Year | 2022 |
---|---|
Main Department | Department of Biological Sciences, Geological and Environmental - BiGeA |
Campus | Bologna |
Credits | Programme without credits |
Cost | €350 |
Starting date | Oct 10, 2022 |
Finishing date | Oct 14, 2022 |
Application deadline | Sep 22, 2022 (Expired) |
- Course overview
- Nowadays, statistical assessment of human osteological data is critical to address research questions in the field of biological and forensic anthropology, as well as in paleoanthropology. Great amount of osteological data needs to be processed with different approaches following statistical criteria, which are often unfamiliar to students at the beginning of their careers in anthropology. The summer school OsteoData will provide a theoretical basis to statistical methods in anthropology, and a full immersion of practical sessions.
- Subject area
- Sciences and technology, Health
- Learning outcomes
- Students will be trained at collecting and registering osteological variables, managing and analyzing data in R and Past software, choosing the appropriate analysis for the research questions, interpreting the results. Real anthropological case studies will be presented, and participants will develop the statistical workflow to verify the research hypotheses
- Number of participants
- 30
- Duration
- 5 days
- Language
- English
- Additional information
To register, please fill the form attached and send it to Teresa Nicolosi (teresa.nicolosi2@unibo.it)
- Admission qualifications
- MA and PhD students.
- Academic director
- Prof. Maria Giovanna Belcastro
- Place of teaching
- Dept. of Biological, Geological and
Environmental Sciences – BiGeA. Via Selmi
3, 40126 Bologna, Italy.
All lectures will be given in
hybrid mode (live and remote). - Study plan
Day one – 10th October, 2022 (14.00-18.00)
- Introduction to human osteological data
- Study design and data collection
- Recording of osteological dataDay two – 11th October, 2022 (14.00-18.00)
- Introduction to common statistical software for analyzing osteological data
- Assessment of data type (qualitative vs. quantitative variables)
- Dataset creation
- Descriptive statistics in R, Excel and PastDay three – 12th October, 2022 (14.00-18.00)
- Statistical hypothesis and test selection
- Sample size, normality and variance homogeneity
- Univariate statisticsDay four – 13th October, 2022 (14.00-18.00)
- Multivariate statistics:
- Principal component analysis
- Cluster analysis
- Multidimensional scalingDay five – 14h October, 2022 (14.00-18.00)
- Predictive models:
- Logistic regression
- Linear discriminant analysis
- Tips and tricks with aperitivo