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Fundamental Statistics: Statistical and Causal Reasoning (PSYC0223)

Key information

Faculty
Faculty of Brain Sciences
Teaching department
Division of Psychology and Language Sciences
Credit value
15
Restrictions
This module is only for students from the following programmes: MSc Psychological Sciences MSc Language Sciences (all four routes) MRes Speech and Language Sciences
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This course provides an introduction to statistics for analysing the results of psychological experiments and observational studies. The course covers different types of data and how to describe them, the principles underlying null hypothesis significance testing, and common tests and analyses, including ANOVA, correlation, regression and the general linear model. The course will focus on how to decide on the suitable analysis for a given problem, and how to evaluate the appropriateness of a statistical model and its underlying assumptions. Emphasis is placed on a conceptual understanding of statistical methods, and in most cases definition rather than computational formula are presented. Practical experience in applying the methods will be developed through exercises in Microsoft Excel and with the statistics package SPSS.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Coursework
10% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
51
Module leader
Mr Stephen Dewitt
Who to contact for more information
h.spikesley@ucl.ac.uk

Last updated

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

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