Universität Wien

240090 UE MM1 - Methods of Quantitative Research in Development Studies (2021S)

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

Die LV startet digital und wird, wenn es die Covid-Bestimmungen wieder zulassen, auf Vor-Ort umgestellt.

  • Monday 08.03. 09:45 - 11:15 Digital
  • Monday 15.03. 09:45 - 11:15 Digital
  • Monday 22.03. 09:45 - 11:15 Digital
  • Monday 12.04. 09:45 - 11:15 Digital
  • Monday 19.04. 09:45 - 11:15 Digital
  • Monday 26.04. 09:45 - 11:15 Digital
  • Monday 03.05. 09:45 - 11:15 Digital
  • Monday 10.05. 09:45 - 11:15 Digital
  • Monday 17.05. 09:45 - 11:15 Digital
  • Monday 31.05. 09:45 - 11:15 Digital
  • Monday 07.06. 09:45 - 11:15 Digital
    Seminarraum 6, Kolingasse 14-16, EG00
  • Monday 14.06. 09:45 - 11:15 Digital
    Seminarraum 6, Kolingasse 14-16, EG00
  • Monday 21.06. 09:45 - 11:15 Digital
    Seminarraum 6, Kolingasse 14-16, EG00
  • Monday 28.06. 09:45 - 11:15 Digital
    Seminarraum 6, Kolingasse 14-16, EG00

Information

Aims, contents and method of the course

This 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 marked according to 3 different homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.

Minimum requirements and assessment criteria

Students should prove a good command (at least 50%) of each topic 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)

I. Introduction

William Easterly (2009): "The Anarchy of Success," The New York Review of Books, 56(15), October.
SZ: Chapter 1

II. Descriptive statistics

NCT: Chapters 1 and 2.
SZ: Chapter 2

III. Probability

NCT: Chapter 3.
SZ: Chapter 3

IV. Random variables

NCT: Chapters 4-6.
SZ: Chapters 4-6

V. Inference

NCT: Chapters 7-10.
SZ: Chapters 7-9

VI. Regression Analysis

NCT: Chapters 11-13.
SZ: Chapter 10

Miguel Niño-Zarazúa (2012): “Quantitative Analysis in Social Sciences: A Brief Introduction for Non-Economists,” manuscript, WIDER.

Association in the course directory

MM1

Last modified: Fr 12.05.2023 00:20