PY0656 - Advanced Statistics using SAS

What will I learn on this module?

On this module you will be introduced to the SAS analysis environment in which you will learn how to carry out more advanced quantitative methods, and to be able to compare these methods with those that you are familiar with in SPSS. You will start with an introduction to the SAS environment and its scripting language including basic data handling, data manipulation, descriptive statistical analysis and graphing. Then you will learn how to carry out analyses such as ANOVA and regression, with which you should already be familiar from your second year experience with SPSS. Finally, new and advanced analysis methods will be introduced and you will learn how to conduct, interpret and report these using the SAS environment.

You will learn how to communicate the results in the conventional manner and with due regard for the audience, and draw appropriate conclusions. You will also learn how to reflect critically on the use of such methods by yourselves and others.

How will I learn on this module?

You will learn by a series of interactive lectures and practical sessions. You will be taught in specialised IT labs where you can develop your statistical skills using the SAS package. You will learn also by discussing the methods used and how to report the outputs. Independent learning will also be required.

How will I be supported academically on this module?

You will be supported academically by the module tutor by making a variety of resources linked to the taught elements and assessments available on the eLearning Portal (e.g. PowerPoint slides, handouts, reading lists, directed assessment related-activities) along with links to websites to encourage further exploration of SAS, statistical analysis and data handling. A discussion board on the eLearning Portal will be available for students to pose and respond to questions among peers and to module tutors. This enhances collegiality and also means that support is available to all students.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at:
(Reading List service online guide for academic staff this containing contact details for the Reading List team –

What will I be expected to achieve?

Knowledge & Understanding:
• MK1: You will be able to show critical understanding and evaluation of key advanced statistical methods as they apply to experimental psychology
• MK2: You will be expected to demonstrate knowledge of research methods, advanced statistical analysis methods and programming in SAS

Intellectual / Professional skills & abilities:
• MIP1: You will demonstrate your competence in quantitative analysis methods by identifying research questions and being able to critically evaluate suitable methods.
• MIP2: You will show the ability to use the SAS analysis environment effectively by reasoning statistically using a range of tools and methodologies and performing a wide range of statistical tests using SAS. These are valuable skills to enhance your employability.
• MIP3 You will be able to understand the role of the module in enhancing your employability skills and its role in career development in your psychology pathway.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

How will I be assessed?

Formative Assessment
Practice exam questions will be available and feedback will be given in group discussions (MK1, MK2, MIP1, MIP2).

Summative Assessment
The main assessment consists of one 3-hour open book exam worth 90%. Data sets will be provided, and students will carry out appropriate analyses in SAS in order to provide answers in an MCQ format. (MK1, MK2, MIP1, MIP2).

The second assessment is a self-reflective account in which you will be asked to consider how this module has impacted on your employability and future career (MIP3). This will be worth 10% of the module mark.

For the exam, marks will be provided, and a generic breakdown of performance against question types.

You will be required to arrange a tutorial with your personal guidance tutor for formal feedback on your reflection.





Module abstract

On this module you will learn theoretical and practical knowledge of more advanced quantitative methods of analysing data in psychology, specifically using the SAS analysis environment. Therefore, not only will you further develop your data analysis skills you will learn skills which will equip you for postgraduate study, and for the job market. A range of methods will be studied and the communication of findings according to the most recent conventions and with due regard to the audience will be addressed. The module is delivered in weekly two-hour sessions in which some time is spent giving information about a technique and the rest providing the opportunity for you to practice the technique. Summative assessment will be: a reflective assessment as well as a three hour open book exam at the end of the semester.

Course info

UCAS Code C800

Credits 20

Level of Study Undergraduate

Mode of Study 3 years Full Time or 4 years with optional study abroad year

Department Psychology

Location City Campus, Northumbria University

City Newcastle

Start September 2024 or September 2025

Fee Information

Module Information

All information is accurate at the time of sharing. 

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.  

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.


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