Category | Dissertation | Subject | Education |
---|---|---|---|
University | Leeds Beckett University | Module Title | Postgraduate Dissertation Module Handbook |
Word Count | 12,000 Words |
---|---|
Assessment Title | Module Handbook |
Academic Year | 2024-25 |
Submission |
Date |
Topic Selection/Submission |
Monday 11th to Friday 15th November 2024 by 2 pm |
Supervisor Allocation |
W/C Monday 9th December 2024 |
Draft Research Proposal Submission and Feedback |
By 16th February (As agreed with the supervisor) |
Research Proposal Submission and Research Ethics Applications |
Flexi-deadline from Monday 17th February 2025 to Friday, 28th February 2025, 2 pm |
Research Proposal Feedback |
w/c 24th March 2025 |
Resit/Defer Research Proposal |
Flexi-deadline - Monday 14th April 2025 to Friday 18th April 2025 at 2 pm |
Resit/Defer Proposal Feedback |
w/c 5 May 2025 |
Dissertation Submission |
Flexi-deadline Monday 15th September to Monday 22nd September 2025, 2pm |
Dissertation Feedback |
Post-Award Board |
Resit/Defer Dissertation |
Monday 26 January 2026, 2 pm |
Resit Dissertation Feedback |
Post-Award Board |
A dissertation is not an essay! Instead, the dissertation allows you to focus on a particular question(s), design a plan to explore the question(s) or theme(s) further and undertake an investigation (i.e., implement the plan) to answer the question(s). Your dissertation area provides you with an opportunity to be an independent researcher and enrich your expertise in the chosen area/theme.
There are different dissertation routes from which you can select a route appropriate or suitable for your discipline, research area, research aim, and research questions. These will be further discussed in the lecture, but these routes include:
1. Primary research: Primary research, often called field research, involves data collection activities undertaken by the investigator for the research under consideration. It focuses on collecting new data (i.e., data not already available or existing) by the investigator to answer research questions or confirm research hypotheses. This can be sub-classified into:
2. Secondary research: Within the context of your dissertation, secondary research is not a literature review. Secondary research, often called desk research, involves using (or collecting) already available/existing data that have been collected by others or the investigator for other purposes. This can be:
It's important to note that a literature review is a crucial part of your dissertation, regardless of whether you are conducting primary or secondary research. A literature review is not a standalone piece of work or a dissertation in its own right. Therefore, any form of literature review, such as a systematic literature review, bibliometric analysis, meta-analysis, scoping review, or state-of-the-art review, cannot be presented as a dissertation and is unacceptable in this module. This means that peer-reviewed journals or articles from Google Scholar (or other databases/sources) cannot be used as data for your dissertation.
1. They are independent research works
2. A supervisor will guide you
3. Have a larger word count than normal coursework. For this module, your proposal is 2000 words, and your dissertation is 10000 words. In total, your dissertation contains 12000 words, excluding references and appendices.
4. Involve commitment and dedication, including a significant amount of time and effort
5. Require critical thinking and reasoning
6. Require logical synthesis and interpretation of arguments from relevant and credible sources.
What a dissertation entails and how to approach it will be further explained during lectures and seminars. Your seminars involve many activities, such as selecting a research topic, designing the aim and objectives, conducting a literature review, selecting an appropriate research method, including data collection and analysis, writing critically, citing and referencing sources, presenting arguments coherently, and structuring the dissertation.
The dissertation is intended to build upon previously and recently acquired knowledge. This knowledge can come from your professional experience, undergraduate degree, and/or a previous/current MA or MSc programme. Reflecting the requirements of a Master's study, there is also a module emphasis upon the demonstration of methodological competence so that you can:
In addition to planning and doing the dissertation, the module contributes to your personal and professional development (PPD) through a review of your dissertation learning experience. These skills include:
You will be able to:
1. Apply knowledge and skills acquired throughout the dissertation process.
2. Identify clear research questions, assess what is an appropriate, manageable, and ethical research design for your dissertation topic, and formulate and execute a research strategy and design.
3. Consult appropriate academic sources, critically review and integrate relevant literature, and select and apply appropriate theoretical concepts as a basis for investigating your dissertation topic.
4. Evaluate various research methods and make and justify appropriate choices relating to data collection and analysis with appropriate ethical considerations.
