200083 SE Bachelorarbeit (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 28.08.2023 09:00 bis Mo 25.09.2023 09:00
- Abmeldung bis Di 03.10.2023 09:00
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
In-person sessions will be displayed on Moodle.
Mittwoch
04.10.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
11.10.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
18.10.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
25.10.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
08.11.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
15.11.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
22.11.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
29.11.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
06.12.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
13.12.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
10.01.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
17.01.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
24.01.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Mittwoch
31.01.
15:00 - 16:30
Hörsaal C Psychologie, NIG 6.Stock A0618
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
The overall grade of the seminar is the sum of the below partial performances:
• Attendance and participation (10%)
• Presentation (10%)
• Preliminary version of the bachelor thesis (10%)
• Peer feedback (10%)
• Bachelor thesis (60%)
• Attendance and participation (10%)
• Presentation (10%)
• Preliminary version of the bachelor thesis (10%)
• Peer feedback (10%)
• Bachelor thesis (60%)
Mindestanforderungen und Beurteilungsmaßstab
The prerequisite for a positive graduation is the positively evaluated (at least 60%) submission of the bachelor thesis by the deadline.
1 (very good): 90-100%
2 (good): 80-89 %
3 (satisfactory): 70-79 %
4 (sufficient): 60-69 %
5 (insufficient = negative performance): 0-59 %Criteria:
- Comprehensive evaluation of the literature
- Scientific, critical reading skills
- Formulation of an individual research question
- Outlining a scientific paper
- Planning the writing process
- Providing, receiving & implementing feedback from lecturer and peers
- Submitting a scientific report/paper (registered report format)
1 (very good): 90-100%
2 (good): 80-89 %
3 (satisfactory): 70-79 %
4 (sufficient): 60-69 %
5 (insufficient = negative performance): 0-59 %Criteria:
- Comprehensive evaluation of the literature
- Scientific, critical reading skills
- Formulation of an individual research question
- Outlining a scientific paper
- Planning the writing process
- Providing, receiving & implementing feedback from lecturer and peers
- Submitting a scientific report/paper (registered report format)
Prüfungsstoff
Exam: N/APartial performances presentation, preliminary version of thesis, peer feedback, thesis:
- To be submitted by the deadline
- Complying with criteria regarding format and contentPartial performances attendance and participation:
- Max. two sessions can be missed
- Active participation in discussions, group work and peer feedback
- To be submitted by the deadline
- Complying with criteria regarding format and contentPartial performances attendance and participation:
- Max. two sessions can be missed
- Active participation in discussions, group work and peer feedback
Literatur
Chambers, C. D. (2023, May 18). Template – Preregistration. Retrieved from https://osf.io/93znhHaeffel, G. J. (2022) Psychology needs to get tired of winning. Royal Society Open Science, 9, Article 220099. https://doi.org/10.1098/rsos.220099Kiyonaga, A., & Scimeca, J. M. (2019). Practical considerations for navigating registered reports. Trends in Neurosciences, 42(9), 568–572. https://doi.org/10.1016/j.tins.2019.07.003Lehrer, J. (2010, December 5). The truth wears off. Is there something wrong with the scientific method? The New Yorker. https://www.newyorker.com/magazine/2010/12/13/the-truth-wears-offPritchard, V. E., Malone, S. A., Burgoyne, K., Heron-Delaney, M., Bishop, D. V. M., & Hulme, C. (2019). Stage 1 Registered Report: The relationship between handedness and language ability in children. Wellcome Open Research, 4(30), https://doi.org/10.12688%2Fwellcomeopenres.15077.1Optional:
Amrhein, V., Greenland, S., & McShane, B. (2019, March 21). Retire statistical significance. Nature. https://www.nature.com/articles/d41586-019-00857-9Chambers, C. D., Feredoes, E., Muthukumaraswamy, S. D., Etchells, P. J. (2014). Instead of “playing the game” it is time to change the rules: Registered Reports at AIMS Neuroscience and beyond. AIMS Neuroscience, 1(1), 4–17. https://doi.org/10.3934/Neuroscience.2014.1.4de Cheveigné, A. (2022). Preregistration: the good, the bad, and the confusing. PsyArXiv. https//doi.org/10.31234/osf.io/bcd9tField, A. (2017). Discovering Statistics Using IBM SPSS Statistics. SAGE.Goldin-Meadow, S. (2016, August 31). Why Preregistration Makes Me Nervous. APS Observer, 29(7). https://www.psychologicalscience.org/observer/why-preregistration-makes-me-nervous/comment-page-1Goldin-Meadow, S. (2016, September 9). Preregistration, Replication, and Nonexperimental Studies. APS Observer, 29(8). https://www.psychologicalscience.org/observer/preregistration-replication-and-nonexperimental-studiesNosek, B. A., & Lakens, D. (2014). Registered reports: A method to increase the credibility of published results [Editorial]. Social Psychology, 45(3), 137–141. https://doi.org/10.1027/1864-9335/a000192Poldrack, R. A. (2019). Statistical Thinking for the 21st Century. https://statsthinking21.github.io/statsthinking21-core-site/Sani, F., & Todman, J. (2008). Experimental Design and Statistics for Psychology: A First Course. John Wiley & Sons.Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing Transparency Through a Multiverse Analysis. Perspectives on Psychological Science, 11(5), 702–712. https://doi.org/10.1177/1745691616658637Van ’t Veer, A., & Giner-Sorolla, R. (2016). Pre-registration in social psychology—A discussion and suggested template. Journal of Experimental Social Psychology, 67, 2–12. https://doi.org/10.1016/j.jesp.2016.03.004Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a World Beyond “p < 0.05.” The American Statistician, 73(sup1), 1–19. https://doi.org/10.1080/00031305.2019.1583913Yamada, Y. (2018). How to Crack Pre-registration: Toward Transparent and Open Science. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.01831Further readings may be uploaded to Moodle.
