Students will be familiarized with a series of quantitative techniques that allow them to do quantitative data analyses such that these analyses may serve as a base for scientific publication. Students will learn about the theoretical backgrounds of these methods as well as learn how to carry out the analyses on existing data using state-of-the-art software packages.
Students will learn how to apply advanced quantitative methods as part of a study design, with the broader aim of answering a specific research question.
The course will consist of a series of lectures on specific techniques, followed a few days later by a computer practical where the techniques are practiced on a given data set. The techniques addressed in this course include:
The last two weeks of the course, students will work on a loosely structured assignment, in which they answer a research question based on a given data set. The assignment includes choice of the appropriate technique(s), the appropriate variables, interpretation of the results and reporting all this in a working paper. Results will be presented in a seminar, where feedback is given by peers and supervisor.
Logistic regression and ordered logit models
|Je moet voldoen aan de volgende eisen|
- Ingeschreven voor een opleiding van de faculteit Faculteit Geowetenschappen
- Ingeschreven voor één van de volgende opleidingen
- Urban and Economic Geography
- Ingeschreven voor een andere opleiding dan
Voorkennis kan worden opgedaan met
|Descriptive statistics (frequency distributions, measures of central tendency and dispersion, cross tabulation), and deductive statistics (t-test, chi-square test, ANOVA, linear regression, correlation analysis).|
Bronnen van zelfstudie
|Self-study of descriptive statistics, and deductive statistics (t-test, chi-square test, ANOVA, linear regression, correlation analysis)|
|Field, A. (2009), Discovering Statistics Using SPSS, Sage, Los Angeles. Chapters 2, 3, 4, 6, 7.1-7.4., 9, 10||Verplicht materiaal|
|Field, A. (2009), Discovering Statistics Using SPSS, Sage, Los Angeles. Chapters 7, 8, 17, 19. Norusis (Chapter 16) cluster analysis
Hanneman and Riddle (2005) Network analysis|
AlgemeenQuantitative analytical techniques will be taught in lectures, followed by computer tutorials. In the last 4 weeks, students work on a free assignment, aimed at independently carrying out a quantitative study on a given dataset. Three seminars are planned in which students present and discuss intermediate and final products and receive feedback.
Voorbereiding bijeenkomstenStudents prepare for lectures by reading the relevant chapters from the study materials.
Voorbereiding bijeenkomstenFor the seminars, students prepare short presentations of their research projects.
Bijdrage aan groepswerkStudents work in small groups (2-3) on the final assignment. Each student will contribute to formulation of research questions, choice of analytical techniques, analysis using SPSS or another statistical package, interpretation of results and reporting.
Beoordeling• Written exam (50%)
• Group assignment (50%)