Introduction to IBM SPSS Statistics Training in Germany

There are no prerequisites for this course.

• Individuals with limited or no experience in using IBM SPSS Statistics
• Individuals new to using a statistical package for data analysis
• Individuals considering purchasing IBM SPSS Statistics

• Overview of IBM SPSS Statistics
• Read data
• Variable properties
• Work with the data editor
• Modify data values and recode
• Modify data values and compute
• Summarize individual variables
• Relationships between variables
• Select cases for analyses
• Create and edit charts
• Work in the viewer
• Syntax basics
• Menus and the help system

1. Introduction to IBM SPSS Statistics

• How IBM SPSS Statistics is used for basic analysis
• Basic steps in data analysis
• primary windows in IBM SPSS Statistics
• different components of dialog boxes

2. Reading Data

• Import data from different types of file formats
• choices on the File menu for reading data
• Read Microsoft Excel files
• Read files from a Microsoft Access database
• Read delimited text files

3. Defining Variable Properties

• variable properties in the Variable View window
• Use the Define Variable Properties dialog box
• Save variable properties with data in an IBM SPSS Statistics data file
• Use the Variables utility to view variable properties interactively
• Use the Display Data Dictionary facility and the Codebook procedure to view variable properties

4. Working with the Data Editor

• Use features in the Data Editor
• Insert, delete, and move variables and cases
• Use the Split Screen view
• Copy information from one dataset to another
• Use the Copy Data Properties feature

5. Modifying Data Values: Recode

• Use Visual Binning to reclassify values of an ordinal or scale variable
• Use Recode Into a Different Variable to reclassify values of a nominal variable
• Use Automatic Recode to create a numeric variable from a string variable

6. Modifying Data Values: Compute

• features of Compute Variable
• Create new variables with numeric expressions
• Create new variables with conditional numeric expressions

7. Summarizing Individual Variables

• Levels of measurement
• Use the Frequencies procedure to produce tables and charts appropriate for nominal variables
• Use the Frequencies procedure to produce tables and charts appropriate for ordinal variables
• Use the Frequencies and Descriptives procedure to produce tables and charts for scale variables

8. Relationships between Variables

• Select the appropriate procedure to summarize the relationship between two variables
• Use the Crosstabs procedure to summarize the relationship between categorical variables
• Use the Means procedure to summarize the relationship between a scale and a categorical variable

9. Selecting Cases for Analyses

• Select cases in a data file using various methods
• Use the features of the Select Cases dialog box
• Use the features of the Split File dialog box

10. Creating and Editing Charts

• Present results with charts
• Use the Chart Builder to create various types of graphs
• Format and edit graphs in the Chart Editor

11. Working in the Viewer

• Navigate through the Viewer
• Perform Automated Output Modification
• Customize a pivot table
• Create and apply a template for a pivot table
• Export output to other applications

12. Syntax Basics

• Use basic syntax to automate analyses
• Use the Syntax Editor environment
• Create syntax
• Run syntax
• Edit syntax

13. Menus and the Help System

• Use the menus
• Use the Toolbars
• Use all types of help in IBM SPSS Statistics