Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform. NOTE: Courses where at least one unit is on-site are currently marked "on-site" in u:find.

Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

180097 SE Theory and Empiricism II (2021S)

4.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work
REMOTE

Summary

1 Leidenfrost , Moodle
2 Bührer , Moodle
3 Bartok , Moodle
4 Burger , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).
Registration information is available for each group.

Groups

Group 1

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Status: 08 February 2021

The course will be held in digital form (a combination of live online units, personal contact via live online video conferences, asynchronous completion of tasks, as well as asynchronous contact via forums and e-mails). Should other nationwide or university-wide regulations arise in the course of the semester that make hybrid teaching possible, you will be informed by us in due time as to whether and which changes will be made.

The specific plan for the dates is given below.

• 01) Thu 11.03.21 13:15-14:45 (digital & live): presentation of the course schedule, organization of research teams and research topics for each team
• 02) Thu 18.03.21 (digital & asynchronous): independent research and reading of literature
-- HOLIDAYS (Easter): Mon 29.03.21 to Sun 11.04.21 --
• 03) Thu 25.03.21 13:15-14:45 (digital & live): discussion of research questions/ formulation of hypotheses.
• 04) Thu 15.04.21 13:15-14:45 (digital & live): possibility to attend live online consultation hours
• 05) Thu 22.04.21 (done by students): data collection
• 06) Thu 29.04.21 (done by students): data collection
• 07) Thu 06.05.21 (digital & asynchronous): information input regarding formal result presentation, poster, and research report
• 08 + 09) Thu 20.05.21 13:15-14:45 (digital & live): data analysis support (per team 50 min by arrangement)
-- HOLIDAYS (Pentecost/Pfingsten): Sat 22.05.21 to Tue 25.05.21 --
• 10 + 11) Thu 27.05.21 13:15-14:45 (digital & live): data analysis support (per team 50 min by arrangement)
• 12) Thu 10.06.21 13:15-14:45 (digital & live): possibility to attend live online consultation hours
• 13 + 14) Thu 24.06.21 13.15-16.30 (digital & live): joint final meeting (poster presentations) with UE group 4 (Burger)

In addition, there will be at least 3 sessions for the accompanying statistics tutorial, which is highly recommended but not mandatory. The actual dates will be announced at the beginning of the seminar.

Thursday 11.03. 13:15 - 14:45 Digital
Thursday 25.03. 13:15 - 14:45 Digital
Thursday 15.04. 13:15 - 14:45 Digital
Thursday 20.05. 13:15 - 14:45 Digital
Thursday 27.05. 13:15 - 14:45 Digital
Thursday 10.06. 13:15 - 14:45 Digital
Thursday 24.06. 13:15 - 14:45 Digital

Aims, contents and method of the course

Contents:
• content-based specialization in selected topics from sub-areas of psychology (application of the competences acquired in the "Vertiefungsseminar" of the Bachelor's programme)
• different research approaches, planning of research, methods of data collection and evaluation (based on the bachelor's degree course "Einführung in die Forschungsmethoden und in die Statistik" and "Theorie und Empirie I"), and conducting, analyzing, and writing of an empirical investigation.

General objectives:
• Expanding knowledge of the procedures and methods of psychological research
• Acquiring and testing skills in practice (reading and understanding of specialist literature, development of research hypotheses, conducting investigations, data analysis, and discussion of findings)

Teaching and learning methods:
• Independent work in teams
• Continuous feedback (by peers and course lecturer)
• Accompanying tutorial
• Self-study
• Discussions and working groups
• Inputs of the course lecturer / instructional discussions
• Submission of written subtasks
• Poster presentation (including discussion)
• Writing a final written paper in a team (equivalent to a research report)

Different stages of the course:
• Researching and reading of relevant literature
• Formulation of research questions/hypotheses
• Selection of measurement instruments
• Data collection
• Data analysis
• Oral Presentation of the results
• Writing of a research report

Assessment and permitted materials

• Presence and active participation (digital)
• Submission of written subtasks within the given deadlines
• Presentation of the data analysis (in the form of a scientific poster presentation)
• Written research report on the investigation carried out

Minimum requirements and assessment criteria

At least 80% attendance is required in order to successfully complete the course (digital appointments).

