This course is available for students in the BA Urban Studies programme and to a limited amount of external students.
In this course students will get familiar with basic concepts in methodology and descriptive statistics necessary to conduct research in Urban Studies, such as the empirical cycle, spatial analysis with use of Geographic Information Systems (GIS), central tendency and variability, the normal distribution, relationsips between variables and describing and explaining variance.
Students will acquire practical skills of data analysis through several assignments that are imbedded in urban research.
Together with the course Data Collection Methods, the course will form the compulsory basis for methodology courses in the second year.
General learning outcomes
See tab Additional information for the overview of the programme's general learning outcomes. In the assessment methods below is outlined which general learning outcome will be tested through which method.
Course objectives, pertaining to this course
The student is able to:
1) describe core concepts of methods and techniques in Urban Studies such as the emprirical cycle, variables, measurement level, central tendency and variability, distributions, association, experimental design.
2) describe basic concepts in desciptive statistics such as measures of central tendency and variability, measures of association, and elementary geospatial data concepts (data formats, vector/raster, projections,and spatial tools).
3) use SPSS for descriptive statistics and will have elementary skills in using ArcGIS for spatial analysis.
Mode of instruction
Lecture (compulsory attendance)
Tutorial (compulsory attendance)
This means that students have to attend every tutorial session of the course. If a student is unable to attend a tutorial or lecture, they should inform the lecturer in advance, providing a valid reason for absence. The teacher will determine if and how the missed session can be compensated by an additional assignment. If they are absent from a tutorial without a valid reason, they can be excluded from the final exam in the course.
Tutorial assignments (covering SPSS and ArcGIS).
-measured programme's general learning outcomes: 4, 7, 11, 16, 19, 21, 23, 25
-measured course specific objectives: 1-3
Written examination with closed questions (e.g. multiple choice)
-measured programme's general learning outcomes: 7, 16-17
-measured course specific objectives: 1-2
To successfully complete the course, please take note of the following:
All assignments need to be evaluated as ‘sufficient’ in order to obtain an end grade
if any of these assignments is insufficient, the student will get an obligatory extra assignment that needs to be evaluated as ‘sufficient’ in order to obtain the end grade
The exam grade needs to be at least 5.5 to pass
Hence, the student passes the course if (1) all (replacement-) assignments are evaluated as sufficient and (2) the exam grade is 5.5 or higher
If the final exam grade is lower than 5.50, there is a possibility of retaking the final exam, replacing the previous final exam grade.
Faculty regulations concerning participation in resits are listed in article 4.1 of the Faculty Course and Examination Regulations.
Inspection and feedback
How and when an exam review will take place will be disclosed together with the publication of the exam results at the latest. If a student requests a review within 30 days after publication of the exam results, an exam review will have to be organised.
Howell, D. (2012). Statistical Methods for Psychology, International Edition. (8th Edition).
Leary, M.L. (2012). Introduction to Behavioral Research Methods (6th edition). Boston: Pearson.
Pallant, J. (2016). SPSS Survival Manual (6th edition). Berkshire: McGraw-Hill.
Examples will be used from Knox & Pinch (2010). Urban Social Geography: An Introduction (6th edition). London & New York: Routledge.
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