Applied Quantitative Methods in Education Research

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• employ appropriate techniques for the systematic analysis and interpretation of sources of quantitative data associated with the range of methods studied;
• Understand the principles of sound research design which enable robust collection of data associated with the range of quantitative methods studied;
• Demonstrate critical awareness of a wide range of methods for the collection and analysis of quantitative data;
• recognise the means by which theory may be developed and linked to the range of techniques used for interpreting and writing about the findings derived from quantitative research data.

The module will focus on different approaches to the collection and analysis of quantitative data via methodologies commonly used in research applied to education contexts. Students will attend workshops which focus on the specific characteristics of each selected approach, and will be encouraged to compare and contrast their underpinning philosophical positions and associated theoretical perspectives, as well as practical details related to aspects of the relevant research designs such as appropriate sampling strategies, choice of data collection methods, and issues related to the collection and analysis of data.

The module provides a flexible approach to developing a bespoke research methods toolkit for Education research students, which should enable students to engage in the design and implementation of their own research projects in a more critical and informed way. At the same time, it also provides an opportunity to broaden the range of methods with which the student is familiar in order to make better critical use of pre-existing research evidence. To facilitate the flexible approach students will be required to register for and attend the relevant research skills development workshops in different approaches to research associated with the collection and analysis of quantitative data. The workshops will employ a range of teaching and learning methods. Group sizes are likely to be modest and provide a mix of -whole-class lecture and discussion; -small group interactive discussion and activities; -hands-on practical tasks related to data collection and analysis. Where appropriate sessions will be supported by the use of appropriate assistive technologies and software tools for the purpose of data collection and/or analysis. Members of the student's supervisory team will provide additional tutorial support during the module, which will include discussing the focus for the module assignment and how it relates to the students' individual research training needs and proposed research project.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.