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  6. ED55G1: Research Methods and Data Analysis

ED55G1: RESEARCH METHODS AND DATA ANALYSIS (2017-2018)

Last modified: 27 Feb 2018 12:38


Course Overview

This course addresses a number of the key strands in the MSc (Educational and Social Research) programme (such as the nature of practitioner enquiry in educational research, the relationship amongst: research, policy and practice, critical reading of texts, research and policy, and different views of knowledge). Focusing on quantitative and qualitative research design and applications, the course aims to explore conceptions of reality and different views of knowledge and characteristics of quantitative and qualitative research. A variety of methodological orientations are studied: practitioner research; ethnography; critical discourse analysis; and statistical approaches.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Peter Mtika
  • Dr Laura Colucci-Gray
  • Dr Rachel Shanks
  • Dr Dean Robson

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • Education (ED) (Studied)
  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • ED55G4 Quantitative & Qualitative Methods & Data Analysis (In Education) (Studied)

Are there a limited number of places available?

No

Course Description

Advanced understanding of research design processes and methodological choices; Inductive and deductive approaches to analysis and interpretation; Quantitative methods and analysis: Statistical tests in application. Principles of correlation, causality, probability and significance and the link to educational research; Qualitative methods and analysis: Coding practice, grounded theory, narrative analysis and transcription analysis; Advanced interview techniques and the link to analysis and interpretation; Practical skills in data handling and management; Use of statistical packages of relevance and applied to the educational context for both small scale and larger scale research; Secondary data analysis (quantitative and qualitative); Presentation of analysed data for various educational audiences.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Identification of secondary data relevant to an educational context. Analysis of data and production of a report and presentation of secondary findings. (4,000 words) OR Mini-investigation in educational field of interest to participant. Report on research design, methodology, data collection and analysis, critical reflection (4000 words). Resit: Resubmission of written work.

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.
 

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