EH246-7-SU-CO:
Mixed Methods Research
2023/24
Essex Summer School in Social Science Data Analysis
Colchester Campus
Summer
Postgraduate: Level 7
Current
Monday 22 April 2024
Friday 28 June 2024
30
03 February 2023
Requisites for this module
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Aspiring social scientists often wonder, "what is mixed methods research?" and "when should I use mixed methods in my research?" But before making decisions about using mixed methods research, other questions should be considered, such as "what is my philosophical stance?" and "what is my research question?" In this course, I will introduce students to mixed methods research in the social sciences. This course will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies, along with guidance on using appropriate methods and instruments during data collection, integration, and analysis. The course content will be enhanced by an overview of both qualitative and quantitative methods, separately, then an examination of these methods together, and their valuable contributions to mixed methods research. The course provides (1) an introduction to mixed methods research; (2) an examination of the philosophical assumptions that guide the decision to use mixed methods research; (3) a context for data analysis and integration; and (4) a framework for drawing conclusions from mixed methods that inform future research, practice, and policy. A primary aspect of the course will be to teach students how to determine if mixed methods are necessary, given the problem statement and research questions.
No information available.
By the end of the course, students will be able to: (1.) Adopt a philosophical stance and highlight the major theoretical underpinnings guiding mixed methods research; (2.) Determine when someone should consider conducting a mixed methods study and understand the procedures for choosing a mixed methods design; (3.) Discuss measurement, sampling, and analyzing qualitative and quantitative data for mixed methods research; (4.) Describe ways to integrate and interpret qualitative and quantitative data to address a mixed methods research question; and (5.) Identify ways to disseminate results from mixed methods research.
Course Prerequisites
This is an introductory course. Participants are not required to have anything more than basic knowledge, comfort, and familiarity using one (or both) of the single methods (qualitative or quantitative).
Required text (this text will be provided by ESS):
Watkins, D. C. & Gioia, D. (2015). Mixed methods research. Pocket Guides to Social Work Research Methods Series. Oxford University Press: New York, NY. ISBN 9780199747450.
Module information will be made available at https://essexsummerschool.com/.
Please contact essexsummerschoolssda@essex.ac.uk and govpgquery@essex.ac.uk with any queries.
No information available.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Assessment one |
|
50% |
| Coursework |
Assessment two |
|
50% |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
No
No
No
Available via Moodle
No lecture recording information available for this module.
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