies
    This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables.
    This analysis shows the maximum, minimum, mean, and standard deviation of the variables
    Linear regression analysis
    Linear Regression estimates the coefficients of the linear equation
  • 18. Visit more self help tutorials
    Pick a tutorial of your choice and browse through it at your own pace.
    The tutorials section is free, self-guiding and will not involve any additional support.
    Visit us at