Research Methods and Statistics module (CA52022)
Learn about research methods and statistical analysis for biological and forensic anthropology. This will cover the basics as well as more advanced knowledge
15
CA52022
Learning data analysis and statistical methods is crucial for forensic anthropologists. These skills enable you to interpret complex data accurately and identify patterns. They allow you to make evidence-based conclusions.
In biological and forensic anthropology, statistical tests are needed to understand data. These are used in relation to determining the sex, age, ancestry, and stature (the biological profile). They also have other various purposes. Data analysis helps in developing research. It can also validate findings and ensure that they meet legal standards.
By mastering these techniques, forensic anthropologists can provide more reliable and scientifically sound results. This ultimately leads to aiding in the pursuit of justice and contributing to the broader scientific community.
You will be introduced to research methods and statistical analysis. This will cover the basics and also more advanced knowledge.
The content will cover different statistical approaches. These will be covered from a theoretical and practical point of view.
What you will learn
In this module, you will learn:
- basic terminology related to data analysis and interpretation
- development of critical analytical skills to assess methods of data analysis
- basic concepts on design and performance of research projects
- data preparation and data analysis in SPSS
- different statistical approaches and results interpretation
By the end of this module, you will:
- be able to understand the basic concept for data analysis
- be able to perform statistical approaches commonly used in the field of forensic and biological anthropology
Assignments / assessment
- coursework (70%)
- theory tests (30%)
Teaching methods / timetable
- Theoretical sessions
- Practical sessions
In these sessions you will learn about a range of topics such as:
- research design
- sample size
- parameters under consideration
- statistical assumptions
- statistical tests
- interpretation of results
Courses
This module is available on following courses: