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HU Credits:
5
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Cognitive Science
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Tal Nahari
Coordinator Office Hours:
Upon request
Teaching Staff:
Ms. Tal Nahari
Ms.
Mr.
Course/Module description:
basic probability theory
probability functions and distributions
statistics and parameter estimation
Null hypothesis significance testing (t tests, ANOVA's)
simple regression
non-parametric testing
Bayesian inference
Data analysis in R
critical thinking of research methods
Course/Module aims:
Acquiring tools for statistical analysis and basic notions in research methods.
Acquiring skills for critical assessment of empirical papers.
Learning outcomes - On successful completion of this module, students should be able to:
- plan a research design.
- Correctly use of basic statistical tests.
- Identify and avoid common mistakes, both in the statistical and methodological level.
- Critically assess scientific papers.
- Communication of research
- data visualization
Attendance requirements(%):
Teaching arrangement and method of instruction:
Frontal lectures, exercises and practical software demonstrations.
Course/Module Content:
prbability theory
Z and t tests
ANOVAs (one- and two- way, repeated measures ANOVA)
Contrasts
regression
Effect size
Experimental designs
Correlation and causality
Reliability and validity
The "replication crisis" in the social sciences (and what can we learn from it)
Bayesian inference
Common fallacies in research.
Required Reading:
Few papers on research methods, TBA.
Additional Reading Material:
Introduction to statistics for Social Sciences students A / Open University, Units 1-8
Statistical inference / Open University, Units 11-13, 15-16.
Research methods in Social Sciences, the tenants of research and its foundations / Open University, Units 1-3, 5-7
Research methods in Social Sciences, regression and analysis of variance / Open University, Units 11-12
Statistics - Hayes
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 15 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 25 %
Reports 0 %
Research project 60 %
Quizzes 0 %
Other 0 %
Additional information:
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