UCACCMET12: Research in Practice – Methods and Statistics for the Social Scientist
This course gives a general introduction to research Methodology and Statistics for the Social Sciences. The methodology introduction includes the logic and design of social research and some specific techniques. The introduction to statistics includes descriptive statistics, covering graphs, measures of central tendency and variation, distributions, and measures of association. It also includes inferential statistics, such as t-tests, Chi-square tests, correlation, and regression.
UCACCMET22: Methods and Statistics II (Applied Multivariate Statistics)
The summer course is equivalent to UCACCMET23 (see below). It satisfies all the same requirements as the fall and spring classes. However, the content of the course is predetermined.
UCACCMET23: Methods and Statistics II (Applied Multivariate Statistics)
This course covers the theory and application of multivariate statistical models. The techniques that are dealt with include multiple regression analysis, ANOVA, factorial ANOVA, ANCOVA, repeated measures analysis, and MANOVA. These models can be used to investigate the relations among many variables simultaneously.
As part of this course, students must select one of the following modules:
This module is recommended for students with an interest in different areas of psychology and cognitive sciences and focuses mainly on factor analysis and reliability analysis.
This module is recommended for students with an interest in sociology, economics, geography, criminology, empirical political sciences, social psychology and focuses mainly on logistic regression analysis.
Check Osiris to see which modules are on offer each semester.
Prerequisites: UCACCMET12: Research in Practice – Methods and Statistics for the Social Scientist
For all University College Utrecht courses students must earn a C- or better in the prerequisite courses. To qualify for admission to Methods and Statistics II, students must satisfy the following additional requirement:
- at least a D- on the SPSS proficiency test
UCACCMET24: Qualitative Inquiry in Everyday Life
The purpose of this course is to equip students to critically design, conduct, report, read, and evaluate qualitative research projects and methodologies, e.g., ethnography, grounded theory, and discourse analysis. The course has the dual aim of equipping students with conceptual understandings of different methods and the practical skills to put those methods into practice. It covers the classic sources of qualitative data, such as interviews, focus groups, and participant observation, and deals with modern sources of data, such as visual materials, internet, and social media. It also discusses data analysis methods, in particular, thematic analysis and the integrative procedures that support qualitative data analysis. The course will train students in understanding the life cycle of a qualitative research project, from design to data collection, analysis, reporting and dissemination.
UCACCMET31: Methods and Statistics III (Structural Equation Modeling: The Analysis of "Causal" Models)
This course is aimed at students in social, behavioural, and economic sciences who plan to go into research. Theories in social, behavioural, and economic science are becoming more complex as modern research produces data that requires sophisticated analysis methods. As a result, social scientists use increasingly complex statistical modelling to test their theories. Modern modelling software avoids difficult mathematical equations. The emergence of these powerful and easy-to-use modelling tools makes it important for students to understand both the possibilities and limitations of such techniques.
Prerequisites: UCACCMET22 or UCACCMET23.