To gain knowledge and expertise in the following methods of analysis: Bivariate and Multiple Linear Regression Analysis, Path Analysis and Logistic Regression. To be able to apply this knowledge for the analysis of empirical data.
Students are advised to attend the tutorials. Attendance of SPSS-practicals is obligatory. Students are required to complete the assignments for the SPSS-practicals suffiently.
The final grade of this course is based on the grade of the multiple-choice final exam. The multiple-choice final exam will consist of 30 questions. In 3 lectures, students get a quiz at the beginning of the lecture that will be graded. Taking the 3 quizzes is completely voluntary and there will no resit-opportunity offered. If a student passes a quiz with the grade 5.5 or higher, then the student earns that on the final multiple-choice exam 1 wrong answer will be compensated. In this way, the student can maximally compensate 3 wrong answers on the multiple-choice final exam.
Students pass the course if:
Their mark on the final examination is 5.5 or higher AND they have met the requirements of the SPSS-practicals.
The SPSS practicals need to be completed in the year in which one follows this course. The compensation of wrong answers on the multiple-choice final exam via the quizzes only applies to the two final exam opportunities that are offered in the academic year in which this course is taught.
Recommended PrerequisitesKnowledge of descriptive and inferential statistics
During the course the following subjects will be discussed:
- Linear Regression Analysis (including dummy variables and interaction effects)
- Path Analysis
- Logistic Regression Analysis
Type of instructions
lectures, tutorials, SPSS practicals (attendance at practicals obligatory)
Type of exams