Assessment of student performance (4 partial grades):
• Regular participation - 10 points
• Completion of the required subtasks within the deadlines - 25 points
• Oral presentation - 25 points
• Final paper Research report (team) - 40 Punkte

60 points are required for a positive assessment of the course.
• 1 ("Sehr Gut"): 100–90 points
• 2 ("Gut"): 89–81 points
• 3 ("Befriedigend"): 80–71 points
• 4 ("Genügend"): 70–60 points
• 5 ("Nicht Genügend"): 59–0 points

Each partial grade must be positive (at least 60% of the points).
By enrolling in this course, you agree that the automated plagiarism checking software Turnitin will check all written submissions submitted on Moodle.

Examination topics

• All content covered in the course, especially the specialist and methodological content of your own research work.
• Your performance in this course is being continuously assessed, therefore there is no single final exam at the end of the semester.

Reading list

Content-based literature:
• specialized literature (original literature) that is suitable for the topic in question and has been predominantly researched by the students themselves

Methodological literature:
• Heimsch, F., Niederer, R. & Zöfel, P. (2018). Statistik im Klartext. Pearson.
• Peters, J. H. & Dörfler, T. (2014). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften. Planen, Durchführen und Auswerten. Pearson.
• Peters, J. H. & Dörfler, T. (2015). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften - Schreiben und Gestalten. Pearson.
• Sedlmeier, P. & Renkewitz, F. (2018). Forschungsmethoden und Statistik für Psychologen und Sozialwissenschaftler. Pearson. [for those interested]

Group 2

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Stand 08.02.2021:

Die Lehrveranstaltung wird in digitaler Form durchgeführt (gemischt synchrone Einheiten und Kontaktmöglichkeit via Videokonferenz und asynchrone Bearbeitung von Aufgaben sowie asynchrone Kontaktmöglichkeit via Forum/Mail). Sollten sich im Laufe des Semesters andere bundesweite oder universitätsweite Regelungen ergeben, die eine Hybrid-Lehre ermöglichen, geben wir Ihnen natürlich rechtzeitig Bescheid, ob bzw. zu welchen Änderungen es kommt.

Wie die Termine konkret geplant sind, ist im Folgenden angegeben.

Wichtig: Bitte beachten Sie, dass der Abschlusstermin (Posterpräsentation) LV-übergreifend abgehalten wird, und daher zu einer anderen Uhrzeit stattfindet. Achten Sie bei der Anmeldung bitte besonders darauf, dass Sie diesen wichtigen Abschlusstermin wahrnehmen können.

01) Mi 10.03.21 11.30-13.00 (digital & live): Vorbesprechung, Themen- und Teamfindung
02) Mi 17.03.21 (digital & asychron): selbstständige Recherche und Lektüre der Literatur
03) Mi 24.03.21 11.30-13.00 (digital & live): Besprechung der Fragestellungen/ Ableitung der Hypothesen / Messinstrumente

-- FERIEN (Ostern): Mo 29.03.21 bis So 11.04.21 --

04) Mi 14.04.21 11.30-13.00 (digital & live): Kontaktmöglichkeit via Online-Sprechstunde
05) Mi 21.04.21 (selbstständig): Datenerhebung
06) Mi 28.04.21 (selbstständig): Datenerhebung
07) Mi 05.05.21 (digital & asychron): Informationen zu Ergebnispräsentation, Poster u. Forschungsbericht
08 + 09) Individuelle Termine (digital & live): Auswertungsbegleitung (pro Team 50 min nach Vereinbarung)

-- FERIEN (Pfingsten): Sa 22.05.21 bis Di 25.05.21 --

10 + 11) Individuelle Termine (digital & live): Auswertungsbegleitung (pro Team 50 min nach Vereinbarung)
12) Mi 02.06.21 11.30-13.00 (digital & live): Kontaktmöglichkeit via Online-Sprechstunde
13 + 14) Mi 23.06.21 15.30-18.45 (digital & live): Gemeinsamer Abschlusstermin (Posterpräsentationen) mit UE-Gruppe 3 (Bartok)

Zusätzlich wird es mind. 3 Termine für das begleitende Statistik-Tutorium geben, dessen Besuch äußerst empfehlenswert aber nicht verpflichtend ist. Die konkreten Termine werden erst zu Seminarbeginn feststehen.

