Second Best Practices in Data Analysis and Statistics Symposium
(It is the second symposium, not the second best solution.)
About the symposium
Venue Eötvös Loránd University, Faculty of Education and Psychology, Budapest, Kazinczy street, 23-27, Room 4 on ground floor (or check the room for the tutorials in the program).
Date January 9, 2019
Website https://www.cogstat.org/best_practices_symposium/2019/
Aims While many new methods are developed these days that are applicable in behavioral sciences, many valuable older methods are not used, because they are not accessible, because researchers do not know how to use them, or because researchers do not even know about them. The aim of the Best practices symposium is to popularize either new or old solutions, to familiarize researchers with these methods, and to make these methods more accessible. In addition, the symposium is a great opportunity to discuss and evaluate various methods to improve research practice.
Program, abstracts and slides
Talks Find the program, the slides and the abstracts here.
Register You can register as participants after December 2, 2018. Admission is free, but because of the limited seats, please, register for the event After the limited places are filled, we will not be able to accept further registrations.
More information
Registration fee There is no registration fee for the workshop.
Contact For more information contact Attila Krajcsi.
Previous symposium See the last year’s program here.
Other events If you are coming to Budapest, you may consider attending the Budapest CEU Conference on Cognitive Development (January 3-5, 2019) or the Methods in Numerical Cognition Workshop (January 7, 2019), too.
Supporter The symposium is supported by the Faculty of Education and Psychology, Eötvös Loránd University. We thank Fanni Tolmár for her help in organizing the event.
Web hosting The symposium web site is hosted by CogStat.
Call for abstracts
Submission is closed.
Presentations Potential talks may include:
- Presentation of new methods, preferably also offering computational tools
- Presentation of older methods, that are hardly known among researchers
- Demonstration of software solutions that could make the analysis more efficient
- Presentation of tutorials that introduce either new or older methods
Small group hands-on tutorials This year, we introduce small group hands-on tutorials. Potential tutorials may be:
- 60-120 minutes long
- They may require participants to have their own computer with appropriate software installed on it
- Participants will register separately for the tutorial sessions
Submission Submit your abstract by filling out this form.
Deadline The deadline for abstract submission is December 2, 2018.