Course Details
SPSS Software Training
Course description
This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.
Course outline
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
SPSS Software
Course description
This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.
Course outline
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