IBM 0G51BG - Statistical Analysis Using IBM SPSS Statistics (V26)

Course Outline

Introduction to statistical analysis 

• Identify the steps in the research process 
• Identify measurement levels 

Describing individual variables 

• Chart individual variables 
• Summarize individual variables 
• Identify the normal distribution 
• Identify standardized scores 

Testing hypotheses 

• Principles of statistical testing 
• One-sided versus two-sided testing 
• Type I, type II errors and power 

Testing hypotheses on individual variables 

• Identify population parameters and sample statistics 
• Examine the distribution of the sample mean 
• Test a hypothesis on the population mean 
• Construct confidence intervals 
• Tests on a single variable 

Testing on the relationship between categorical variables 

• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of independence 
• Assumptions 
• Identify differences between the groups 
• Measure the strength of the association 

Testing on the difference between two group means 

• Chart the relationship
• Describe the relationship 
• Test the hypothesis of two equal group means 
• Assumptions

Testing on differences between more than two group means 

• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of all group means being equal 
• Assumptions
• Identify differences between the group means 

Testing on the relationship between scale variables 

• Chart the relationship 
• Describe the relationship 
• Test the hypothesis of independence 
• Assumptions 
• Treatment of missing values 

Predicting a scale variable: Regression 

• Explain linear regression 
• Identify unstandardized and standardized coefficients 
• Assess the fit 
• Examine residuals 
• Include 0-1 independent variables 
• Include categorical independent variables

Introduction to Bayesian statistics 

• Bayesian statistics and classical test theory 
• The Bayesian approach 
• Evaluate a null hypothesis 
• Overview of Bayesian procedures in IBM SPSS Statistics 

Overview of multivariate procedures 

• Overview of supervised models 
• Overview of models to create natural groupings

Objective

Introduction to statistical analysis 

• Identify the steps in the research process
• Identify measurement levels

Describing individual variables 

• Chart individual variables
• Summarize individual variables
• Identify the normal distribution
• Identify standardized scores

Testing hypotheses 

• Principles of statistical testing
• One-sided versus two-sided testing
• Type I, type II errors and power

Testing hypotheses on individual variables 

• Identify population parameters and sample statistics
• Examine the distribution of the sample mean
• Test a hypothesis on the population mean
• Construct confidence intervals
• Tests on a single variable

Testing on the relationship between categorical variables 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of independence
• Assumptions
• Identify differences between the groups
• Measure the strength of the association

Testing on the difference between two group means 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of two equal group means
• Assumptions

Testing on differences between more than two group means 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of all group means being equal
• Assumptions
• Identify differences between the group means

Testing on the relationship between scale variables 

Chart the relationship

Describe the relationship

Test the hypothesis of independence

Assumptions

Treat...

Prerequisites

Experience with IBM SPSS Statistics (version 18 or later), or  Completion of the IBM SPSS Statistics Essentials course

Audience

IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS Statistics Base. Anyone who wants to refresh their knowledge and statistical experience.