Module ASB-4101:
Research Methods

Module Facts

Run by Bangor Business School

15 Credits or 7.5 ECTS Credits

Semester 2

Organiser: Prof Kostas Nikolopoulos

Overall aims and purpose

To provide the student with knowledge of intermediate and advanced qualitative and quantitative research methods, and provide a basis in research methodology.

Course content

Describing and summarising data; Probability and probability distributions; Principles of statistical inference; Correlation and regression analysis; Regression models for panel data.

Assessment Criteria

threshold

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

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: 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

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.

Learning outcomes

  1. Demonstrate an understanding of basic statistical concepts, basic ideas of sampling and statistical inference.

  2. Demonstrate a good foundation in research methods and techniques that can be applied in writing reports.

  3. Obtain data from primary and secondary sources, and carry out investigations using summary statistics, graphs, techniques of exploratory data analysis, correlation and regression.

  4. Formulate feasible research questions and strategies; and assemble, select and present the results of data analysis and data modelling.

  5. Demonstrate computer skills for data analysis and modelling, and use statistical computer packages.

Assessment Methods

Type Name Description Weight
Coursework 40
Final Exam Marl 60

Teaching and Learning Strategy

Hours
Lecture

Six weekly 3-hour lectures: 18 lecturing hours in total- but done over three weeks. So every week there should be scheduled two 3h continuous lectures. Three weeks are dedicated to lecturing. These should be in a room where teamwork can be enabled and students should be always bringing their laptops, tablets and pocket calculators as very often numerical exercises and data retrieval take place in the class. Essential for two traditional whiteboards to exist as numerical exercises are solved in class.

18
Practical classes and workshops

Four weekly 3-hour tutorials-workshops: 12 tutorial hours in total- but done over two weeks. So every week there should be scheduled two 3h continuous lectures. Two weeks are dedicated to tutorials. These should be in a room where teamwork can be enabled and students should be always bringing their laptops, tablets and pocket calculators as very often numerical exercises and data retrieval take place in the class. Essential for two traditional whiteboards to exist as numerical exercises are solved in class. Good internet connection is needed in the room.

12
Private study

for every one hour of lecture or tutorial, there should be 4 hours of private study to digest the material covered and to complement with self-study of the book and solve similar exercises at home. At this time the 40% assignment also should be completed.

120

Transferable skills

  • Literacy - Proficiency in reading and writing through a variety of media
  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
  • 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.
  • Safety-Consciousness - Having an awareness of your immediate environment, and confidence in adhering to health and safety regulations
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team
  • Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting
  • Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others

Pre- and Co-requisite Modules

Pre-requisite of:

Courses including this module

Compulsory in courses: