neu725 - Multivariate Statistics and Applications in R (Vollständige Modulbeschreibung)
Modulbezeichnung | Multivariate Statistics and Applications in R |
Modulkürzel | neu725 |
Kreditpunkte | 6.0 KP |
Workload | 180 h
( 2 SWS Lecture: 30h contact / 60h self-studies and exam preparation )
2 SWS Seminar: (30h contact / 60h statistical data analysis in R |
Einrichtungsverzeichnis | Department für Neurowissenschaften |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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Teilnahmevoraussetzungen | recommended in semester 1/3 weeks 11-13 of summer semester |
Kompetenzziele | Students will acquire basic knowledge in planning empirical investigations, managing and understanding quantitative data and conducting a wide variety of multivariate statistical analyses. They will learn how to use the statistical methodology in terms of good scientific practice and how to interpret, evaluate and synthesize empirical results from the perspective of statistical modeling in basic and applied research context. The courses in this module will additionally point out statistical misconceptions and help students to overcome them. + Independent research + Scient. Literature + Social skills ++ Interdiscipl. knowledge ++ Maths/Stats/Progr. ++ Data preset./disc. + Scient. English ++ Ethics |
Modulinhalte | Part 1: Multivariate Statistics I (lecture): Graphical representation of multivariate data The Generalized Linear Modeling (GLM) framework Multiple and moderated linear regression with quantitative and qualitative predictors Logistic regression Multilevel regression (Generalized Linear Mixed Effects Modeling – GLMM) Non-linear regression models Path modeling Factor analysis (exploratory & confirmatory) (Multilevel) Structural equation modeling (SEM linear and non-linear) Part 2: Analysis Methods with R (seminar) Data examples and applications of GLM, GLMM, polynomial, spline and local regression, path modeling, factor analyses and SEM |
Literaturempfehlungen | Course material will be available in Stud.IP |
Links | |
Unterrichtssprache | Englisch |
Dauer in Semestern | 1 Semester |
Angebotsrhythmus Modul | winter term, annually |
Aufnahmekapazität Modul | unbegrenzt () |
Modulart | Wahlpflicht / Elective |
Modullevel | MM (Mastermodul / Master module) |
Lehrveranstaltungsform | Kommentar | SWS | Angebotsrhythmus | Workload Präsenz |
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Vorlesung | 2 | SoSe oder WiSe | 28 | |
Übung | 2 | SoSe oder WiSe | 28 | |
Präsenzzeit Modul insgesamt | 56 h |
Prüfung | Prüfungszeiten | Prüfungsform |
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Gesamtmodul | End of winter semester |
written exam attendance of at least 70% in the seminars (in addition, mandatory but ungraded) |