PSY40630 Advanced Quantitative Design

Academic Year 2022/2023

This module is designed for graduate research students in psychology who are developing their quantitative and statistical skills to an advanced level. The focus of the module will be on acquiring the methodological and statistical skills necessary to complete an advanced research project of publishable quality. Teaching methods will include seminars and computer laboratories. Statistical packages used include SPSS and AMOS.

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Curricular information is subject to change

Learning Outcomes:

Students who have completed this module should be able to choose the most appropriate methodological technique or statistical procedure for their research project and demonstrate skill in the use of that method and interpretation. The key topics vary each year based on the feedback/needs; please be in touch with the module coordinator with specific questions.

Student Effort Hours: 
Student Effort Type Hours
Seminar (or Webinar)


Specified Learning Activities


Autonomous Student Learning




Approaches to Teaching and Learning:
fewer longer sessions, with a small supportive group, allows for in-depth discussion of analysis techniques and issues of relevance to the students' own research. Hands on skills based examples are used so students can try for themselves as the topic is covered. 
Requirements, Exclusions and Recommendations
Learning Recommendations:

This is an advanced statistics module and is only suitable for students who have taken statistics modules in the behavioural sciences at an undergraduate level.

Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Conduct mediation and/or moderation analyses on real data and write up APA-style Method & Results section. Coursework (End of Trimester) n/a Pass/Fail Grade Scale No


Portfolio: Participation Throughout the Trimester n/a Pass/Fail Grade Scale No


Carry forward of passed components
Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Lecture Offering 1 Week(s) - 5, 6, 7, 9, 10, 11 Wed 10:00 - 12:50