IBM SPSS Statistics Essentials (V26) – 0K53BG

Course Name:

IBM SPSS Statistics Essentials (V26)

0K53BG

Skill Level:

Basic

Modality:

SPVC – Self-Paced Virtual Training

Duration:

2 Day/s

Price:
Request Quote

Overview:

In this course, you will learn how to read data files, transform variables, run analyses, and report your results using IBM SPSS Statistics (V26).

 

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.


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Target 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

[List]

Prerequisites:

Knowledge of your business requirements

Topic:

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 MiCR – Classroom Trainingosoft 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
  • CR – Classroom Trainingeate 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
  • CR – Classroom Trainingeate 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

 

DesCR – Classroom Trainingibing the relationship between variables 

  • Choose the appropriate procedure
  • Summarize the relationship between categorical variables
  • Summarize the relationship between a scale and a categorical variable

 

CR – Classroom Trainingeating presentation-ready tables with Custom Tables 

  • Identify table layouts
  • CR – Classroom Trainingeate tables for variables with shared categories
  • CR – Classroom Trainingeate 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
  • CR – Classroom Trainingeate, 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

Objective:

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 MiCR – Classroom Trainingosoft 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
  • CR – Classroom Trainingeate 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
  • CR – Classroom Trainingeate 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

 

DesCR – Classroom Trainingibing the relationship between variables 

  • Choose the appropriate procedure
  • Summarize the relationship between categorical variables
  • Summarize the relationship between a scale and a categorical variable

 

CR – Classroom Trainingeating presentation-ready tables with Custom Tables 

  • Identify table layouts
  • CR – Classroom Trainingeate tables for variables with shared categories
  • CR – Classroom Trainingeate 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
  • CR – Classroom Trainingeate, 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

Remarks:

Category:

Data and AI

Product Name:

IBM SPSS Statistics

Badge and Certification Info:

0

Brand: 

Analytics

Follow on Courses:

 

 

Replaced By:

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

spss;statistics;ibm spss;analytics;frequencies;CR – Classroom Trainingosstabs;metadata;custom tables

VMWare-Based (simple) (10)

Lab Access Duration: 30

 

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