Introduction to IBM SPSS Statistics (V20)

Derivative Works Courses are developed by an IBM authorized Global Training Provider. The content of the course is based on IBM products and services. It offers skills or services that IBM does not offer in the course catalog today and are intended to compliment our existing portfolio. The course is developed by the Training Provider. IBM solely provides a market place to advertise the courses on our external websites, ibm.com/training and lists the Global Training Provider who owns the content.

Introduction to IBM SPSS Statistics is a two day instructor-led classroom course that guides You through the fundamentals of using IBM SPSS Statistics for typical data analysis process. You will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. You will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, You will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

Profil uczestnika

• Anyone with little or no experience in using IBM SPSS Statistics
• Anyone who is new to using a statistical package for data analysis
• Anyone who is considering purchasing IBM SPSS Statistics

Agenda

Introducing IBM SPSS Statistics

• Explain the basic steps of data analysis using IBM SPSS Statistics
• Describe the roles of the primary windows within IBM SPSS Statistics
• Describe the basic layout of IBM SPSS Statistics dialog boxes Reading Data
• Describe the choices on the File menu to read and save data files

Read Excel files

• Read from an Access database
• Read delimited text files Variable Properties
• Describe all of the variable properties
• Define variable properties in the Variable View window
• Define variable properties using the Define Variable Properties dialog
• Save variable properties with data in an IBM SPSS Statistics data file
• View variable properties interactively using Variables Utility
• View variable properties in tables using Display Data Dictionary facility and Codebook procedure

Working with the Data Editor

• Use features in the Data Editor
• Use Spell Checker Insert, delete, and move variables and cases
• Use Split Screen View Copy information from one dataset to another
• Use the Copy Data Properties feature Summarizing Individual Variables Define 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 procedures to produce tables and charts for scale variables Modifying DataValues
• Use the features of Visual Binning to group a scale variable
• Use the features of Recode into a Different Variable for categorical variables
• Use the features of Automatic Recode to create a numeric variable from a string variable

Describe the features of Compute Variable

• Create new variables with numeric expressions
• Create new variables with conditional numeric expressions Describing 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 Selecting Cases
• Describe and use the features of the Select Cases dialog
• Describe and use the features of the Split File dialog

Creating and Editing Charts

• Use the Chart Builder to create various types of graphs
• Format and edit the graph in the Chart Editor
• Output in the Viewer
• Navigate through the Viewer
• Customize a pivot table
• Create and apply a template for a pivot table
• Export output to other applications

Syntax Basics

• Use the Syntax Editor environment
• Create syntax
• Run syntax
• Edit syntax using auto-completion of commands

Wymagane przygotowanie uczestników

• Experience using applications, such as word processors or spreadsheets, in the Microsoft Windows, Macintosh or Linux environment.
• Experience with IBM SPSS Statistics is not necessary, though a basic understanding of purpose andfunctions of the software is helpful
• No statistical background is necessary