Posted: September 7th, 2024

1
ASSIGNMENT FRONT SHEET
Student Name:
Certification : I certify that the whole of this work is the result of my individual effort and
that all quotations from books, periodicals etc. have been acknowledged.
Student Signature: Date:
Student Registration Number:
Student email address :
Level : 7
Assignment no : 1
Programme : MBA/MPA
Academic Year : Carousel Delivery
Module title : Research Methods
Module code: ONL722 Word guide: circa 1,050
excluding references etc.
Percentage Weighting of this assignment for the module: 30%
Issue date : First Week of the Module
Lecturer : Second marker :
Notes for students :
1. Electronic copy of assignment must be submitted through Turnitin.
2. 10% of marks are awarded for satisfactory use of language and/or good presentation.
3. 5% of marks are awarded for satisfactory referencing and/or presentation of a bibliography where either is
required. Note that all referenced work should be obtained from credible sources.
4. Students should ensure that they comply with Glyndwr University’s plagiarism policy.
5. Students should make correct use of the Harvard referencing method.
Learning Outcomes Tested in Assessments One (30%) and Two (70%)
1) Demonstrate a critical understanding of quantitative data analysis and apply appropriate analytical
techniques to a range of data using quantitative data analysis software. (Assignment Two)
2) Demonstrate a critical understanding of qualitative data analysis and apply appropriate analytical techniques
to data using qualitative data analysis software. (Assignment Two)
3) Develop a comprehensive and practicable research proposal which includes a viable research question and
supporting aim and objectives. (Assignment One)
4) Design an appropriate research methodology proposing a suitable sampling strategy; data collection
approach; valid analytical method(s); associated philosophical stance; and any ethical issues related to the
research question. (Assignment One)
Assignment feedback:
Mark %
2
Masters Level Marking Criteria
Description:
Fail:
Marks
below 30%
No work has been submitted in the time allowed, or the work submitted
demonstrates little or no understanding of the task or the subject matter. This may
be evident where the work is substantially incoherent, irrelevant or lacking in
factual content, or where these shortcomings are present in combination such that
the work as a whole is unsound. Major errors of fact, or evidence of substantially
poor cognitive or other relevant skills will also lead to a fail.
Description:
Fail:
Marks in the
range
30% – 39%
The work shows some knowledge and required skills are present to a degree. There
may be appreciable error or omission of facts, poor structure, misdirection to the
task, or poor conceptualisation or illustration of the work. Evidence of analysis and
evaluation is weak. There will be indications in the work that the candidate is
capable of improving it by further application to the task
Description:
Pass:
Marks in the
range of
40% – 49%
The work contains sufficient descriptive information. There is some analysis and
explanation with appropriate illustration and example, and some attempt to
evaluate. The work will generally be coherent and relevant, it will contain some
useful proposals or solutions related to familiar solutions and there will be some
attempt at originality. It will be communicated clearly.
Description:
Pass:
Marks in the
range of
50% – 59%
The work contains all the necessary contextual information. There will be adequate
analysis, explanation and conceptualisation, with appropriate illustration and
example, and sound attempts to evaluate and judge. The work will be substantially
coherent and will contain relevant and feasible proposals or solutions related to
familiar situations, some responses to uncertainty or ambiguity and some
acknowledgements of the implications of change.
Description:
Pass:
Marks in the
range of
60% – 69%
The work will contain complete explanations using most available information.
There will be substantial analysis; the ability to recognise evidence, use ideas,
conceptualise, evaluate and judge in familiar situations will be clearly
demonstrated. Proposals or solutions will be contextually relevant and useful, with
substantial evidence of the skill necessary to operationalize them in a variety of
situations, including those in which uncertainty, ambiguity or change are present.
The work will provide evidence of originality and of useful knowledge transfer to
novel situations. It will be coherent and convincing.
Description:
Pass:
Marks in the
range of
70% and
above
The work will clearly demonstrate the ability to analyse accurately, reliably and fully,
all relevant information; to use evidence; to conceptualise, evaluate and judge; to
propose and operationalise effective solutions, and to show substantial originality
and creativity in a variety of familiar situations or in the face of ambiguity,
uncertainty or change. It will demonstrate valuable knowledge transfer and
propose feasible solutions for a wide range of situations. Evidence of the ability to
innovate will be present.
3
Assignment One (30%) – Research Proposal
For Assignment One, you are required to design a research proposal in your cognate area of
specialisation. The deadline is 1pm (UK time) on the Monday of week four.
For example, if you are studying toward an MBA in finance, you may write about a finance or
accounting theme as follows:
• The Application Machine Learning in Finance: A Case of Stock Consultant Ltd.
• Working Capital Analysis: Interviews with ABC Banking Staff
• The Capital Asset Pricing Model Using London Stock Exchange Data and Others
Whereas, if you are studying toward an MBA in marketing, you may write about a marketing or
consumer behaviour topic, such as follows:
• Consumer Satisfaction Analysis Using Tweets: A Sentiment Analysis
• Evaluating a Competitor’s Marketing Strategy Using Web Scraping
• Digital Social Media Communication in SuperSupermarket Liverpool
You may choose any topic according to your specialisation: MBA, MBA Human Resource
Management, MBA Marketing, MBA Finance, MBA Project Management, MBA Health
Management, MBA Entrepreneurship, MBA Cyber Security, MBA Big Data, MBA Psychology,
MPA, MPA Finance, MPA Project Management.
Please watch the lectures for week zero and week one to help you decide which topic or theme to
study and which topic to avoid. In addition, please ensure that you are writing a research
proposal pertaining to your specialization. For example, if you are studying MBA Finance, then you
should not write a research proposal on an area of HR, or vice versa. The research proposal (and
dissertation) is a significant part of your study because your future clients, colleagues and potential
employers, etc. will read your credible dissertation that relates to your strengths and aspirational
career.
You may also adhere to ‘action research’ by writing a research proposal for your own business or
the company you work for, which will be useful for your aspirational career. In addition, you should
focus on a recent topic or ‘currency’. For example, some topics are outdated: ‘Analysing Customer
Opinion through Fax Survey’ or similar should instead involve analysis via mobile or online survey,
as no one sends surveys through fax anymore. Your research proposal and dissertation should reflect
your sense of pride, achievement and future aspiration.
Relevant examples for Assignments One and Two will be provided in class to enable you to
achieve the highest mark possible. For Assignment Two, you need to collect data and analyse it
using the software packages provided: SPSS, NVivo or Mozdeh. For Assignment Two, you will need
to design an online survey or online interview and ask your classmates to answer the questions. We
will ask no questions about your data; we are more interested in how you analyse data and
interpret the computer outputs correctly. For the research methods, you will employ hypothetical
data, but you will use real data when completing the dissertation.
As a postgraduate student, you are free to devise your own structure (headings, subheadings, etc.),
using a format such as Sections 1, 2 and 3, etc. or Introduction, Methodology, Research
Questions, Conclusion.
Assignment One is a 1,050 word assignment. For this specific assignment the word count
excludes tables, figures, references, appendices, calculations etc. However, the word count is
a guide only; it will not be applied mechanically to determine your marking; please see the
above masters level marking criteria.

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