CP508 DATA ANALYSIS FOR PLANNERS

Course Code:8530508
METU Credit (Theoretical-Laboratory hours/week):3 (2.00 - 2.00)
ECTS Credit:8.0
Department:City Planning
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:
Offered Semester:Spring Semesters.

Course Objectives

The main objective of this course is to improve the capacity of students in data preparation and analysis. This includes different stages such as entering data, preparing data for analysis, selection of appropriate techniques for data presentation and analysis. Furthermore, the course aims to make students competent in using SPSS.


Course Content

Codebook preparation, data entry, data screening and cleaning, descriptive analysis, scale reliability, statistic selection, correlation, multiple regression, logistic regression, factor analysis, chi-square, and ANOVA will be covered throughout the course.


Course Learning Outcomes

Students who pass the course satisfactorily will be able to:

  • use SPSS for data entry, code book preparation and analysis purposes
  • clean and prepare data for statistical analysis in planning issues
  • select appropriate techniques for data presentation and analysis