Universität Wien

240090 UE MM1 - Methods of Quantitative Research in Development Studies (2023S)

5.00 ECTS (2.00 SWS), SPL 24 - Kultur- und Sozialanthropologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 06.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 20.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 27.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 17.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 24.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 08.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 15.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 22.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 05.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 12.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 19.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 26.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

This course is an introduction to applied statistics. The main goal of the course is for students to develop the necessary foundations and skills to implement quantitative empirical research independently. Students are required to make "hands-on" applications of the material studied in the course.

Assessment and permitted materials

Students will be graded according to 3 different homeworks (20% each) and a final project (40%).

Minimum requirements and assessment criteria

Students should prove a good command (at least 50%) of the course’s topics. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; above 85% a 1. Failure to hand in any of these implies a negative evaluation of the course.

Examination topics

There are no exams. The course’s main topics are descriptive statistics, probability, random variables, inference, regression analysis.

Reading list

The course has been prepared with two textbooks:

Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition, (NCT)

Shafer and Zhang (2012): Beginning Statistics (legally available online for free), (SZ)

Other introductory statistics textbooks are likely to provide very similar treatments.

Many examples have been borrowed from the following (rather entertaining) books:

Charles Wheelan (2013): Naked Statistics. Stripping the Dread from the Data, W.W. Norton.

Leonard Mlodinow (2008): The Drunkard'S Walk. How Randomess Rules Our Lives, Pantheon Books.

Nate Silver (2012): The Signal and the Noise. Why So Many Predictions Fail, But Some Don't, Penguin Books.

Association in the course directory

MM1

Last modified: Tu 24.01.2023 16:49