Experimental Data Analysis - AAA500172
|
|
Schedule Noticeboard
|
||
|
The course aims at familiarising students with the basics of experimental data analysis. The first half of the course consists in seminar-like classes in which students are presented with the main statistical tests and the basic principles of statistical analysis. In the second part, students will be given data from real psycholinguistic experiments and will be trained on how to analyse them.
Week 1: Introduction Week 2: Experimental research - numerical, categorical and ordinal variables; basic statistical principles of experimental design Week 3: Running statistical tests - The logic of p-values and how to read them Week 4: Regression - understanding if variables are related using correlations and regression, understanding the difference between causation and correlation Week 5: Comparing means - repeated measure t-test, independent samples t-test, ANOVA Week 6: Midterm test Week 7: Linear mixed models - introducing random effects Week 8: Linear mixed models - familiarising with r Week 9: Data analysis in r Weeks 10 - 12: Practice with real data Week 13: Submission of the final report Last update: Cilibrasi Luca, doc., Ph.D. (04.02.2020)
|
|
||
|
Students are required to obtain 70 points out of a 100 to pass the course. Points are divided as follows: 40 points for the midtem 40 points for the data report to be submitted at the end of the course 20 points for participation Last update: Cilibrasi Luca, doc., Ph.D. (04.02.2020)
|