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