Course Content

• Introduction to statistical analysis
• Data checking
• Describing categorical data
• Exploratory data analysis: scale data
• Probability and inferential statistics
• Comparing categorical variables
• Mean differences between groups
• Bivariate plots and correlations: scale variables

• Fundamental concepts in inferential statistics
• Descriptive statistics
• Comparison of two means with z-test and t-test
• Comparison of means with analysis of variance (ANOVA)
• Comparison of means with two-way analysis of variance
• Hypothesis testing with analysis of covariance
• Descriptive statistics
• Comparison of two means with z-test and t-test
• and much more…

What you will learn

• Comparison of means with analysis of variance (ANOVA)
• Comparison of means with two-way analysis of variance
• Introduction to regression
• Mean differences between groups: one factor anova
• Introduction to multiple regression
• Alternative exercises
• Understanding the capabilities of SPSS software
• Cleaning, coding and data entry in SPSS
• Choosing the correct statistical test to run
• Interpreting SPSS output
• Statistical analysis of SPSS data output

Requirements & who can attend

No experience required.

Suitable for: Anyone new to SPSS who would like to improve their ability to understand and report on data with the reliability of statistical significance to supporting their results.

Learn by doing

• Learn the basics of the SPSS software program
• You will gain proficiency in how to produce and interpret a number of different descriptive statistics in SPSS
• Correlation and regression analyses, using SPSS
• Nonparametric statistics with SPSS