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School of Psychology

Advanced Statistics (978C8)

Advanced Statistics

Module 978C8

Module details for 2025/26.

15 credits

FHEQ Level 7 (Masters)

Full Module Description

This module will allow students to develop their theoretical understanding of and practical abilities in applying advanced statistical methods to psychological research questions.Students will learn a range of advanced statistical techniques in depth, such as meta-analysis, longitudinal data analysis, or multilevel modelling.

Module Outline

This module will allow students to develop their theoretical understanding of and practical abilities in applying advanced statistical methods to psychological research questions.Students will learn a range of advanced statistical techniques in depth, such as meta-analysis, longitudinal data analysis, or multilevel modelling.

Module learning outcomes

Utilise a range of advanced statistical techniques relevant to psychology

Critically evaluate the use of advanced statistical techniques in answering novel psychological research questions

Communicate the findings and results of advanced statistical techniques in a concise and discipline-appropriate manner

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 60.00%
Computer Based ExamT2 Week 10 40.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterWorkshop3 hours11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Martina Sladekova

Assess convenor, Convenor
/profiles/415192

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.