EDUC41860 Research Methods 2

Academic Year 2023/2024

This module follows on from Research Methods 1, which introduced students to the methods and skills needed to undertake postgraduate social science and educational research. This module will build on the previous module by developing the student’s knowledge of quantitative and qualitative research design and methodology, and will introduce mixed methods approaches. Students will gain experience in using statistical software to work with quantitative data, and will conduct univariate and bivariate analyses of these data. Students will also work with interview transcripts to gain experience of coding qualitative data.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students will be able to:

1. Identify the core principles of quantitative, qualitative and mixed methods research
2. Demonstrate an awareness of ethical issues in educational research
3. Understand the principles and practice of quantitative and qualitative data collection
4. Be able to use statistical software to manage quantitative data
5. Be able to conduct and report on descriptive and inferential analyses
6. Conduct and report on a thematic analysis of qualitative interview data

Indicative Module Content:

Introduction to statistical software
Questionnaire coding and data input
Descriptive statistics
Tests for comparing groups
Correlation and regression
Coding interview transcripts
Thematic analysis
Interpretive phenomenological analysis
Grounded theory
Discourse analysis

Student Effort Hours: 
Student Effort Type Hours
Lectures

12

Tutorial

12

Specified Learning Activities

40

Autonomous Student Learning

136

Total

200

Approaches to Teaching and Learning:
The module uses a mixture of lectures and active learning through task-based activities and group work. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Group Project: Presentation on analysis of quantitative and qualitative data. Coursework (End of Trimester) n/a Graded No

100


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

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Feedback on student competency using data analysis tools and strategies will be provided on an informal basis during tutorials by the class tutor. Written feedback on the final assignment will be provided to individual students by the module coordinator after the assignments are submitted.

Name Role
Dr Seaneen Sloan Lecturer / Co-Lecturer
Dr Emma Farrell Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 11:00 - 12:50