Description

This training will familiarize participants with the use of IBM SPSS Statistics for the typical data analysis process. Participants will learn the basics of reading, defining, modifying and analyzing data, as well as presenting analysis results. Participants will also see how easy it is to integrate their data into IBM SPSS Statistics and then focus on analyzing the information. In addition to becoming familiar with the basic principles of the tool, participants will discover shortcuts that will allow them to save time. This course uses the basic functionality of IBM SPSS Statistics.

Who is this training for ?

For whom ?

Anyone with little or no experience using IBM SPSS Statistics Anyone who is using a statistical package for data analysis for the first time Anyone considering purchasing the IBM SPSS Statistics tool

/p>

Prerequisites

Knowledge of IBM SPSS Statistics is not necessary, but a basic understanding of the software's objectives and functions is a plus

Training objectives

Discover the features of IBM SPSS Statistics

Know how to read data and define metadata

Learn how to transform variables

Be able to use functions to calculate variables

Understand how to merge data files

Be able to select cases for analyses

Summarize individual variables

Be able to describe relationships between variables

Learn to create presentation-ready tables with custom tables

Know how to customize pivot tables

Be able to create and customize charts

Training program

• INTRODUCTION À IBM SPSS STATISTICS
  • Review basic concepts in IBM SPSS Statistics
  • Identify steps in the research process
  • Review basic analyses
  • Use help
• READ DATA AND DEFINE METADATA
  • Data sources overview
  • Read data from databases
  • Read data from Microsoft Excel
  • Set properties variables
• TRANSFORM VARIABLES
  • Calculate new variables
  • Recode nominal, ordinal and scale variable values
  • Create a numeric variable from a string variable
  • Explore advanced variable transformations
• USE FUNCTIONS TO CALCULATE VARIABLES
  • Use statistical functions
  • Use logical functions
  • Use missing value functions
  • Use conversion functions
  • Use system variables
  • Use the Data and Time Wizard
• DEFINE 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 ANALYZES
  • Select a case for analysis
  • Run analyzes for subgroups
• SUMMARY INDIVIDUAL VARIABLES
  • Set measurement levels
  • Summarize categorical variables with frequencies
  • Summarize scale variables with frequencies and descriptors
• DESCRIBE THE RELATIONSHIP BETWEEN THE 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 TABLES
  • Identify table layouts
  • Create tables for variables with categorical categories
  • Create tables for variables representing a multiple answer question
• CUSTOMIZE DYNAMIC CROSSTABLES
  • Perform automated output editing
  • Customize pivot tables in the Pivot Table Editor
  • Use table templates
  • Export pivot tables to other applications
• CREATE AND CUSTOMIZE GRAPHICS
  • Use the chart builder to create different types of charts
  • Customize charts in the chart editor
  • Use chart templates
  • Export pivot tables to other applications
• WORKING WITH SYNTAX
  • Use syntax to automate analyses
  • Use the syntax editor environment
  • Create and edit syntax
  • Run the syntax
• ENVIRONMENTAL CONTROL IBM SPSS STATISTICS
  • Describe the features of the Options dialog box
  • Reset variable display
  • Set default working data folders