Course Outline

  • Getting started with SPSS
  • Obtaining, Editing, and saving Statstical output
  • Manipulating Data
  • Descriptive Statistics Procedures
  • Evaluating Score Distribution Assumptions
  • t Tests
  • Univariate Group Differences: Anova and Ancova
  • Multivariate Group Dfferences: Manova
  • Nonparametric procedures for ananlysing frequesncy data
  • Correlations
  • Regression with Quantitative Variables
  • Regression with Categorical Variables
  • Principal Components Analysys and Factor Analysis
  21 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

Testimonials (4)

Related Courses

Data Analytics With R

  21 Hours

Related Categories