5. Produce a Dissertation Learning Statement as a form of reflective research practice intended to instil a greater level of self-awareness about the nature and impact of your work on the module, to consider how your knowledge, skills and attributes were used and deployed on the module, and how this might link to future professional development.
It is your responsibility to search for relevant information to increase your knowledge by engaging with teaching notes and the literature around your dissertation topic. However, a dissertation Supervisor and a module Tutor will support you throughout the dissertation journey.
The Supervisor’s role is to:
Supervision is mapped onto the research/writing process with regular student-supervisor meetings, but you and your supervisor must agree upon when and how the meetings will occur. Online meetings will normally be through MS Teams; however, in-person, face-to-face meetings are encouraged. You should discuss this with your supervisor and set the expectations at the outset.
Generally, the supervision will enable you to ask questions, seek guidance and debate key issues. Make sure that you reach an understanding with your supervisor about the extent to which you can expect them to review and provide feedback on your written work within a realistic timeframe. For example, your supervisor may supervise other students with the same submission date as yours, so they may be unable to proofread an entire dissertation draft.
A research methods tutor (i.e., seminar tutor) will not act as your supervisor; however, the tutor’s role is to support and help equip you with the relevant skills to:
The dissertation is your work, not your supervisor’s idea, and you should not depend on your supervisor as the sole source of information. Your role as a PG Dissertation Student is as follows:
In carrying out the necessary research, thinking, writing, and presentation, you will be delving deeper into the subject material of your chosen programme of study and stretching yourself to produce an original piece of work. In some cases, the skills involved may be closely connected to those you use (and/or will use) in the workplace; employers may be interested in seeing your work because it can represent your full potential in the working environment.
You should not treat your dissertation module like other modules. You cannot approach your dissertation with the attitudes and approaches you adopted for other modules. Importantly, the module teaching and learning strategy will build upon your independent study and learning skills. Therefore, you are expected to take a high degree of responsibility for your learning and development.
Forms of Learning:
Teaching, both lectures and seminars, is currently being delivered in face-to-face settings. Therefore, you must engage with teaching materials on the module page on MyBeckett and other relevant documents your seminar tutor provides for each session.
Self-directed study:
The interactive approach to seminars relies on your preparation by reading the Module Learning Support Materials, available on the module page on MyBeckett. The seminar exercises and activities are designed to focus on your research area and dissertation topic, encourage reflection on the principles and theories of the research process, and form an essential and substantial component of your dissertation journey and learning experience.
Key Skill Development and Assessment Opportunities
Postgraduate Skills and Competences |
||
|
Opportunity to Develop |
Assessed |
Academic Skills |
||
Research Capability |
✓ |
✓ |
Critical Analysis and Evaluation |
✓ |
✓ |
Developing Coherent and Sustained Arguments |
✓ |
✓ |
Knowledge Management |
✓ |
✓ |
Accepted Standards of Written Presentation |
✓ |
✓ |
Ethical Emphasis |
✓ |
✓ |
Professional Development Skills |
||
Reflective Practice |
✓ |
✓ |
Organisation and Planning |
✓ |
✓ |
Self-Management |
✓ |
✓ |
Appropriate Selection and Use of Information |
✓ |
✓ |
Connectivity |
✓ |
✓ |
Ethical Emphasis |
✓ |
✓ |
Networking |
✓ |
|
Negotiating |
✓ |
|
Developing the above skills and competencies is crucial when undertaking dissertation research. They are also incredibly useful in the workplace, and you should seek to develop these with future employability in mind.
Your dissertation must be data-driven, using primary or secondary data. Primary data can be collected either face-to-face or online. While secondary data is mostly collected online, it will be prudent to consider designing your research study with online data collection approaches and methods in mind when using primary data collection.
Should online methods be chosen, it is important to ensure that primary data collection is and can be obtained using online platforms that the University approves. Knowing the platforms the University has approved for research purposes is important before arranging online interviews, focus groups, or questionnaires. When engaging with individuals regarding recruitment for your research study, you should inform all potential participants of the approved platforms, and they must agree to use them.
These decisions must be discussed with your supervisor and evidenced in the proposal and subsequent ethics applications. Your supervisor and the Local Research Ethics Coordinator (LREC) will return your ethics application if it fails to meet these requirements.
