Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base. Anyone who wants to refresh their knowledge and statistical experience.
ip between scale variables
? Chart the relationship between two scale variables
? Describe the relationship: Correlation
? Test on the correlation
? Assumptions for testing on the correlation
? Treatment of missing values
Predict a scale variable: Regression
? What is linear regression?
? Explain unstandardized and standardized coefficients
? Assess the fit of the model: R Square
? Examine residuals
? Include 0-1 independent variables
? Include categorical independent variables
Introduction to Bayesian statistics
? Bayesian statistics versus classical test theory
? Explain the Bayesian approach
? Evaluate a null hypothesis: Bayes Factor
? Bayesian procedures in IBM SPSS Statistics
Overview of multivariate procedures
? Overview of supervised models
? Overview of models to create natural groupings
Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation. Familiarity with the windows in IBM SPSS Statistics either by experience with IBM SPSS Statistics (version 18 or later) or completion of the IBM SPSS Statistics Essentials (V25) course.