For students of the Dutch bachelor’s programme in Psychology: Experimenteel en Correlationeel Onderzoek
Admission requirements
This course is a continuation of the Introduction to Research Methods and Statistics course, and presupposes the knowledge and skills taught there.
Description
This course covers the basic methods used in the analysis of data obtained from correlational and (quasi-)experimental research: (multiple) regression analysis and analysis of variance.
Course objectives
- To obtain knowledge and understanding of the principles and procedures of regression analysis and analysis of variance, statistical techniques used in the analysis of (quasi) experimental research.
- To choose, carry out, assess and represent the correct analysis in a given situation.
- To obtain skills in working with statistical software concerning regression analysis and analysis of variance.
Note: A complete list of course objectives is available on Blackboard.
Timetable
Experimental and Correlational Research (2014-2015):
Registration
Course
First year students are automatically enrolled in the courses. Other students need to enroll for lectures and work group sessions. First year students need to enroll for examinations via usis.
Course
First year students are automatically enrolled in the courses. Other students need to enroll for lectures and work group sessions. Please consult the Instructions 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
The Experimental and Correlational Research course will be taught over eight successive weeks. There are weekly lectures and work group sessions in which we work with or without computers. At the end of the week extra work group sessions are offered, which, again, involve working with or without computers.
Each week the course will begin with a lecture to introduce and explain course material. During the lecture some extensions and new material are also discussed. The material given in the lecture is therefore also part of the examination material. As preparation for the lectures students should study the chapters prescribed for that week in the syllabus. The focus in the lectures is to obtain knowledge and understanding of the principles and procedures of regression analysis and analysis of variance (Course objective 1).
On one of the days following the lecture, there will be a mandatory work group session. In the work group sessions the focus will be on obtaining knowledge and understanding of the principles and procedures of regression analysis and analysis of variance (Course objective 1). In addition, students will practise choosing, carrying out, assessing and representing the adequate analysis in a certain situation (Course objective 2); and obtaining skills in working with statistical software concerning regression analysis and analysis of variance (Course objective 3). Active participation during the work group sessions is mandatory.
In the extra work group sessions at the end of the week students are offered the opportunity to get some extra practice in statistical calculations, by hand or using SPSS. All students who would like this extra support are free to attend these sessions.
Assessment
The assessment consists of two components:
A written examination consisting of 40 multiple-choice questions, each with four alternatives, covering both theory and statistical calculations from the literature, the work group sessions, and the lectures.
An SPSS skills test covering the various aspects of students’ skills of working with SPSS as well as describing the analysis output.
The final grade will be a weighted average of the examination grade (0.7) and the grade for the SPSS skills test (0.3). To receive the course credits students must get a final grade of 5.5 or higher, and both examination and skills test grade must be 5.0 or higher.
Within thirty days of the final exam results students will have the opportunity to attend a review session on their examination performance.
Regulations on grade calculation in the propaedeutic phase
The Faculty of Social 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
Blackboard
The Experimental and Correlational Research course is supported by the Blackboard digital learning environment. Blackboard will be used to place announcements, provide study material (lecture slides, assignments, etc.) and practice questions, and to provide participants with an opportunity to consult with course instructors and fellow-students.
Literature and Course Material
Howell, D.C. (2014). Statistical Methods for Psychology (Leiden edition). Wadsworth: Cengage Learning.
Pallant, J. (2013). SPSS Survival Manual. Berkshire: McGraw-Hill.
IBM SPSS Statistics for Windows, Version 21. Released 1012. Armonk, NY: IBM Corp., [www.surfspot.nl: 19.75 euro]. The DVD contains the following digital manuals:
- IBM SPSS Statistics 21 Brief Guide
- IBM SPSS Statistics 21 Core System User’s Guide
- IBM SPSS Statistics Base 21
Extra material provided on BlackBoard (Lecture slides, assignments, etc.)
Information on which of the chapters, or sections of chapters, from the literature above are considered part of the course material can be found on Blackboard.
Labyrint Book Service
If you are a member of the study association Labyrint you may purchase books at a reduced price via their study book service. Alternatively there are the academic book shops.
Contact
(SPSS) Coordinator - Drs. C.J. Verduin
Methods and Statistics Unit, Room 3B22
E-mail: verduin@fsw.leidenuniv.nl