Multivariate Data Analyse

This is a practice exam for Multivariate Data Analysis (Leiden University) I made myself based on the exercise book, workgroups, and lectures of all seven weeks. It contains 30 multiple-choice questions that are as realistic as possible; there is a balance between calculations and theory. It is an excellent way to test your knowledge and understanding of the course before the exam. The answers can be found at the bottom of the document.

This practice exam was made for the MDVA course in 2023, after the exam in June. I used the lecture slides and literature by Peter de Heus to create the questions. The outputs are taken from the MVDA workbook, but I have made some changes in them. I tried to create an exam similar to the one in June 2023, so I put approximately 3 calculation questions and 1 interpretation/theory question per week; the rest of the questions are test choice questions. Please note: this document doesn't contain...

This practice exam was made for the MDVA course in 2023, after the exam in June. I used the lecture slides and literature by Peter de Heus to create the questions. The outputs are taken from the MVDA workbook, but I have made some changes in them. I tried to create an exam similar to the one in June 2023, so I put approximately 3 calculation questions and 1 interpretation/theory question per week; the rest of the questions are test choice questions. Please note: this document doesn't contain...

Notes of all MVDA Lectures! Only Lecture 7 is not complete...

This extremely complete document describes MVDA's SPSS assignments, step by step. With clear explanations for executing the commands in SPSS and the correct answers. Ideal for making the assignments and perfect for during the SPSS test.

Summary for Multivariate Data Analysis (MVDA). It consists of the all lectures slide with extra notes. The extra notes consist of things the lecturer mentioned but that are not inserted in the slides on BlackBoard, tips from summaries of MVDA exam trainings, and extra examples. Topics discussed: Week 1 - Multiple Regression Analysis (MRA) Week 2 - Analysis of Variance (ANOVA) Week 3 - Analysis of Covariance (ANCOVA) Week 4 - Logistic Regression Analysis (LRA) Week 5 - Multivariate Analysis of V...

This is a summary of the textbook and two articles for the second year course Multivariate Data Analysis (MVDA) at Leiden University, 2018/2019. I summarized the textbook chapters as well as the two articles we had to read. THIS SUMMARY ALSO INCLUDES PICTURES FROM BOTH. It's a pretty detailed summary, so it contains everything you need to know! :)

All you need to pass the MvDA SPSS test in a compact document! Bullet points for easy use. I would recommend practicing with it, so you are faster on the test.

Summary courseware Multivariate Data Analysis