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IBM SPSS Statistics Essentials (V26)
Course Description
Overview
This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.
Objectives
Introduction to IBM SPSS Statistics
- Review basic concepts in IBM SPSS Statistics
- Identify the steps in the research process
- Review basic analyses
- Use Help
Reading data and defining metadata
- Overview of data sources
- Read from text files
- Read data from Microsoft Excel
- Read data from databases
- Define variable properties
Selecting cases for analyses
- Select cases for analyses
- Run analyses for groups
- Apply report authoring styles
Transforming variables
- Compute variables
- Recode values of categorical and scale variables
- Create a numeric variable from a string variable
Using functions to transform variables
- Use statistical functions
- Use logical functions
- Use missing value functions
- Use conversion functions
- Use system variables
- Use the Date and Time Wizard
Setting the unit of analysis
- Remove duplicate cases
- Create aggregate datasets
- Restructure datasets
Merging data files
- Add cases from one dataset to another
- Add variables from one dataset to another
- Enrich a dataset with aggregated information
Summarizing individual variables
- Define levels of measurement
- Summarizing categorical variables
- Summarizing scale variables
Describing the relationship between variables
- Choose the appropriate procedure
- Summarize the relationship between categorical variables
- Summarize the relationship between a scale and a categorical variable
Creating presentation-ready tables with Custom Tables
- Identify table layouts
- Create tables for variables with shared categories
- Create tables for multiple response questions
Customizing pivot tables
- Perform Automated Output Modification
- Customize pivot tables • Use table templates
- Export pivot tables to other applications
Working with syntax
- Use syntax to automate analyses
- Create, edit, and run syntax
- Shortcuts in the Syntax Editor
Controlling the IBM SPSS Statistics environment
- Set options for output
- Set options for variables display
- Set options for default working folders
Audience
• New users of IBM SPSS Statistics • Users who want to refresh their knowledge about IBM SPSS Statistics • Anyone who is considering purchasing IBM SPSS Statistics
Prerequisites
Knowledge of your business requirements
Topics
Introduction to IBM SPSS Statistics
- Review basic concepts in IBM SPSS Statistics
- Identify the steps in the research process
- Review basic analyses
- Use Help
Reading data and defining metadata
- Overview of data sources
- Read from text files
- Read data from Microsoft Excel
- Read data from databases
- Define variable properties
Selecting cases for analyses
- Select cases for analyses
- Run analyses for groups
- Apply report authoring styles
Transforming variables
- Compute variables
- Recode values of categorical and scale variables
- Create a numeric variable from a string variable
Using functions to transform variables
- Use statistical functions
- Use logical functions
- Use missing value functions
- Use conversion functions
- Use system variables
- Use the Date and Time Wizard
Setting the unit of analysis
- Remove duplicate cases
- Create aggregate datasets
- Restructure datasets
Merging data files
- Add cases from one dataset to another
- Add variables from one dataset to another
- Enrich a dataset with aggregated information
Summarizing individual variables
- Define levels of measurement
- Summarizing categorical variables
- Summarizing scale variables
Describing the relationship between variables
- Choose the appropriate procedure
- Summarize the relationship between categorical variables
- Summarize the relationship between a scale and a categorical variable
Creating presentation-ready tables with Custom Tables
- Identify table layouts
- Create tables for variables with shared categories
- Create tables for multiple response questions
Customizing pivot tables
- Perform Automated Output Modification
- Customize pivot tables
• Use table templates - Export pivot tables to other applications
Working with syntax
- Use syntax to automate analyses
- Create, edit, and run syntax
- Shortcuts in the Syntax Editor
Controlling the IBM SPSS Statistics environment
- Set options for output
- Set options for variables display
- Set options for default working folders
Related Courses
-
Statistical Analysis Using IBM SPSS Statistics (V26)
0G51BG- Duration: 16 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 1,790.00 USD
-
Statistical Analysis Using IBM SPSS Statistics (V26)
0K51BGS- Duration: 16 Hours
- Delivery Format: Self-Paced Training
- Price: 863.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor.
If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
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If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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