| Academic year: | 2010-2011 |
| Course code module | 1MIPO_240 |
| Semester: | 2nd semester |
| Credits: | 3 |
| Study load (hours) | 84 |
| Theory (hours): | 8,00 |
| Practice/Exercises(hours): | 15,00 |
| Other (hours): | |
| Part-time program: | 2 |
| Instructor(s) | Peter Thijssen
|
| Language of instruction: | Dutch |
| Semester exam information: | exam in the 2nd semester |
| Contract restriction information: | exam and credit contract not possible |
1. Prerequisites
*Algemene competenties
Bachelor in Political Science, Bachelor in Communication Sciences or Bachelor in a related discipline
A good grasp of basic statistical tools
A basic insight in the concepts of poltical sociology
*Sequentiality
None
2. Objectives (expected learning outcomes)
To be able to construct valid and reliable measurement instruments for latent variables and to integrate them in a causal model.
3. Course content
In this course we will focus on the measurement of attitudes (latent variables) that occupy a central position in political sociology and political communication, such as political alienation, (political) opinion leadership, ethnocentrism, authoritarianism and individualism. On the one hand we will cover the main aspects of scaling techniques and on the other hand we will show how these measurement scales can be integrated in causal models (Lisrel).
4. Teaching method
Direct contact: Seminars (possible question and answer sessions)Skills training
Personal work: Assignments - individual
5. Assessment method
Continuous assessment: Exercises
Written assignment: Without oral presentation
6. Compulsory reading – study material
Reader based on a selection of chapters from the following textbooks:
Netemeyer, R.G., Bearden, W.O. & S, Sharma (2003) Scaling procedures. Issues and applications, London: Sage.
Robinson, J.P., Shaver, P.R. & L.S. Wrightsman (Eds.) (1999) Measures of political attitudes, San Diego: Academic Press.
Bollen, K.A. (1989) Structural equations with latent variables, New York: John Wiley & Sons
Hair et al. (2006) Multivariate Data Analysis (Sixth Ed.), New Jersey: Prentice Hall.
7. Recommended reading - study material
Nihil.
8. Tutoring
After class and by appointment.