IBM SPSS Statistics Essentials (v25)

The IBM SPSS Statistics Essentials (v25) course is a 2-day course that is designed to teach students the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. They 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 fundamental topics, students will learn shortcuts that will help them save time.

Note: While class exercises are performed within a SPSS Statistics v25 environment, our expert instructors will provide guidance on all versions and their differences.?

• Overview of IBM SPSS Statistics
• Read data and define metadata
• Transforming variables
• Using functions to compute variables
• Setting the unit of analysis
• Merging data files
• Selecting cases for analyses
• Summarizing individual variables
• Describing relationships between variables
• Creating presentation-ready tables with Custom Tables
• Customizing pivot tables
• Creating and customizing charts
• Working with syntax
• Controlling the IBM SPSS Statistics environment

Data Analysts, BFFs and Business Analysts

No prerequisites are required for this course.

Introduction to IBM SPSS Statistics
• Review basic concepts in IBM SPSS Statistics
• Identify the steps in the research process
• Review basic analyses
• Use Help

Read data and define metadata
• Overview of data sources
• Read data from databases
• Read data from Microsoft Excel
• Define variable properties

Transform variables
• Compute new variables
• Recode values of nominal, ordinal, and scale variables
• Create a numeric variable from a string variable
• Explore advanced variable transformations

Use functions to compute variables
• Use statistical functions
• Use logical functions
• Use missing value functions
• Use conversion functions
• Use system variables
• Use the Data and Time Wizard

Set the unit of analysis
• Remove duplicate cases
• Create aggregated datasets
• Restructure datasets

Merge data files
• Add cases from one dataset to another
• Add variables from one dataset to another
• Enrich a dataset with aggregated information

Select cases for analyses
• Select case for an analysis
• Run analyses for subgroups

Summarize individual variables
• Define levels of measurement
• Summarizing categorical variables with Frequencies
• Summarizing scale variables with Frequencies and Descriptives

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

Create presentation-ready tables with Custom Tables
• Identify table layouts
• Create tables for variables with shared categorical
• Create tables for variables that represent a multiple response question

Customize pivot tables
• Perform Automated Output Modification
• Customize pivot tables in the Pivot Table Editor
• Use table templates
• Export pivot tables to other applications

Create and customize charts
• Use the Chart Builder to create various types of graphs
• Customize charts in the Chart Editor
• Use chart templates
• Export pivot tables to other applications

Work with syntax
• Use syntax to automate analyses
• Use the Syntax Editor environment
• Create and edit syntax
• Run syntax

Control the IBM SPSS Statistics environment
• Describe the features of the Options dialog box
• Reset the display of variables
• Set the default working data folders

Please check the course description to find prerequisite information.