RDGY41010 Research Methods & Statistics

Academic Year 2019/2020

This core module will teach students the theoretical background that underpins informed research methods, research practice and statistical analysis, provide students with the theoretical and technical expertise to produce high quality research theses, advance individual practice of research methods and statistical analysis to a high level of competence and confidence, and facilitate students in undertaking and contributing to multi-disciplinary team and research projects. It will also cover the practical application of descriptive statistics, non-parametric tests, sampling of data, further exploration of data along with the graphical presentation of research data.

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Curricular information is subject to change

Learning Outcomes:

On completion of the module the student shall be able to:1.Demonstrate awareness of the aims and philosophy of research. 2.Demonstrate awareness of the necessity for research-based practice and audit in their particular area of interest. 3.Explain and defend the chosen research process and overall study design. 4.Formulate a research question. 5.Conduct comprehensive literature searches. 6.Effectively appraise the literature surrounding a research topic. 7.Write and comprehensively evaluate a research proposal. 8.Show understanding of the ethics surrounding research. 9.Select and develop where appropriate high quality measurement instruments for research, including questionnaires. 10.Design and undertake qualitative, quantitative and randomised control trials as required to suit the research proposal / study design. 11.Understand the principles underpinning descriptive and inferential statistics. 12. Use SPSS for basic data management and analysis.13.Learn to effectively use web-based online material for SPSS tutorials which will facilitate further statistical analysis for more complex problems in lifelong learning.14.Demonstrate effective problem solving for data analysis in SPSS packages within guided tutorials.

Student Effort Hours: 
Student Effort Type Hours
Lectures

25
Practical

5
Specified Learning Activities

30
Autonomous Student Learning

190
Total

250
Approaches to Teaching and Learning:
Not yet recorded 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Students must complete four statistical tasks from online learning of Statistical package Week 12 n/a Graded No

15
Assignment: Submission of a research proposal, grant proposal, systematic review or ethical application depending on status of students own research Varies over the Trimester n/a Graded No

45
Assignment: Critical review of data analysis methods, graphical presentation of data, or analysis and critique of own data Coursework (End of Trimester) n/a Graded No

40

Carry forward of passed components
Not yet recorded
 

Not yet recorded
Please see Student Jargon Buster for more information about remediation types and timing. 
Not yet recorded
Name Role
Dr Kathleen Curran Lecturer / Co-Lecturer