Run by Bangor Business School

20.000 Credits or 10.000 ECTS Credits

Semester 2

Organiser: Prof Edward Shiu

This module introduces you to key concepts in the design of quantitative research and key analysis techniques used by management researchers in academia and practice. This module uses a problem-oriented approach to learning and the structure of the lectures and computer-based workshops aims to provide a theoretical and practical understanding of quantitative data collection and analysis issues. Key quantitative analysis techniques are covered include hypothesis testing, regression, experimentation and structual equation modelling.

The module will cover a wide range to topics that focus on the analysis of quantitative data gained from either survey or experiments. Alongside a focus on analysis methods students will gain a thorough grounding in issues around the collection of quantitative data be it primary or secondary. Students will gain experience of analysing data using multiple techniques (such as different types of hypothesis tests, multiple regression, and modelling). Students will gain an appreciation of the requirements to consider mediation and moderation models.

threshold

Satisfactory standard (50-59%): No major omissions or inaccuracies in the deployment of information/skills. Some grasp of theoretical/conceptual/practical elements. Integration of theory/practice/information present intermittently in pursuit of the assessed work's objectives.

good

Average Standard (60-64%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.

High Standard (65-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills

excellent

Excellent standard (70%+): An outstanding performance, exceptionally able. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.

1. Demonstrate an understanding of statistical results in journal articles and other academic sources.

2. Apply managerial judgement, analytical and critical skills to interpret and understand the relevancy of quantitative research data.

3. Analyse data applying techniques (such as regression analysis, multidimensional scaling, hypothesis testing) to understand perceptions, attitudes, and behaviour.

4. Acquire a working knowledge of analysis techniques using SPSS and Amos.

5. Demonstrate a thorough understanding of the research process applying a quantitative approach.

Type	Name	Description	Weight
REPORT	Data Analysis Report	A 2,000 word data analysis report each student in the class will be given a unique data set on the same topic	50.00
ESSAY	CRITICAL METHODS ESSAY	A 2,000 word critique of the use of a quantitative approach for the proposed PhD topic providing a discussion of which techniques learnt during the module could be incorporated into the data analysis plan.	50.00

		Hours
Private study	Reading time, preparing and taking assessments.	160
Lecture	2 hours a week for 10 weeks (20 hours) plus 4 hours a week for 2 weeks (8 hours) of lecture.	28
Practical classes and workshops	6 two hour practical lab sessions teaching quantitative techniques using SPSS and Amos.	12

• Numeracy - Proficiency in using numbers at appropriate levels of accuracy
• Computer Literacy - Proficiency in using a varied range of computer software
• Exploring - Able to investigate, research and consider alternatives
• Information retrieval - Able to access different and multiple sources of information
• Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
• Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
• Management - Able to utilise, coordinate and control resources (human, physical and/or financial)
• Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting

• Problem solving and critical analysis: analysing facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions.
• Research: the ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making.
• Numeracy: the use of quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.
• Articulating and effectively explaining information.
• Communication and listening including the ability to produce clear, structured business communications in a variety of media.
• Conceptual and critical thinking, analysis, synthesis and evaluation.

Compulsory in courses:

• N1BR: PG Cert Research Methodology year 1 (CERT/RM)
• N1BP: MSc Research Methodology year 1 (MSC/RM)