|TITLE||Quantitative Research Methods: An Introduction|
|LEVEL||D - Doctoral Workshops/Symposium|
|ECTS CREDITS||Not Applicable|
|DESCRIPTION||Any research, be it framed in the context of hardsciences or social sciences, inescapably has quantitative components. Pursuing research, addressing research questions, and finding meaningful data structures, entail mastering different approaches and techniques that allow researchers to get the most out of their data. This workshop aims to provide participants with a broad picture of quantitative methods and approaches to data analysis. It will put emphasis on ideas rather than calculations, and will provide a demystified view of statistics and, more importantly, of their practical application and interpretation. All the approaches and techniques will be put in context and illustrated by means of practical examples in order to make participants aware consumers, as well as producers, of statistics.
By the end of this workshop, doctoral researchers should be:
- more aware of how data are described meaningfully using a range of statistics;
- aware of the potential and limitations of each descriptive statistic in the context of their analytical goals;
- able to highlight relevant information and specific aspects of data using appropriate charts and tables;
- able to develop a background for a critical approach to data analysis and interpretation.
|ADDITIONAL NOTES||Timetable Details
Occ A - Date: 13 Nov 2020; Time: 9:00 - 12:00; Duration: 3 hours
|METHOD OF ASSESSMENT||
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the description above applies to study-units available during the academic year 2020/1. It may be subject to change in subsequent years.