Amrhein, V., Greenland, S., & McShane, B. (2019, March 21). Retire statistical significance. Nature. https://www.nature.com/articles/d41586-019-00857-9Chambers, C. D., Feredoes, E., Muthukumaraswamy, S. D., Etchells, P. J. (2014). Instead of “playing the game” it is time to change the rules: Registered Reports at AIMS Neuroscience and beyond. AIMS Neuroscience, 1(1), 4–17. https://doi.org/10.3934/Neuroscience.2014.1.4de Cheveigné, A. (2022). Preregistration: the good, the bad, and the confusing. PsyArXiv. https//doi.org/10.31234/osf.io/bcd9tField, A. (2017). Discovering Statistics Using IBM SPSS Statistics. SAGE.Goldin-Meadow, S. (2016, August 31). Why Preregistration Makes Me Nervous. APS Observer, 29(7). https://www.psychologicalscience.org/observer/why-preregistration-makes-me-nervous/comment-page-1Goldin-Meadow, S. (2016, September 9). Preregistration, Replication, and Nonexperimental Studies. APS Observer, 29(8). https://www.psychologicalscience.org/observer/preregistration-replication-and-nonexperimental-studiesNosek, B. A., & Lakens, D. (2014). Registered reports: A method to increase the credibility of published results [Editorial]. Social Psychology, 45(3), 137–141. https://doi.org/10.1027/1864-9335/a000192Poldrack, R. A. (2019). Statistical Thinking for the 21st Century. https://statsthinking21.github.io/statsthinking21-core-site/Sani, F., & Todman, J. (2008). Experimental Design and Statistics for Psychology: A First Course. John Wiley & Sons.Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing Transparency Through a Multiverse Analysis. Perspectives on Psychological Science, 11(5), 702–712. https://doi.org/10.1177/1745691616658637Van ’t Veer, A., & Giner-Sorolla, R. (2016). Pre-registration in social psychology—A discussion and suggested template. Journal of Experimental Social Psychology, 67, 2–12. https://doi.org/10.1016/j.jesp.2016.03.004Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a World Beyond “p < 0.05.” The American Statistician, 73(sup1), 1–19. https://doi.org/10.1080/00031305.2019.1583913Yamada, Y. (2018). How to Crack Pre-registration: Toward Transparent and Open Science. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.01831Further readings may be uploaded to Moodle.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 29.11.2023 09:27
All sessions will be in person, max. two sessions can be missed.
Aims:
Upon completion of the seminar, students will be able to summarise independently the current state of research in a certain domain of interest within the field of developmental or social psychology in writing (in a format of a registered report that accounts for a bachelor thesis). The aims are to develop a simple research question, translate it into appropriate research operationalisation, plan a suitable scientific investigation, apply the standard methods of psychological research, present a data analysis plan, and discuss the potential outcomes of the investigation while considering future perspectives and limitations. In connection with this, students will acquire skills in presenting their own ideas, planning and organizing scientific work, time management, and providing and responding to feedback.
Contents:
The topics of the previous semester's Scientific Readings seminar will be further developed.
Methods:
The course takes place in person (max. two sessions can be missed). Units will be based on a close exchange among students and the lecturer and involve the discussion of open questions about the bachelor thesis. The earlier units will focus on formulating hypotheses and study design. The later units will deal with methodology, data analysis planning, and evaluation and interpretation of the study outcomes. Note that conducting a study with data collection is not included in this course as the thesis has a registered report format (introduction, methods, proposed analyses, interpretation).
The thesis specifies the research question(s) and provides a literature review (Part 1: already prepared at the Scientific Readings seminar). Further, it outlines the hypotheses, analysis plan, and provides an interpretation (and discussion) of hypothetical results (Part 2: prepared over the course of this seminar). The deadline for the submission of the bachelor thesis (4000 to 6000 words) is 31.01.2024.
Each student (in group) will hold a short presentation and exchange with other students and the lecturer about the thesis. During the semester, there will be meetings on individual topics related to study design, data analysis, and interpretation of hypothetical results. Towards the end of the semester, students will receive feedback from the lecturer and provide peer feedback on one preliminary bachelor thesis paper of another student. In addition, students are encouraged to contribute to the course through active collaboration and taking part in interactive discussions.