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