Venue Eötvös Loránd University, Faculty of Education and Psychology, Budapest, Kazinczy street, 23-27, Room 203.
Date 17 November 2017, 12:00
Website http://www.cogstat.org/best_practices_symposium/
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.
Presentations Potential talks may include:
Register Admission is free, but because of the limited seats, please, register for the event here.
Supporter The symposium is supported by the Faculty of Education and Psychology, Eötvös loránd University.
Submit your abstract by filling out this form.
Deadline for abstract submission is 2 November 2017.
For more information contact Attila Krajcsi.
Expect to see the program after 3 November.
Kedves Kollégák,A lentebbi szimpóziumra várunk előadás absztraktokat, és persze szívesen látunk mindenkit a hallgatóság soraiban is.AttilaBEST PRACTICES IN DATA ANALYSIS AND STATISTICS SYMPOSIUM
ABOUT THE SYMPOSIUM
Venue Eötvös Loránd University, Faculty of Education and Psychology, Budapest, Kazinczy street, 23-27, Room 203.
Date 17 November 2017, 12:00
Website http://www.cogstat.
org/best_practices_symposium/ Aims While many new methods are developed these days, 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.
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
Register Because of the limited seats, please, register for the event here.
CALL FOR ABSTRACTS
Submit your abstract by filling out this form.
Deadline for abstract submission is 2 November 2017.
For more information contact Attila Krajcsi.