Survey Research Methods

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

- Demonstrate a critical understanding of the challenges in
cross-cultural survey research (e.g., measurement equivalence of data
from different cultural populations).
- Demonstrate a critical understanding of the concepts and theories
used, as well as key topics covered, in the top academic journals on
cross-country consumer research, including the role of culture at the
country level and cultural differences within countries.
- Effectively apply cross-cultural frameworks to understand real-life
international marketing problems and to design solutions to those
problems.
- Communicate and collaborate effectively with an international cohort
of classmates to design and produce case solutions or other
presentations, provided in English, to both academic and professional
audiences.

Inhoud vak

Survey research is one of the most important areas of measurement in
applied social research. In the major journals in marketing strategy
(JM, JMR, JAMS), about 33% of the articles use surveys (Hulland et al.,
2017) and in marketing research in practice about 50% of turnover is in
survey research. The main focus in the course will be on survey
methodology and analysis of survey data. The examples used and the data
you work with will not only be survey data collected from hundreds of
students, but also high quality data from different nations.
In the course students will learn the theory of survey research
including sampling and weighting of respondents. In addition, students
will obtain knowledge on analyzing survey data using e.g., factor
analysis, multiple regression analysis, regression with dummy variables,
and moderation analysis. These techniques will be practiced while
programming in SPSS syntax to enable obtaining reproducible research.

Onderwijsvorm

Lectures (4 hours per week); computer tutorial on programming in SPSS,
and analyzing data with this package (2 hours per week)

Toetsvorm

Obligatory individual assignment (30%) and individual written exam
(70%), each to be completed with a 5.0 minimum

Vereiste voorkennis

Customer and Marketing Analytics

Algemene informatie

Vakcode E_MKT_SRM
Studiepunten 6 EC
Periode P4
Vakniveau 400
Onderwijstaal Engels
Faculteit School of Business and Economics
Vakcoördinator prof. dr. H. van Herk
Examinator prof. dr. H. van Herk
Docenten prof. dr. H. van Herk

Praktische informatie

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Werkvormen Hoorcollege, Werkgroep, Computerpracticum
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