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 elect one of the following modules:
- UCACCMET2A: Analysis of Behavioral Data
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.
- UCACCMET2B: Analysis of Societal Data
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.
- UCACCMET2C: Analysis of Econometric Data
This module focuses on the analysis of time series based on economic data. However, trend analysis is used in many other fields of research, i.e. climate change, evolution, age/generation related research. This module is recommended for students with an interest in economics, especially econometrics, but may be interesting for students in many other fields.
- UCACCMET2D: Qualitative Research Techniques
This module is recommended for students with an interest in non-quantitative data, as often used in for instance anthropology.
Usually we offer modules B en D in the Fall and modules A and C in the Spring. This may, however, change in the future!
The summer course (UCACCMET22) is equivalent to the Fall and Spring classes. It satisfies all the same requirements as the fall and spring classes. However, the content of the course is predetermined.
Prerequisites: Introduction to Methods and Statistics I
For all UCU 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 requirements:
- at least a D- on the SPSS proficiency test
- at least a D+ average on the two theory tests (that is, an F on one test must be compensated by a grade of B- or higher on the other test, etc.)
Students who do not satisfy one or more of the above requirements can qualify by taking and passing, as an entrance exam, the second theory test of Methods and Statistics I, offered in the final week of fall and spring semesters and at the end of the summer break. Students who do self-study of the material (for example, students who did a statistics course somewhere else, or science majors who have studied the material on their own) may also sit the qualifying test at these times.
Students who have received an F on the SPSS proficiency test will be asked to re-take this test, offered in the second to last week of every semester or at the end of summer break.
For questions about requirements or to register for tests contact Dr. Kirsten Namesnik. See the UCU calendar for upcoming testing dates.
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, behavioral, and economic sciences who plan to go into research. Theories in social, behavioral, 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 modeling to test their theories. Modern modeling software avoids difficult mathematical equations. The emergence of these powerful and easy-to-use modeling tools makes it important for students to understand both the possibilities and limitations of such techniques.
Prerequisites: At least one of the following courses must be completed with a passing grade: UCACCMET22 or UCACCMET23.