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Research Methods (SLAN0012)

Key information

Faculty
Faculty of Brain Sciences
Teaching department
Division of Psychology and Language Sciences
Credit value
15
Restrictions
Restricted to MSc Speech and Language Sciences students,
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module aims to develop students’ understanding of research design and statistical methods used in speech and language research and in the evaluation of therapy for communication disorders. It provides direct experience and knowledge of methods used to investigate and evaluate clinically relevant topics. Students will learn how to select and apply a range of statistical analysis methods in experimental research by exploring literature and understanding the importance of the various approaches for different circumstances. The course has a strong practical and literature-based foundation.

AIMS

  • To develop knowledge of research design and statistical analysis relevant to speech and language research and evaluation
  • To enable the application of statistical methods to issues in clinical research and evaluation.
  • To develop practical skills in using a statistical package to analyse data sets
  • To understand the key concepts and terminology that underpin statistics

LEARNING OUTCOMES

Knowledge and understanding

At the end of this module, students will be able to demonstrate knowledge and understanding of:

  • Basic methods for checking the accuracy of data
  • Exploratory data analysis and data visulisation
  • Basic statistical inference involving t-tests, confidence intervals and effect size statistics
  • Linear regression, including correlation
  • Experimental designs appropriate for analyses of variance
  • Chi-squared analysis of categorical data

Skills

At the end of this module, students will be able to:

  • Select statistical tests appropriate to supplied data sets
  • Implement appropriate computer-based analyses
  • critically appraise different approaches and consider if alternative analysis approaches might be superior

Module deliveries for 2024/25 academic year

Intended teaching term: Academic year (terms 1, 2, and 3) ÌýÌýÌý Postgraduate (FHEQ Level 6)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Fixed-time remote activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
63
Module leader
Dr Victoria Fleming
Who to contact for more information
MSC-SLS-ADMIN@PALS.¹û¶³Ó°Ôº.AC.UK

Last updated

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

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