PSY40760 Adv Research Methods & Stats

Academic Year 2023/2024

This module is designed for postgraduate students completing the Masters in Behavioural Neuroscience, and aims to support them to develop their quantitative research skills to an advanced level. The focus of the module will be on acquiring the methodological and analytical skills necessary to complete a research project of publishable quality. The topics covered include quantitative design analysis techniques. Teaching methods will include classroom seminars and advanced methodology laboratories, and students will be expected to complete set tasks and reading in between sessions. In addition, this module contains a series of practical workshops in R, a statistical programming package. Students will learn how to use R to analyse and visualise quantitative data.

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Curricular information is subject to change

Learning Outcomes:

When students have completed this module they will be:
- Able to demonstrate skill in quantitative analysis, interpretation and presentation of data.

Indicative Module Content:

Advanced quantitative design and analysis

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

18
Practical

9
Computer Aided Lab

6
Specified Learning Activities

21
Autonomous Student Learning

70
Total

124
Approaches to Teaching and Learning:
The module includes both lectures (morning session) and hands-on lab activities (afternoon session). The lab activities focus on task based learning in pairs/groups. Students are also encouraged to reflect on the nature of debates in research design and consider how they might apply to their previous experience and planned research activity.

Students will attend three Introduction to Statistics in R morning workshops and via active-task-based sessions learn how to use R to analyse and visualise quantitative data sets. 
Requirements, Exclusions and Recommendations
Learning Recommendations:

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


Module Requisites and Incompatibles
Incompatibles:
PSY40440 - Adv. Research Methods & Stats


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Portfolio: Analyse large dataset and interpret to APA standard including in class skills test and take home component. Coursework (End of Trimester) n/a Graded Yes

100

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

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Group feedback on key areas for development relevant to upcoming activities assignment given in class. Students receive individual written feedback on end of trimester portfolio.

Name Role
Assoc Professor Nuala Brady Lecturer / Co-Lecturer
Monika Pilch Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Autumn
      
Seminar Offering 1 Week(s) - 3, 5, 7 Wed 09:00 - 12:50
Seminar Offering 1 Week(s) - 9, 10, 11 Wed 09:00 - 12:50
Small Group Offering 1 Week(s) - 9, 10, 11 Wed 13:00 - 16:50
Autumn