0364 Methoden I - BW
Univ.Doz. PD Dr. Regina Dittrich
Contact details
Weekly hours
Language of instruction
09/06/16 to 09/28/16
Registration via LPIS
Notes to the course
Day Date Time Room
Monday 10/10/16 03:00 PM - 05:00 PM D4.3.141
Monday 10/17/16 03:00 PM - 05:00 PM D4.3.141
Monday 10/24/16 03:00 PM - 05:00 PM D4.3.141
Monday 10/31/16 03:00 PM - 05:00 PM D4.3.141
Monday 11/07/16 03:00 PM - 05:00 PM D4.3.141
Monday 11/14/16 03:00 PM - 05:00 PM D4.3.141
Monday 11/28/16 03:00 PM - 05:00 PM D4.3.141
Monday 12/05/16 03:00 PM - 05:00 PM D4.3.141
Monday 12/12/16 03:00 PM - 05:00 PM D4.3.141
Monday 01/09/17 03:00 PM - 05:00 PM D4.3.141
Monday 01/16/17 03:00 PM - 05:30 PM D4.3.141

Foundations: Language of Research/ Structure of Research/ Introduction to Validity/Ethics in Research (short)/ Conceptualizing;Sampling:External Validity/ Sampling Terminology/ Statistical Terms in Sampling Probability Sampling/ Nonprobability Sampling;Measurement:Construct Validity/ Reliability/ Levels of Measurement ;Survey Research:Types of Surveys/ Selecting the Survey Method/ Constructing the SurveyTypes Of Questions/ Question Content/ Response Format/Question WordingQuestion Placement/ Interviews/ Plus & Minus of Survey Methods; Scaling + Indexes:General Issues in Scaling/ Thurstone ScalingLikert Scaling/ Guttman Scaling;Design:Internal Validity/ Establishing Cause & Effect/ Single Group ThreatsRegression to the Mean/ Multiple Group Threats/ Social Interaction ThreatsIntroduction to Design/ Types of Designs;Experimental Design:Two-Group Experimental Designs/ Probabilistic Equivalence/ Random Selection & AssignmentClassifying Experimental Designs/ Factorial Designs/ Factorial Design VariationsRandomized Block Designs/ Covariance Designs/ Hybrid Experimental Designs;Quasi-Experimental Design:The Nonequivalent Groups Design/ The Regression-Discontinuity DesignOther Quasi-Experimental Designs/ Relationships Among Pre-Post DesignsDesigning Designs for Research;Analysis:Conclusion Validity/ Threats to Conclusion Validity/Improving Conclusion ValidityStatistical Power/ Data Preparation/ Descriptive Statistics/ Correlation, Inferential Statistics / The T-Test/ Dummy Variables/ General Linear ModelPosttest-Only Analysis/ Factorial Design Analysis/ Randomized Block Analysis/ Analysis of Covariance

Learning outcomes
The course conveys 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.
Teaching/learning method(s)
Small groups (size depends on the number of particpiants but usually it's two to three members per group) will be formed. Each group will present one or more topics (usually two). Practical examples, illustrations or relevant problems should be provided and will be discussed in class. Homework readings will enable all participants to be prepared for these topics and to contribute with questions and discussions.

Grading depends on several written quizes throughout the term and the presentation(s).

For each  quiz  one can get 10 points maximum and  in total 90 points.

Additionally maximal 10 points for one  presentation can be obtained.

Prerequisites for participation and waiting lists
Attendance of the kick-off meeting is compulsary.Absence without valid excuse may lead to exclusion from the course.
Availability of lecturer(s)
Contents in each unit subject to minor changes.
Last edited: 2016-04-06