SPSS & R

Within two days you will learn how to prepare your data for data analysis in IBM SPSS Statistics and how to perform basic and some more advanced statistical analysis like correlations, comparison of two means and different kinds of analyses of variance and regression analyses. During this course, we will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.

Participate in our online course for SPSS, from your own office. All you need is a computer with internet access and audio to participate!

In this course, we will demonstrate how to prepare your data for data analysis in IBM SPSS Statistics and how to perform basic and some more advanced statistical data analysis like correlation and regression analysis and the comparison of two or more groups/means using t-tests and analyses of variance. We will focus on the application of these methods given some real-life inspired data from medical, economic and sociological studies. We will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size.

During this course, you will be able to ask questions and get answers from our SPSS Statistics experts.

Within two days you will learn how to prepare your data for data analysis in IBM SPSS Statistics and how to perform basic and some more advanced statistical analysis like correlations, comparison of two means and different kinds of analyses of variance and regression analyses. During this course, we will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.

Please note this is a bring your own laptop course! The course is aimed at both Windows and Mac users.

Within two days you will learn how to prepare your data for data analysis in IBM SPSS Statistics and how to perform basic and some more advanced statistical analysis like correlations, comparison of two means and different kinds of analyses of variance and regression analyses. During this course, we will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.

Within three days you will learn how to prepare your data for data analysis in R (using R-Studio) and how to perform basic and some more advanced statistical data analysis like correlation and regression analysis and the comparison of two or more groups/means using t-tests and analyses of variance. We will focus on the application of these methods given some real-life inspired data from medical, economic and sociological studies. We will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.

Within two days you will learn how to prepare your data for data analysis in IBM SPSS Statistics and how to perform basic and some more advanced statistical analysis like correlations, comparison of two means and different kinds of analyses of variance and regression analyses. During this course, we will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.