Multivariate Data Analyse

Step-by-step plan for the MVDA SPSS test. All learning objectives have been incorporated into this. Clear and organized. Sorted by week, with each week a small overview of what to report for which type of question. I got a 10 with this. For questions, please send a message.

Summary part 2

Summary

This document contains most (almost all) of the workgroup's important assignments incorporated into an exam guide. The type of question is printed in bold, with the steps below on how to process it in SPSS (to possibly take to your exam, but if you no longer understand the question/no longer know how and what)) This document contains most (if not all) important exercises from the workgroups incorporated into an exam guide. The type of question is in bold, with the accompanying steps on how t...

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 contai...

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 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.

Summary courseware Multivariate Data Analysis