Quantitative Research Methods

PI 0339: SALZBERGER (Statistics and Mathematics / Marketing Management)
Winter Term 2017/2018

Webpages & Structure of a Unit | Textbook | Learning Outcomes | Topics | Grading | Presentations | Schedule | Evaluation

Dates Winter Term 2017/2018: Oct 3, 12, 19, 31 | November 9, 14, 21

Provisional dates Summer Term 2018: March 3, 15, 22 | April 19 | May 3, 17, 29 (subject to changes)

Latest update of this page / News

  • Last updated November 21, 2017; 17:35 (final grades)
  • The quizzes on topic 5 and 8 will be replaced by a task to be handed in on November 21 in the last unit or sent by email.
  • Current credits (also includes registration status)
  • For grading scheme, current credits and final grades (at the end of the semester) see Grading
  • Attendance in first unit is mandatory; if you really cannot attend, please contact as soon as possible.
  • The directory with the pdf Files is: (Copy and paste link into your browser). Please download pdf files from there. All files may only be used for educational purposes during this course.
  • Registration via LPIS.


Structure of a Unit

  • 15 min per topic: Written quiz (mostly multiple choice)
  • 60-75 min per topic: Presentation (including practical topic and contents as given below, 30 slides approx)
  • 15-30 min per topic: Discussion
  • Each class consists of two consecutive units (topics)

Text Book

The method seminar is based on the Research Methods - Knowledge Base by William M.K. Trochim and James P. Donelli. The material is available as a text book but can also be accessed and downloaded from a web page at no cost.
Based on selected chapters, you will prepare presentations that introduce the other participants to the topics. The objective is to trigger a lively discussion. You may devlop a short excercise, discuss a paper, include different views (other literature), etc. Your creativity is welcome. The allocation of the topics will be done in the introductory class.

Learning outcomes

  • The participants will familiarize themselves with the milestones (fundamentals and basic principles) of quantitative empirical research.
    At the end of the course, the participants should be able to comprehend quantitative studies and their results,
    and critically evaluate and challenge their scientific underpinning as well as design their own quantitative empirical projects.



The grading is based on two components:



October 3

Introduction - Organization
Particiation required

October 12

Topic 1 (=chapter 1): Anita Gerstbauer + Finn Laurien
Foundations of quantitative research
Keywords, Slides

Topic 2 (=chapter 2): Eneyew Gebremenfas
Keywords, Slides, Big data

October 19

quizzes on topics 1 and 2

Topic 3 (=chapter 3): Ann-Kathrin Herfeld
Keywords, Slides

Topic 3' (Applied measurement, ~chapters 3-5): Finn Laurien

October 31
Quiz on topic 3
Quiz on topic 5 replaced by a task to be completed and handed in on November 21 or sent by email
(replaces quizzes 5 and 8; up to 16 credits as for two regular quizzes)

Topic 3' cont. (Applied measurement, ~chapters 3-5): Finn Laurien

Topic 5 (=chapter 5): Discussion
Scaling + Indexes
Keywords, Likert (1932, reprint 2007), Slides (to be discussed; version with no comments), Another set of Slides (from a previous course)
Link to The Concept of a Measurement Mechanism
Another nice example of an index (presented by Andrea Schmidt in an earlier semester): Human Development Index (opens in new window).

Topic 4 (=chapter 4): Maximilian Weis + Ann-Kathrin Herfeld
Survey Research
Keywords, Slides

November 9
quiz on topic 4

Topic 6 (=chapter 7): Maximilian Weis
Keywords, Slides

Literature recommendation as to causality in survey/observational research (unfortunately, not easy to read):
John Antonakis, Samuel Bendahan, Philippe Jacquart, and Rafael Lalive (2010). On making causal claims: A review and recommendations. The Leadership Quarterly 21, 10861120. Link ScienceDirect WU

Videos at YouTube: Endogeneity: An inconvenient truth (a gentle introduction), by John Antonakis, Endogeneity: An inconvenient truth (full version), by John Antonakis

Topic 7 (=chapter 9): Kirstie Riedl
Experimental Design
Keywords, Slides
Topic 8 basic essentials (=chapter 10): Kirstie Riedl (combined presentation with topic 7)
Quasi-Experimental Design
Keywords, Slides see topic 7 Video at YouTube: Presentation of a regression discontinuity design

November 14
quizzes on topics 6 and 7
Quiz on topic 8 replaced by a task to be completed and handed in on November 21 or sent by email
(replaces quizzes 5 and 8; up to 16 credits as for two regular quizzes)

Topic 9 (=chapter 12): Anita Gerstbauer + Florian Smeritschnig
Analysis Part 1
Keywords, Slides (combined topics 9 and 10)

Topic 10 (=chapter 14): Anita Gerstbauer + Florian Smeritschnig (combined presentation with topic 9)
Analysis Part 2 (up to and including page 308)
Keywords, Slides see topic 9
Topic 10' (Applied analysis, ~chapters 12, 14): Eneyew Gebremenfas

November 21
Final Exams
Quizzes on topics 9 and 10
opportunity to do up to 2 upgrading quizzes and, in addition, two missed quizzes (from 1 to 8)
Task to be completed and handed in on November 21 or sent by email (replaces quizzes on topics 5 and 8)


The evaluation for this course will be administered online.
This evaluation is active online from Tuesday November 14, 2017 to Thursday November 30, 2017.
To start the evaluation, please go to