Seminarinhalt
Programm
- Identify the steps in the research process
- Identify measurement levels
- Chart individual variables
- Summarize individual variables
- Identify the normal distribution
- Identify standardized scores
- Principles of statistical testing
- One-sided versus two-sided testing
- Type I, type II errors and power
- 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
- Chart the relationship
- Describe the relationship
- Test the hypothesis of independence
- Assumptions
- Identify differences between the groups
- Measure the strength of the association
- Chart the relationship
- Describe the relationship
- Test the hypothesis of two equal group means
- Assumptions
- Chart the relationship
- Describe the relationship
- Test the hypothesis of all group means being equal
- Assumptions
- Identify differences between the group means
- Chart the relationship
- Describe the relationship
- Test the hypothesis of independence
- Assumptions
- Treatment of missing values
- Explain linear regression
- Identify unstandardized and standardized coefficients
- Assess the fit
- Examine residuals
- Include 0-1 independent variables
- Include categorical independent variables
- Bayesian statistics and classical test theory
- The Bayesian approach
- Evaluate a null hypothesis
- Overview of Bayesian procedures in IBM SPSS Statistics
- Overview of supervised models
- Overview of models to create natural groupings
Zielgruppen
Vorkenntnisse
- Experience with IBM SPSS Statistics (version 18 or later), or
- Completion of the IBM SPSS Statistics Essentials course