Award: 5 credits at Level 9 towards 90 credit Master in Education (Leadership)
Duration: 15/09/2014 - 24/10/2014
Start Date: 15/09/2015 (Semester 1 part one - Masters programme only)

EDUC42380 Quantitative Research Methods


This module provides an introduction to quantitative research techniques with a view to participants’  having a clear understanding of the key concepts that relate to quantitative inquiry. This module aims to develop a critical appreciation of the key methods including the generation and interpretation of  descriptive and inferential statistics, such as cross-tabulations and chi-square. The evaluation of existing research instruments and the development and design of new questionnaires are discussed, as are the conceptual and contextual factors determining the meaning and value of quantitative data.

What will I study?

This module provides an introduction to quantitative research techniques with a view to participants’  having a clear understanding of the key concepts that relate to quantitative inquiry. This module aims to develop a critical appreciation of the key methods including the generation and interpretation of  descriptive and inferential statistics, such as cross-tabulations and chi-square. The evaluation of existing research instruments and the development and design of new questionnaires are discussed, as are the conceptual and contextual factors determining the meaning and value of quantitative data.

How will I study?

This module will involve on campus and online components. It is envisaged that a key concepts relating to quantitative methodologies will be explored on-line and these sessions will be followed by an on-campus practical workshop that will provide students with the opportunity to apply their knowledge to real-life, school based scenarios. All of this work will be explored and reinforced in follow up online tutorials.

Expected Commitment

The expected workload is as follows:

  • Attendance at seminars on campus 10 hours
  • Contribution to weekly online discussion forum 10 hours
  • Student Autonomous Learning (additional reading etc) 50 hours
  • Case study task – 20 hours
  • End of semester written assignment 30 hours

How will I be assessed?

Description

(Different assessment options are available – details will be provided at the start of the module)

% of Final Grade

Timing

Learning Outcomes

On successful completion of this module I will be able to:

  1. Interpret quantitative information from formulas, graphs, tables, schematics, simulations, and visualizations, and draw inferences from that information.
  2. Represent quantitative information symbolically, visually, and numerically.
  3. Develop a clear understanding of the range of concepts that relate to quantitative including frequency distributions, mean median mode and SD as well as inferential statistical analysis including analysis of variance, corelations and tests of significance.