160182 PS Practical course in applied psychometric methods for linguists (2021W)
Continuous assessment of course work
Labels
ON-SITE
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).
- Registration is open from We 01.09.2021 09:00 to We 29.09.2021 23:59
- Deregistration possible until Su 31.10.2021 23:59
Details
max. 40 participants
Language: German, English
Lecturers
Classes (iCal) - next class is marked with N
PLEASE NOTE: THE CLASS WILL TAKE PLACE ONLINE BETWEEN 2.12.2021 AND 31.12.2021.
- Thursday 07.10. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 14.10. 16:15 - 19:30 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 21.10. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 04.11. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 11.11. 16:15 - 19:30 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 18.11. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 02.12. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 09.12. 16:15 - 19:30 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 16.12. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 13.01. 16:15 - 19:30 Seminarraum 3 Sensengasse 3a 1.OG
- Thursday 20.01. 16:15 - 17:45 Seminarraum 3 Sensengasse 3a 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
1. Participation in class: Students are encouraged to participate in class, to voice their ideas, concerns, and questions, and to participate in discussions.
2. Presentation: Students will work together in groups on small-scale experimental studies. This study shall then be presented in class in a 20 to 25 min presentation (research question, hypotheses, design, analysis, interpretation). The presentation follows a 10 to 15 min discussion, where the other students are asked to contribute with constructive feedback or critical follow-up questions.
3. Seminar paper: The seminar paper is based on the study that was conducted and should take the form of a journal article (introduction, research question, methods, results, discussion). Here, students can practice writing scientific papers. The length of the report should be between 2000 and 3000 words. English reports are very welcome.
2. Presentation: Students will work together in groups on small-scale experimental studies. This study shall then be presented in class in a 20 to 25 min presentation (research question, hypotheses, design, analysis, interpretation). The presentation follows a 10 to 15 min discussion, where the other students are asked to contribute with constructive feedback or critical follow-up questions.
3. Seminar paper: The seminar paper is based on the study that was conducted and should take the form of a journal article (introduction, research question, methods, results, discussion). Here, students can practice writing scientific papers. The length of the report should be between 2000 and 3000 words. English reports are very welcome.
Minimum requirements and assessment criteria
- Presence in class is required for this interactive and practical course to work, and is therefore expected of all students. One absence without permission is tolerated.
- It is required that students are present for their group presentation.
- Seminar paper: The lecturer may ask students to participate in a mandatory interview after the submission of the seminar paper to ensure good scientific practice.The overall grade consists of three parts: Active engagement in class discussions, group work (25%), group presentation (25%), and seminar paper (50%).
- It is required that students are present for their group presentation.
- Seminar paper: The lecturer may ask students to participate in a mandatory interview after the submission of the seminar paper to ensure good scientific practice.The overall grade consists of three parts: Active engagement in class discussions, group work (25%), group presentation (25%), and seminar paper (50%).
Examination topics
The relevant literature will be a part of the course structure and is provided on the Moodle page of the course. The literature is supposed to help the students in designing, conducting, and evaluating their experimental studies. There will be no assessments regarding the content of the literature in class.
Reading list
Among others, chapters of the following books will be provided. Other reading materials will be uploaded to the Moodle course during the course or have to be researched by the students themselves.
- Kabacoff, R. (2015). R in action: Data analysis and graphics with R (Second edition). Manning.
- Bortz, J., & Schuster, C. (2010). Statistik für Human- und Sozialwissenschaftler. Springer.
- Dietrich, R., & Gerwien, J. (2017). Psycholinguistik: Eine Einführung. J. B. Metzler Verlag.
- Huber, O. (2019). Das psychologische Experiment - Eine Einführung. Hogrefe. https://doi.org/10.1024/86010-000
- Kabacoff, R. (2015). R in action: Data analysis and graphics with R (Second edition). Manning.
- Bortz, J., & Schuster, C. (2010). Statistik für Human- und Sozialwissenschaftler. Springer.
- Dietrich, R., & Gerwien, J. (2017). Psycholinguistik: Eine Einführung. J. B. Metzler Verlag.
- Huber, O. (2019). Das psychologische Experiment - Eine Einführung. Hogrefe. https://doi.org/10.1024/86010-000
Association in the course directory
MA1-APM4A
Last modified: Su 28.11.2021 13:08
- How do I arrive at a sensible research question?
- How do I formulate scientific hypotheses?
- How do I plan experiment and data collection?
- How do I analyze my data? And how can I report the results?Then, students will design their experimental studies in small groups and collect the data. For this purpose, we will most likely make use of the online platform Soscisurvey,'>https://sosci.univie.ac.at/">Soscisurvey, where you can already begin by creating an account Regarding the classes on data analysis, the students will learn which statistical models can be used and what steps are necessary when conducting the analysis. For data analysis, we will use the OpenSource software R. As students will also report the results in a scientific paper-style report, the topic of how to report ones research will also be discussed in class.To be able to fully participate in this course, a notebook or laptop with the latest version of R'>https://www.r-project.org">R and RStudio'>https://www.rstudio.com/products/rstudio/download/#download">RStudio is strongly recommended, as there will also be classes during which we will need the computer. Students will be notified ahead of classes for which a computer is required.Methods:
Apart from a lecture-style theoretical input, students are encouraged to learn by doing. During group work tasks students will also learn how to tackle complex tasks together.The course will be primarily conducted in German, although there are course materials in both German and English. Should it be required, then the course can also be conducted entirely in English.This class is supported by DataCamp for classrooms, which we will use to learn and practice R.PLEASE NOTE: The course content and structure may be changed by the lecturer if necessary. In this case you will be informed via email. It is then up to you to notice these changes.