Wednesday 10.03. 11:30 - 13:00 Digital
Wednesday 24.03. 11:30 - 13:00 Digital
Wednesday 14.04. 11:30 - 13:00 Digital
Wednesday 02.06. 11:30 - 13:00 Digital
Wednesday 23.06. 15:30 - 18:45 Digital

Aims, contents and method of the course

Inhalte:

a) Inhaltliche Vertiefung in ausgewählten Themen aus Teilgebieten der Psychologie (Anwendung der im „Vertiefungsseminar“ des Bachelorstudiums erworbenen Kompetenzen)

b) Untersuchungsarten, Untersuchungsplanung, Methoden der Datenerhebung und -auswertung (aufbauend auf das Bachelorstudiums-Seminar „Einführung in die Forschungsmethoden und in die Statistik“ sowie aufbauend auf „Theorie und Empirie I“), und Durchführung, Auswertung sowie Verschriftlichung einer eigenen empirischen Untersuchung.

Ziele allgemein:

Kenntnisse über Ablauf und Methoden der psychologischen Forschung zu erweitern sowie Fertigkeiten praktisch zu erwerben und zu erproben (Aufarbeitung der Fachliteratur, Entwicklung von Forschungshypothesen, Durchführung von Untersuchungen, Auswertung von Daten und Diskussion von Befunden)

Lehr- und Lernmethoden:

o Selbständige Arbeit in Teams
o Laufendes Feedback (durch Peers und LV-Leitung)
o Begleitendes Tutorium
o Selbststudium
o Diskussionen und Arbeitsgruppen
o Inputs der LV-Leitung / Lehrgespräche
o Schriftliche Abgabe von Teilaufgaben
o Posterpräsentation (inkl. Diskussion)
o Verfassen einer schriftlichen Abschlussarbeit im Team (entspricht einem Forschungsbericht)

Ablauf der LV:

o Literaturrecherche & -studium
o Ableitung von Fragestellung/Hypothesen
o Auswahl von Messinstrumenten
o Datenerhebung
o Datenauswertung
o Präsentation der Ergebnisse
o Verfassen eines Forschungsberichts

Assessment and permitted materials

Anwesenheit und Mitarbeit (digital), fristgerechte Abgabe schriftlicher Teilaufgaben, Auswertungsreferat (in Form einer wissenschaftlichen Posterpräsentation), schriftlicher Forschungsbericht zur durchgeführten Untersuchung

Minimum requirements and assessment criteria

Mind. 80% Anwesenheit ist notwendig (digitale Termine).

Leistungsnachweis (4 Teilnoten):
o Regelmäßige Mitarbeit - 10 Punkte
o fristgerechtes Erbringen der geforderten Teilaufgaben - 25 Punkte
o Präsentation - 25 Punkte
o Abschlussarbeit Forschungsbericht (Team) - 40 Punkte

Für eine positive Beurteilung der Lehrveranstaltung sind 60 Punkte erforderlich.

1 (sehr gut) … 100-90 Punkte
2 (gut) … 89-81 Punkte
3 (befriedigend) … 80-71 Punkte
4 (genügend) … 70-60 Punkte
5 (nicht genügend) … 59-0 Punkte

Jede einzelne Teilnote muss für sich positiv (mind. 60% der Punkte) sein.

Mit der Anmeldung zu dieser Lehrveranstaltung stimmen Sie zu, dass die automatisierte Plagiatsprüfungs-Software Turnitin alle von Ihnen auf Moodle eingereichten schriftlichen Teilleistungen prüft.

Examination topics

Alle in der Lehrveranstaltung durchgenommenen Inhalte, insbesondere auch die fachlichen und methodischen Inhalte der eigenen Forschungsarbeit.

