[vc_row dfd_row_config=”default_row_small_paddings” dfd_overlay_color=”#ffffff”][vc_column][vc_column_text]Overview
Statistics are increasingly important in the study of archaeology for understanding published work, as well as producing high standard analytical research that moves away from the Culture-History paradigm, yet statistical teaching in archaeology is often absent or limited.
Program:
| COURSE 1: An Introduction to Statistics and Uni-variate Analysis | ||
| DAY 1 | Basic Statistics | 3 hours (Classroom) |
| Alex Wilshaw |
Ø Probability Ø Distribution (normality, skewness etc..) Ø Types of data Ø Descriptives (mean, SD, VAR, COV) Ø Graphs & charts |
+ homework or potential computer lab sessions in the afternoon |
| DAY 2 | Uni-variate Statistics | 4 hours (Classroom) |
| Alex Wilshaw |
Ø t-tests (paired & independent) Ø Chi2 Ø Correlation Regression Ø ANOVA & post-hoc tests |
+ homework or potential computer lab sessions in the afternoon |
| DAY 3 | Statistical Analysis, Interpretation & Reporting in SPSS | 3 hours (Computer lab) |
| Alex Wilshaw |
Ø Putting into practice the skills learnt during the previous two days, using SPSS Ø Potential to also use own data and gain feedback/help |
|
| DAY 4 | Statistical Analysis, Interpretation & Reporting in R | 3 hours (Computer lab) |
| João Cascalheira |
Ø Putting into practice the skills learnt during the previous two days, using R Ø Potential to also use own data and gain feedback/help |
|
| COURSE 2: Advanced Statistics and Multi-variate Analyses | ||
| DAY 1 | Advanced Statistics 1: Multivariate-Statistics | 3 hours (Classroom) |
| Alex Wilshaw |
Ø General Linear Models Ø Multiple Regression |
+ homework |
| DAY 2 | Advanced Statistics 2: Dimension Reduction | 4 hours (Classroom) |
| Alex Wilshaw |
Ø Principal Component Analysis Ø Discriminant Analysis Ø Using & understanding Residuals |
+ homework |
| DAY 3 | Statistical Analysis, Interpretation & Reporting | 3 hours (Computer lab) |
| Alex Wilshaw |
Ø Putting into practice the skills learnt during the previous two days, using SPSS Ø Potential to also use own data and gain feedback/help |
|
| DAY 4 | Statistical Analysis, Interpretation & Reporting in R | 3 hours (Computer lab) |
| João Cascalheira |
Ø Putting into practice the skills learnt during the previous two days, using R Ø Potential to also use own data and gain feedback/help |
|
Trainers
 |
Alex Wilshaw is a senior lecturer in evolutionary anthropology at the Liverpool James Moores University. He obtained his PhD from Cambridge University in 2012 and since then developed a keen interest in statistics applied to archaeology to push our understanding of human biological and behavioural evolution. He will make you love SPSS! |
 |
João Cascalheira is an assistant researcher at ICArEHB. He obtained his PhD at the University of Algarve in 2013, with a particular interest on computer applications in archaeological practices. Statistics allow him to further analyse artifacts and deduce human behaviour and ecological dynamics. He will make you love R!! |
Dates
Course 1 – An Introduction to Statistics and Uni-variate Analysis (6th to 9th of April 2022)
Course 2 – Advanced Statistics and Multi-variate Analyses (4th to 7th of May 2022)
Mode of training and location
Presential at FCHS, University of Algarve, Faro, Portugal
Total hours
13
Number of participants
Minimum: 10 / Maximum: 20
Registration fee
Free
Travel and accommodation expenses are paid by each participant (except ICArEHB members)
Confirmation of participation will be sent on February.
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