Undergraduate Course: Data Analysis for Psychology in R1 (PSYL08013)
Course Outline
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 
SCQF Credits  20 
ECTS Credits  10 
Summary  This course provides foundations in working with data, probability, hypothesis testing and the use of R statistical programming environment. 
Course description 
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)
Prerequisites 

Corequisites  
Prohibited Combinations  
Other requirements  None 
Information for Visiting Students
Prerequisites  Visiting students welcome. 
High Demand Course? 
Yes 
Course Delivery Information
Not being delivered 
Learning Outcomes
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.

Additional Information
Graduate Attributes and Skills 
Not entered 
Keywords  research methods; statistics; psychology 
Contacts
Course organiser  Dr Thomas Booth
Tel: (0131 6)50 8405
Email: Tom.Booth@ed.ac.uk 
Course secretary  

