Prospectus

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Multivariate Data Analysis (IBP)

Course
2015-2016

Students of the Dutch bachelor’s programme, see Multivariate data-analyse

Entry requirements

  • To be admitted to the Multivariate Data Analysis (MVDA) course, students must have successfully completed the Introduction to Methods and Statistics and Inferential Statistics courses.

  • The MVDA course forms an admission requirements for the third-year bachelors’ project.

  • To be admitted to the Multivariate Data Analysis (MVDA) course, students must have successfully completed the Introduction to Methods and Statistics and Inferential Statistics courses.

  • The MVDA course forms an admission requirements for the third-year bachelors’ project.

Description

This course provides students with an overview of the standard models for the multivariate analysis of psychological research data. Different models are suitable for different types of data. Examples of such models include regression analysis and variance analysis, as well as more advanced versions of these models. Students learn how to answer a research question by using a model. In addition, they learn to work with relevant statistical software.

Course objectives

  • Knowledge and understanding of the key concepts and foundational principles of the standard models for multivariate data analysis;

  • Learning which analytical method to use to answer a particular type of research question; and

  • Acquiring skills in working with statistical software for multivariate data analysis.

Timetable

For the timetables of your lectures, workgroups, and exams, select your study programme.
Psychology timetables

Registration

Course

Students need to register for lectures, workgroups and exams.
Instructions for registration in courses for the 2nd and 3rd year of the IBP

For information on registration periods consult the bachelor course registration

Examination

Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the date; students who are not registered will not be permitted to take the examination.
Registering for exams

Mode of instruction

7 2-hour lectures, 7 1-hour computer practicals and 7 2-hour work group sessions.
In the lecture, a lecturer introduces the week’s material and clarifies its most important topics. The material presented in the lectures forms part of the examination material. Students are expected to prepare for the lectures by studying the relevant material from the course book. The lectures contribute primarily to course objectives A and B.
The computer practicals and work group sessions take place on other days of the week than the lectures. Attendance is compulsory for both practicals and work group sessions. During the computer practicals students practise data analysis on the basis of assignments. Comparable assignments are also used in the 2-skills tests. Students are expected to bring a storage medium to the practical. The computer practicals primarily contribute to course objective C.
Students are expected to prepare for the work group sessions by completing a number of assignments and handing them in prior to the session. The completed assignments are discussed during the work group sessions. Students are also expected to give a minimum of one presentation. In addition, they are offered the opportunity to practise new assignments during the work group sessions. At the end of the week, a short elaboration of the assignments is published on Blackboard. The work group sessions contribute to course objectives A, B and C.

Assessment method

The final grade for the course is based on 2 partial grades. The final grade is determined by making a weighted sum of the 2 partial grades: Final grade = 0.6 x (Grade 1) + 0.4 x (Grade 2)
Grade 1 is the grade obtained for the examination. The examination comprises 40 multiple-choice questions with 4 answer alternatives. This examination primarily assesses course objectives A and B. Grade 2 is a combination of 3 results. One of these is the result of the computer skills test. The other 2 results are the compulsory attendance requirements for the computer practicals and the workgroup sessions. The skills tests consist of open questions and are conducted in computer rooms. These tests focus primarily on course objectives B and C. Insufficient attendance cannot be compensated for.

Regulation on grade calculation.

The Faculty of Social and Behavioural Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud.

Reading list

MVDA Workbook. In addition to assignments for the practicals and workgroup sessions, this workbook also contains various texts, all of which are also part of the examination material. The workbook can be ordered from Readeronline.

Contact information