psy111 - Research methods I - Statistical Modeling (Course overview)

psy111 - Research methods I - Statistical Modeling (Course overview)

Department of Psychology 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • Limited access 6.02.111_1L - Multivariate statistics I Show lecturers
    • Prof. Dr. Andrea Hildebrandt
    • Micha Jannis Burkhardt
    • Leonardo Zaggia

    Friday: 10:00 - 12:00, weekly (from 18/10/24), Location: A06 0-001
    Dates on Friday, 07.02.2025 09:00 - 10:00, Location: A07 0-030 (Hörsaal G)
    The class in only open for Neurocognitive Psychology, Neuroscience and PhD students, NOT for Biology students.
Seminar
Tutorial
(
statistics
)
  • Unlimited access 6.02.001 - Introductory Course Statistics Show lecturers
    • Dr. Cassie Ann Short

    Dates on Monday, 30.09.2024 - Wednesday, 02.10.2024 12:15 - 17:45
    Link to the course: https://meeting.uol.de/rooms/drc-nhv-xif-fzb/join This course is designed for students who are completely new to the world of statistics and for those who have the feeling that many statistical concepts they learned about earlier are not present to them anymore. Relying on theoretical input and applied exercises, this interactive lecture covers all those topics that need to belong to students’ procedural knowledge in order to be able to follow the topics covered by the Psychological methods module. Course contents • Empirical research, variables and scales • Statistical parameter • Graphical data visualization • Probability theory • Probability distributions • Statistical sampling • Hypothesis testing • Testing hypothesis on differences • Correlation • Simple linear regression
  • Unlimited access 6.02.001_T - Introductory Course Statistics Tutorial Show lecturers
    • Prof. Dr. Andrea Hildebrandt
    • Dilan Barışan

    Thursday: 08:00 - 10:00, weekly (from 17/10/24)
  • Limited access 6.02.111_1T - Multivariate statistics I (Tutorial) Show lecturers
    • Prof. Dr. Andrea Hildebrandt
    • Tim Dreßler

    Thursday: 14:00 - 16:00, weekly (from 17/10/24), Location: A10 1-121 (Hörsaal F), A06 0-001
    Additonal voluntary tutorial for the multivariate statistics lecture. If you are from another study program, please contact the teacher.
Notes on the module
Prerequisites

Enrolment in Master's programme Neurocognitive Psychology.
Prüfungszeiten

end of winter term
Module examination

The module will be tested with a written exam.

Required active participation for gaining credits:
attendance of at least 70% in the seminar within one semester (will be checked in StudIP)
Skills to be acquired in this module

Goals of module:
After completion of this module, students will have basic knowledge in managing and understanding quantitative data and conducting a wide variety of multivariate statistical analyses. They can apply the statistical methodology in terms of good scientific practice and interpret, evaluate and synthesize empirical results in basic and applied research contexts. Students will be aware of statistical misconceptions and they can overcome them.

Competencies:
++ interdisciplinary kowledge & thinking
++ statistics & scientific programming
++ data presentation & discussion
+ independent research
+ scientific literature
++ ethics / good scientific practice / professional behavior
++ critical & analytical thinking
++ scientific communication skills
+ group work