191.120 (19W) Using statistics and advanced methods in health research

Wintersemester 2019/20

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Erster Termin der LV
07.10.2019 09:00 - 13:00 N.2.38 On Campus
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Überblick

Lehrende/r
LV-Titel englisch Using statistics and advanced methods in health research
LV-Art Seminar (prüfungsimmanente LV )
Semesterstunde/n 2.0
ECTS-Anrechnungspunkte 4.0
Anmeldungen 5 (10 max.)
Organisationseinheit
Unterrichtssprache Englisch
mögliche Sprache/n der Leistungserbringung Englisch
LV-Beginn 07.10.2019
eLearning zum Moodle-Kurs

Zeit und Ort

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LV-Beschreibung

Intendierte Lernergebnisse

Being able to demonstrate important practices for multivariate statistics in health research, independently structure and conduct an analytic plan for a given dataset, report the findings from data analysis, critically review data analysis reports completed by others.

Lehrmethodik inkl. Einsatz von eLearning-Tools

Discussion,exercise, computer operations, report writing and reviewing

Inhalt/e

The content of this course includes three parts.

(1) As a way of reviewing previous knowledge, this course will first cover several fundamental quantitative issues including data types, data summaries and presentations, statistical test selection, multiple tests, and other pitfalls often seen in statistical applications in practice. 

(2) To provide an overview of some advanced statistical methods used in health research, structural equation modeling (SEM)and linear mixed modeling (LMM) will be introduced. Some emerging technique sconsidering heterogeneity in a sample will also be discussed. 

(3) As a course developed for early-stage researchers, presentations/assignments based on students’ own Research interests and statistical analyses are also an important part of this Course.

Erwartete Vorkenntnisse

Understanding about multivariate statistics (e.g., analysis of variance, regression). Experience with using statistical software such as Microsoft Excel and IBM SPSS. General experience in academic English writing.

Literatur

A number of statistical and methodological references will be provided during the course. The following references are recommended generally as they cover a wide range of statistics using different packages (e.g., IBM SPSS, SYSTAT, and SAS):

  • Tabachnick,B. G., & Fidell, L. S. (2013). Using multivariate statistics (6thed.). Boston, MA: Pearson Education.
  • Pituch, K.A., & Stevens, J. P. (2016). Applied multivariate statistics for thesocial sciences (6th ed.). New York, NY: Routledge

For students who are interested with latent analyses, the Mplus user’s guide is suggested:

  • Muthén, L.K., & Muthén, B. O. (1998-2017). Mplus user's guide (8th ed.). Los Angeles,CA: Muthén & Muthén.


Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Prüfungsmethode/n

  • Regular Attendance (at least 75%)
  • Multiple assignments/reports
  •  Peer review

Prüfungsinhalt/e

Replication of statistical practices taught in class; report writing on a specific quantitative psychological research dataset

Beurteilungskriterien/-maßstäbe

  • Active participation in the seminar
  • Good quality of assignment/report
  • Critical review for others’ report of results
  •  Attendance during at least 75% of the course sessions

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Doktoratsprogramm Health, Science and Social Responsibility, Communication and Management (HSSCM) (SKZ: ---, Version: 17W.1)
    • Fach: Health, Science and Social Responsibility, Communication and Management (HSSCM) (Pflichtfach)
      • Health, Science and Social Responsibility, Communication and Management (HSSCM) ( 0.0h XX / 0.0 ECTS)
        • 191.120 Using statistics and advanced methods in health research (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Philosophie (SKZ: 500, Version: 18W.1)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 0.0h XX / 32.0 ECTS)
        • 191.120 Using statistics and advanced methods in health research (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Philosophie (SKZ: 500, Version: 12W.4)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 16.0h XX / 32.0 ECTS)
        • 191.120 Using statistics and advanced methods in health research (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Philosophie (SKZ: 792, Version: 12W.4)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 16.0h XX / 32.0 ECTS)
        • 191.120 Using statistics and advanced methods in health research (2.0h SE / 4.0 ECTS)

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