Reading list

Inhaltliche Literatur:
o zum jeweils bearbeiteten Thema passende, überwiegend selbst recherchierte Fachliteratur (Originalliteratur)

Methodische Literatur:
o Heimsch, F., Niederer, R. & Zöfel, P. (2018). Statistik im Klartext. Pearson.
o Peters, J. H. & Dörfler, T. (2019). Planen, Durchführen und Auswerten von Abschlussarbeiten in der Psychologie und den Sozialwissenschaften. Pearson.
o Peters, J. H. & Dörfler, T. (2019). Schreiben und Gestalten von Abschlussarbeiten in der Psychologie und den Sozialwissenschaften. Pearson.
o Sedlmeier, P. & Renkewitz, F. (2018). Forschungsmethoden und Statistik für Psychologen und Sozialwissenschaftler. Pearson. [für Interessierte]

Group 3

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Status: 08 February 2021
The course will be held in digital form (a combination of live online units, personal contact via live online video conferences, asynchronous completion of tasks, as well as asynchronous contact via forums and e-mails). Should other nationwide or university-wide regulations arise in the course of the semester that make hybrid teaching possible, you will be informed by us in due time as to whether and which changes will be made.

The specific plan for the dates is given below.

Important: please note that the final appointment (poster presentation) will be held together with another course at a different day and time than usual. Please ensure that you can also participate in this session.

ATTENTION: DATES HAVE NOT YET BEEN FIXED

01) Wed 17.03.21 15.30-17:00 (digital & live): presentation of the course schedule, organization of research teams and research topics for each team
02) Wed 24.03.21 (digital & asynchronous): independent research and reading of literature

-- HOLIDAYS (Easter): Mon 29.03.21 to Sun 11.04.21 –

03) Wed 14.04.21 15.30-17:00 (digital & live): discussion of research questions/ formulation of hypotheses.
04) Wed 21.04.21 15.30-17:00 (digital & live): possibility to attend live online consultation hours
05) Wed 28.04.21 (done by students): data collection
06) Wed 05.05.21 (done by students): data collection
07) Wed 12.05.21 (digital & asynchronous): information input regarding formal result presentation, poster, and research report
08 + 09) Wed 19.05.21 15.30-18:30 (digital & live): data analysis support (per team 50 min by arrangement)

-- HOLIDAYS (Pentecost/Pfingsten): Sat 22.05.21 to Tue 25.05.21 –

10 + 11) Wed 02.06.21 15.30-18:30 (digital & live): data analysis support (per team 50 min by arrangement)
12) Wed 16.06.21 15.30-17:00 (digital & live): possibility to attend live online consultation hours
13 + 14) Wed 23.06.21 15.30-18:30 (digital & live): joint final meeting (poster presentations) with UE group 2 (Bührer)

Wednesday 17.03. 15:30 - 17:00 Digital
Wednesday 24.03. 15:30 - 17:00 Digital
Wednesday 14.04. 15:30 - 17:00 Digital
Wednesday 21.04. 15:30 - 17:00 Digital
Wednesday 28.04. 15:30 - 17:00 Digital
Wednesday 05.05. 15:30 - 17:00 Digital
Wednesday 12.05. 15:30 - 17:00 Digital
Wednesday 19.05. 15:30 - 18:30 Digital
Wednesday 02.06. 15:30 - 18:30 Digital
Wednesday 16.06. 15:30 - 17:00 Digital
Wednesday 23.06. 15:30 - 18:45 Digital

Aims, contents and method of the course

Contents:
a) content-based specialization in selected topics from sub-areas of psychology (application of the competences acquired in the "Vertiefungsseminar" of the Bachelor's programme)
b) different research approaches, planning of research, methods of data collection and evaluation (based on the bachelor's degree course "Einführung in die Forschungsmethoden und in die Statistik" and "Theorie und Empirie I"), and conducting, analyzing, and writing of an empirical investigation.

General objectives:
a) Expanding knowledge of the procedures and methods of psychological research
b) Acquiring and testing skills in practice (reading and understanding of specialist literature, development of research hypotheses, conducting investigations, data analysis, and discussion of findings)

Teaching and learning methods:
o Independent work in teams
o Continuous feedback (by peers and course lecturer)
o Accompanying tutorial
o Self-study
o Discussions and working groups
o Inputs of the course lecturer / instructional discussions
o Submission of written subtasks
o Poster presentation (including discussion)
o Writing a final written paper in a team (equivalent to a research report)

Different stages of the course:
o Researching and reading of relevant literature
o Formulation of research questions/hypotheses
o Selection of measurement instruments
o Data collection
o Data analysis
o Oral Presentation of the results
o Writing of a research report

Assessment and permitted materials

o Presence and active participation (digital)
o Submission of written subtasks within the given deadlines
o Presentation of the data analysis (in the form of a scientific poster presentation)
o Written research report on the investigation carried out

Minimum requirements and assessment criteria

At least 80% attendance is required in order to successfully complete the course (digital appointments).

Assessment of student performance (4 partial grades):
o Regular participation - 10 points
o Completion of the required subtasks within the deadlines - 25 points
o Oral presentation - 25 points
o Final paper Research report (team) - 40 Punkte

60 points are required for a positive assessment of the course.
1 ("Sehr Gut"): 100–90 points
2 ("Gut"): 89–81 points
3 ("Befriedigend"): 80–71 points
4 ("Genügend"): 70–60 points
5 ("Nicht Genügend"): 59–0 points

Each partial grade must be positive (at least 60% of the points).
By enrolling in this course, you agree that the automated plagiarism checking software Turnitin will check all written submissions submitted on Moodle.

Examination topics

All content covered in the course, especially the specialist and methodological content of your own research work.
Your performance in this course is being continuously assessed, therefore there is no single final exam at the end of the semester.

Reading list

Content-based literature:
o specialized literature (original literature) that is suitable for the topic in question and has been predominantly researched by the students themselves

Methodological literature:
o Heimsch, F., Niederer, R. & Zöfel, P. (2018). Statistik im Klartext. Pearson.
o Peters, J. H. & Dörfler, T. (2014). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften. Planen, Durchführen und Auswerten. Pearson.
o Peters, J. H. & Dörfler, T. (2015). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften - Schreiben und Gestalten. Pearson.
o Sedlmeier, P. & Renkewitz, F. (2018). Forschungsmethoden und Statistik für Psychologen und Sozialwissenschaftler. Pearson. [for those interested]

Group 4

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Status: 10 February 2021
The course will be held in digital form (a combination of live online units, personal contact via live online video conferences, asynchronous completion of tasks, as well as asynchronous contact via forums and e-mails). Should other nationwide or university-wide regulations arise in the course of the semester that make hybrid teaching possible, you will be informed by us in due time as to whether and which changes will be made.

The specific plan for the dates is given below.

Important:
• Team-based data analysis support (for this purpose, each team will have a 50-minute appointment with the lecturer) will take place at different time slots than usual (Thu 20.5. 9:45-13:00; Thu 27.5. 16:45-20:00).
• Please note that the final session (poster presentation) will be held together with another course at a different day and time than usual (Thu 24.06.21 13:15-16:30 digital & live).
• When registering for this course, please make sure that you can attend this important final session.

• 01) Tue 09.03.21 11.30-13.00 (digital & live): presentation of the course schedule, organization of research teams and research topics for each team
• 02) Tue 16./23.03.21 (digital & asynchronous): independent research and reading of literature

-- HOLIDAYS (Easter): Mon 29.03.21 to Sun 11.04.21 --

• 03) Tue 13.04.21 11.30-13.00 (digital & live): discussion of research questions/ formulation of hypotheses.
• 04) Tue 20.04.21 11.30-13.00 (digital & live): possibility to attend live online consultation hours
• 05) Tue 27.04.21 (done by students): data collection
• 06) Tue 04.05.21 (done by students): data collection
• 07) Tue 11.05.21 (digital & asynchronous): information input regarding formal result presentation, poster, and research report
• 08 + 09) Tue 18.05.21 11.30-14.45 (digital & live): data analysis support (per team 50 min by arrangement)

-- HOLIDAYS (Pentecost/Pfingsten): Sat 22.05.21 to Tue 25.05.21 --

• 10 + 11) Tue 01.06.21 11.30-14.45 (digital & live): data analysis support (per team 50 min by arrangement)
• 12) Tue 15.06.21 11.30-13.00 (digital & live): possibility to attend live online consultation hours
• 13 + 14) Thu 24.06.21 13.15-16.30 (digital & live): joint final meeting (poster presentations) with UE group 1 (Burger/Leidenfrost); ATTENTION this is a Thursday

In addition, there will be at least 3 sessions for the accompanying statistics tutorial, which is highly recommended but not mandatory. The actual dates will be announced at the beginning of the seminar.

