Undergraduate Course: Data Analysis for Psychology in R1 (PSYL08013)
|School||School of Philosophy, Psychology and Language Sciences
||College||College of Humanities and Social Science
|Credit level (Normal year taken)||SCQF Level 8 (Year 1 Undergraduate)
||Availability||Available to all students
|Summary||This course provides foundations in working with data, probability, hypothesis testing and the use of R statistical programming environment.
The course is taught based on a mixture of lectures, labs and structured independent learning tasks. In semester 1, lectures cover fundamental principles of describing data and of probability theory. In semester 2, lectures build up to discussion of how we make inferences about our hypotheses in psychology, dealing with probability distributions, sampling and hypothesis testing. The course then introduces simple statistical tests for two variables by way of example. In labs, the course starts from scratch, assuming no knowledge of programming. In labs, the course introduces the fundamental principles of R programming, with a focus on understanding in a general way how R works, such that these principles can be applied to the use of R for applied data analysis. Students will apply this learning to topics such as basic calculation, data management, plotting and use of simple statistical tests.
Collectively the course will teach basic programming and data analysis skills, including the principles of applying quantitative analysis to answering research questions, and the fundamentals of writing up and reporting results in an accurate way.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|Pre-requisites||Visiting students welcome.
|High Demand Course?
Course Delivery Information
|Not being delivered|
On completion of this course, the student will be able to:
- To understand how to describe different types of data graphically and statistically.
- To understand the fundamentals of probability and how it relates to hypothesis testing.
- To understand the structure of a hypothesis test and how this is implemented in psychology.
- To have a basic understanding of the R programming environment in order to be able to complete data manipulations, plots and analyses.
- To understand the purpose of, and to be able to compute and interpret, simple statistical tests using R.
|Graduate Attributes and Skills
|Keywords||research methods; statistics; psychology
|Course organiser||Dr Thomas Booth
Tel: (0131 6)50 8405