Universität Wien

160101 VO Introduction to experiment design and quantitative analysis for linguists (2009S)

6.00 ECTS (2.00 SWS), SPL 16 - Musik-, Sprach- und Vergleichende Literaturwisse

Erster Termin: DI, 10.03.2009, 09:00-10:30 Uhr, Seminarraum 1
Nächste Termine: MI, 11.03.2009, 14:30-16:00 Uhr, Hörsaal des Instituts,
DO, 12.03.2009, 09:00-11:00 Uhr, Seminarraum 1
Weitere Termine werden in der Vorlesung bzw. auf der homepage des Instituts bekannt gegeben.
Unterrichtssprache: Englisch/Deutsch

Anmeldung erbeten an margareta.loeffler@univie.ac.at mit Angabe des Titels der Vorlesung.

Required background: Interest in conducting original experimental research and in data analysis. No background in statistics is assumed.

Details

Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 09.06. 09:00 - 11:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Wednesday 10.06. 17:00 - 19:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Thursday 18.06. 18:00 - 20:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Tuesday 23.06. 09:00 - 11:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Wednesday 24.06. 17:00 - 19:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Thursday 25.06. 18:00 - 20:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)
  • Tuesday 30.06. 09:00 - 11:00 (ehem. Seminarraum 1 Berggasse 11 3.OG)

Information

Aims, contents and method of the course

This course will cover basic elements of data collection, organization, analysis, and presentation. It is designed for students who do not have any background in statistics but wish to develop the skills to collect and analyze their own data in empirical and experimental investigations.
Topics will include:
What is research?
Thinking about research validity.
Thinking about research reliability.
Designing win/win studies.
Handling different types of data.
Measures of central tendency.
Measures of dispersion.
Summarizing data & Statistical significance
Correlation
Between participant and within participant designs
t-tests
Analysis of Variance
Regression
Other techniques for data exploration and analysis using R.

Assessment and permitted materials

Minimum requirements and assessment criteria

The goal of the course is to provide students with a solid grounding in data organization and presentation using programs such as exel. We will discuss research designs and their relationship to particular analyses. Students will gain facility in statistical techniques including t-tests, correlation, ANOVA, and an introduction to the concepts behind regression analyses. A key goal of the course is to provide students not only with analytic skills but also a firm understanding of the key concepts in statistical analysis.

Examination topics

Reading list

Association in the course directory

Code alter Studienplan: 312

Last modified: Mo 07.09.2020 15:35