Tuesday 09.03. 11:30 - 13:00 Digital
Tuesday 13.04. 11:30 - 13:00 Digital
Tuesday 20.04. 11:30 - 13:00 Digital
Tuesday 18.05. 11:30 - 13:00 Digital
Tuesday 01.06. 11:30 - 13:00 Digital
Tuesday 15.06. 11:30 - 13:00 Digital
Thursday 24.06. 13:15 - 16:30 Digital

Aims, contents and method of the course

Contents:
• content-based specialization in selected topics from sub-areas of psychology (application of the competences acquired in the "Vertiefungsseminar" of the Bachelor's programme)
• different research approaches, planning of research, methods of data collection and evaluation (based on the bachelor's degree course "Einführung in die Forschungsmethoden und in die Statistik" and "Theorie und Empirie I"), and conducting, analyzing, and writing of an empirical investigation.

General objectives:
• Expanding knowledge of the procedures and methods of psychological research
• Acquiring and testing skills in practice (reading and understanding of specialist literature, development of research hypotheses, conducting investigations, data analysis, and discussion of findings)

Teaching and learning methods:
• Independent work in teams
• Continuous feedback (by peers and course lecturer)
• Accompanying tutorial
• Self-study
• Discussions and working groups
• Inputs of the course lecturer / instructional discussions
• Submission of written subtasks
• Poster presentation (including discussion)
• Writing a final written paper in a team (equivalent to a research report)

Different stages of the course:
• Researching and reading of relevant literature
• Formulation of research questions/hypotheses
• Selection of measurement instruments
• Data collection
• Data analysis
• Oral Presentation of the results
• Writing of a research report

Assessment and permitted materials

• Presence and active participation (digital)
• Submission of written subtasks within the given deadlines
• Presentation of the data analysis (in the form of a scientific poster presentation)
• Written research report on the investigation carried out

Minimum requirements and assessment criteria

At least 80% attendance is required in order to successfully complete the course (digital appointments).

Assessment of student performance (4 partial grades):
• Regular participation - 10 points
• Completion of the required subtasks within the deadlines - 25 points
• Oral presentation - 25 points
• Final paper Research report (team) - 40 Punkte

60 points are required for a positive assessment of the course.
• 1 ("Sehr Gut"): 100–90 points
• 2 ("Gut"): 89–81 points
• 3 ("Befriedigend"): 80–71 points
• 4 ("Genügend"): 70–60 points
• 5 ("Nicht Genügend"): 59–0 points

Each partial grade must be positive (at least 60% of the points).
By enrolling in this course, you agree that the automated plagiarism checking software Turnitin will check all written submissions submitted on Moodle.

Examination topics

• All content covered in the course, especially the specialist and methodological content of your own research work.
• Your performance in this course is being continuously assessed, therefore there is no single final exam at the end of the semester.

Reading list

Content-based literature:
• specialized literature (original literature) that is suitable for the topic in question and has been predominantly researched by the students themselves

Methodological literature:
• Heimsch, F., Niederer, R. & Zöfel, P. (2018). Statistik im Klartext. Pearson.
• Peters, J. H. & Dörfler, T. (2014). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften. Planen, Durchführen und Auswerten. Pearson.
• Peters, J. H. & Dörfler, T. (2015). Abschlussarbeiten in der Psychologie und den Sozialwissenschaften - Schreiben und Gestalten. Pearson.
• Sedlmeier, P. & Renkewitz, F. (2018). Forschungsmethoden und Statistik für Psychologen und Sozialwissenschaftler. Pearson. [for those interested]

Association in the course directory

Last modified: We 21.04.2021 11:26