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Introduction to SPSS

Introduction to SPSS. Edward A. Greenberg, PhD. ASU HEALTH SOLUTIONS DATA LAB. January 7, 2013. Files for this workshop. Files can be downloaded from: http ://www.public.asu.edu/~ eagle/spss or (with less typing): http:// tinyurl.com/aa8crpn. SPSS Overview.

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Introduction to SPSS

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  1. Introduction to SPSS Edward A. Greenberg, PhD ASU HEALTH SOLUTIONS DATA LAB January 7, 2013

  2. Files for this workshop Files can be downloaded from: http://www.public.asu.edu/~eagle/spssor (with less typing): http://tinyurl.com/aa8crpn

  3. SPSS Overview • SPSS Statistics is a software package used for statistical analysis. • It is now officially named "IBM SPSS Statistics". • SPSS uses a graphical user interface. • Most operations are “point and click”.

  4. Availability of SPSS • Installed on most Health Solutions faculty and staff computers • Available via MyApps for installation on faculty, staff and student computers via University site license • Run in ASU Online Applications environment (Citrix) via MyApps • ASU Computing Sites on all campuses

  5. Basic Steps in Data Analysis

  6. Getting Data into SPSS Statistics • Open a previously saved SPSS Statistics data file • Read another type of file • Spreadsheet • Database • Text data file • Enter your data directly in the SPSS Data Editor

  7. SPSS Data Files The SPSS Data Editor window has two views. • Data View shows a spreadsheet of cases (rows) and variables (columns). • Variable View displays the metadata dictionary, where each row represents a variable and shows the variable name, type, and other attributes.

  8. SPSS Data Editor Data View

  9. SPSS Data Editor Variable View

  10. Variable Attributes

  11. Variable Attributes VARIABLE NAME Variable names must be unique. Variable names may be up to 64 characters in length. Names can contain letters, numbers, or special characters. Names must start with a letter or @, #, or $.

  12. Variable Attributes DATA TYPE • Numeric • 40 character maximum length • Integers or numbers with decimals • Dates and times (various formats) • Other variations of numeric (currency, comma, scientific notation, etc.) • String • 32,767 maximum length • Can contain any characters

  13. Variable Attributes VARIABLE WIDTH For numeric variables, the width of the number that is displayed. String variables can be up to 32,767 characters long.

  14. Variable Attributes DECIMALS Number of decimal places displayed for numeric variables Allowable values are 0 thru (width-1)

  15. Variable Attributes VARIABLE LABEL A descriptive label for a variable Up to 255 characters in length Variable labels can contain spaces and reserved characters that are not allowed in variable names.

  16. Variable Attributes VALUE LABELS You can assign descriptive labels for each value of a variable Particularly useful if your data file uses numeric codes to represent non-numeric categories (for example, codes of 1 and 2 for male and female) Value labels can be up to 120 characters.

  17. Variable Attributes MISSING VALUES Allows you to distinguish between data that are missing for different reasons. You can specify up to three discrete (individual) missing values, a range of missing values, or a range plus one discrete value. Missing values are excluded from most calculations. By default, an empty cell for a numeric variable is treated as missing.

  18. Variable Attributes COLUMN WIDTH The display width of a variable in the Data Editor Affects only the display of values in the Data Editor Does not change the defined width of a variable. Column widths can also be changed in Data View by clicking and dragging the column borders.

  19. Variable Attributes ALIGNMENT Controls the display of data values and/or value labels in Data View The default alignment is right for numeric variables and left for string variables. This setting affects only the display in Data View.

  20. Variable Attributes LEVEL OF MEASUREMENT

  21. Variable Attributes ROLE Some dialogs support predefined roles that can be used to pre-select variables for analysis. Roles include Input (the default), Target, Both, None and several others.

  22. Data Transformations The Transform menu includes routines which perform transformations on selected variables. These include the following, among others:

  23. Running Procedures • Most procedures are accessed via the Analyze menu. • Procedures are grouped according to type, e.g., Reports, Descriptive Statistics, Compare Means, Tables, General Linear Model, and so on.

  24. Running Procedures Dialog boxes for statistical procedures and charts typically have two basic components: • Source variable list A list of variables in the active dataset. Only variable types that are allowed by the selected procedure are displayed in the source list. • Target variable list(s) One or more lists indicating the variables that you have chosen for the analysis, such as dependent and independent variable lists.

  25. SPSS Viewer Results are displayed in the Viewer

  26. SPSS Help and Other Resources SPSS Help Menu

  27. SPSS Help and Other Resources Tutorial videos (in Flash format) are available from Central Michigan University at http://calcnet.mth.cmich.edu/org/spss/toc.htm Raynald Levesque maintains an excellent SPSS‐related web site with many helpful resources at http://www.spsstools.net/ The CONHI Data Lab can help you with SPSS: NHI1 391, CONHISTAT@ASU.EDU, (602) 496‐DATA* Many excellent books are available on SPSS * Email probably is the best way to reach us

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