Difference between revisions of "Experimental design and data analysis"

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(2. Planning your project)
(see also)
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== 4. Psychological pitfalls ==
== 4. Psychological pitfalls ==
== Organizer & host institution ==
== See also ==
* OpenWetWare [[Courses]]
* [https://ovidius.uni-tuebingen.de/ilias3/goto.php?target=crs_765899&client_id=pr02 2014 ILIAS course page] (requires login)
* [https://ovidius.uni-tuebingen.de/ilias3/goto.php?target=crs_567697&client_id=pr02 2013 ILIAS course page] (requires login)

Revision as of 02:55, 3 April 2014

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This page lists resources discussed in the Design and Analysis seminar and includes links to relevant further reading. Please feel free to add your own suggestions and comments to the sections. The course is run approximately yearly and takes places in the Institute of Biochemistry of the University of Tübingen. See the Institute's course page for dates and contact information.

Aim of the course

Experimental design and data analysis is a new graduate seminar piloted in 2013 to address the questions of how to plan an experiment and how to best analyze the resulting data. We look at how to do a proper background check, where to find the best protocols, how to formulate a useful hypothesis, methods to keep experiments on schedule, tools of data analysis, and finally we will talk about some psychological pitfalls frequently seen in the interpretation of results.

1. Selecting a project

2. Planning your project

3. Data analysis

4. Psychological pitfalls

See also