Veranstaltungskalender
Statistical Research Methods [E-LEARNING]
Statistical Research Methods provides comprehensive, cross-disciplinary support for junior researchers who require a foundation or refresher in statistical methods. With a pre-programme diagnostic tool, signposted material and a modular format, the course supports researchers who want to evaluate and interpret statistics. It addresses the current statistics context, taking the interdisciplinary research environment into consideration.
The course includes the following modules:
- Utilise statistics to enable and enhance your research
- Storytelling with data visualisation and exploratory analysis with descriptive statistics
- Probability distributions as approximating models of reality
- Sampling, estimation and generalisation of results
- Evidence-based statistical inference
- False positives? False negatives? The need for replicability of results
- Categorical predictors with analysis of variance (ANOVA)
- Explaining the world of variation through linear modelling
Duration of this course: 4-5 h
The indicated course duration refers to the pure review of the learning content. Please plan additional time for working on exercises and transfer tasks.
This e-learning course is being offered in a self-learning format. You therefore have the option to begin at any time convenient to you and work through it at your own pace.
Please note
You can access the course on the KOaLA-online training platform of KIT.
+++ Please make sure to use Firefox when accessing the e-learning courses on KOaLA. Otherwise the courses and your learning progress might not be displayed correctly. +++
1. Please follow the subsequent link to the platform website: https://koala.kit.edu
2. Please register on the platform with your KIT-account details (‘Mit KIT-Account anmelden’)
3. Please select the tile ‘Repository’ (‘Magazin’) and scroll to the ‘Marketplace’ (‘Marktplatz’) where you will find all available tiles of KHYS e-learning courses. Please select the tile of the course and click ‘Join’ (‘Beitreten’).
This course is open to all KIT-members at any time.
KHYS covers the costs that incur for holding this event.
KHYS Weiterbildung
Karlsruhe House of Young Scientists (KHYS)
Karlsruher Institut für Technologie (KIT)
Straße am Forum 3
76131 Karlsruhe
Tel: +49 721 608-47042
E-Mail: weiterbildung ∂does-not-exist.khys kit edu
https://www.khys.kit.edu
