Research Methods II: Introduction to Statistical Analysis (PSYC0107)

Key information

Faculty: Faculty of Brain Sciences
Teaching department: Division of Psychology and Language Sciences
Credit value: 15

Restrictions: This module can only be taken by students registered on a relevant Masters programme delivered by Anna Freud.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module follows on from Research Methods 1, which runs in Term 1. Each teaching session consists of a lecture introducing a statistical test and/or concept, and an SPSS computer workshop.

The main aim of the module is to equip students with understanding of statistics and skill to use the SPSS computer programme, to enable them to plan and conduct quantitative data analysis for MSc research projects, and to be able to understand and critically evaluate analytical methods and results in research carried out by others.

Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Exam
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 34
Module leader: Dr Dominika Dykiert
Who to contact for more information: DPCPAdministrator@annafreud.org

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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