COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

The focus of this course is an introduction to the statistical component of SPSS. This is an application-oriented course and the approach is practical. You'll take a look at several statistical techniques and discuss situations in which you would use each technique, the assumptions made by each method, how to set up the analysis using SPSS as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing underlying relationships. You will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, and interpret their output, and graphically display the results using SPSS. 

 

This course is designed to provide participants with a detailed and up-to-date overview of statistical analysis using SPSS. It covers  the principles of research design and process; the data cleaning and preparation using the add-on data preparation module; the categorical data and summarize continuous data; measuring central tendency and dispersion; checking the form of distribution; the probability, inferential statistics and categorical variables; interpreting the measures of association and the mean differences between groups through T Test; the bivariate plots, correlations and regression and multiple regression; and the main differences between groups through one-factor ANOVA.