Here is a list of approved online methods and modes in which these can be applied:
|
Method |
Mode |
MS Teams – video or non-video |
Face-to-face 1-1 interviews or focus groups. |
Online |
Microsoft forms |
Questionnaire |
Online |
|
Email questionnaire – qualitative or quantitative or both. |
Email – Data Protection and GDPR need to be observed in acquiring participant emails |
Social media – Facebook, Twitter, LinkedIn etc |
MS Teams questionnaire – qualitative or quantitative or both. |
Online |
Telephone non-video |
Questionnaire – qualitative or quantitative or both and 1-1 interviews. |
Telephone |
Google Chat - ethics criteria permitting – authenticity, anonymity, |
Create an online private discussion room with specifically selected participants to generate |
Online |
credibility, open access/private |
primary data by asking specific research-focused questions. |
|
Google Blogger - ethics |
Create an online private Blog with |
Online |
criteria permitting - |
specifically selected participants to |
|
authenticity, anonymity, |
generate primary data by asking |
|
credibility, open |
specific research-focused |
|
access/private |
questions. |
|
All methods and modes must be approved by supervisors and appropriately justified in your report (i.e., proposal and dissertation).
When writing a dissertation, you must provide evidence in the appendices section of all the methods used and the modes in which they were applied.
A proforma relating to this information is in the Dissertation Structure Document and must be submitted with the final dissertation as an appendix.
Further, you will need to provide the data (primary or secondary) you collected and used for your dissertation. The data (primary or secondary) must be made available and included in the appendices section. Also, a separate submission folder will be available to deposit the data in MS Word documents, MS Excel, or PDFs, depending on the data type. All data samples provided must have the dates of when the data was collected, and any personal information that could identify participants should be removed. This information also needs to be detailed on the proforma
Week/Topic |
Overview |
Key Reading |
Directed study and additional resources |
Week 1 (w/c 7 October 2024) Introduction to the Dissertation |
The first lecture and seminar outline the module expectations, including the dissertation module delivery and ethical research practice. The module's learning outcomes will be set out, what you can expect from your Research Methods Tutors and Dissertation Supervisor as well as your responsibilities as a student undertaking the Module as part of your postgraduate programme of study. |
See Chapters 1 and 3 in Saunders and Lewis (2019) See Cottrell (2014) Dissertation & Project Reports - Stella Cottrell |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 2 (w/c 14 October 2024) Topic Selection/Literature Searching |
This seminar requires you to undertake some pre-research work before the workshop commences. This is an action- learning workshop where your dissertation topic is considered individually in class and involves live literature searching. You will be expected to share any subject-specific issues in topic selection, using search terms which prove difficult and relevant journals. This workshop is particularly participatory; you will generate the content with your seminar tutor's guidance. |
See Chapter 2, 4 and 5 in Saunders and Lewis (2019) Library Video - Searching for Sources |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 3 (w/c 21 October 2024) Literature Review and Synthesis |
In this seminar, you will understand the literature review, why it is undertaken, its value, how we synthesise the works of multiple authors, and its theoretical relation and application to your dissertation research. You will select relevant journal articles specific to the selected topic in Week 2 and apply criteria to critically evaluate its contents and determine its suitability from multiple perspectives. |
See Chapter 3 in Saunders, Lewis and Thornhill (2019) Chapters 5 & 6 in Chris Hart (2013) Doing your Masters Dissertation - Chris Hart |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 4 (w/c 28 October 2024) Crafting Research Questions, Objectives and Understanding the Development of the Proposal |
This seminar enables the consideration of developing a research question and what constitutes a suitable question in relation to the selected research topic (Week 2) and assumptions from the literature (Week 3). Developing the research objectives will follow an evaluation of individual assumptions to link the objectives to the research question. This topic will introduce and provide an overview of the requirements of the research proposal in the form of a proposal template. |
See Chapter 2, 3, 4 and 5 in Saunders and Lewis (2019) See Chapter 1, 2 and 4 in Easterby_Smith, Thorpe, Jackson & Jaspersen Easterby_Smith et al |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 5 (w/c 4 November 2024) Research Philosophy & Research Design |
This week, the importance of research philosophy is discussed. Understanding philosophical positions in research is important in understanding how individuals make sense of their social reality and knowledge. As a researcher, it is important to understand your view and bias, including how you make sense of your own social reality and knowledge, as this may affect your research paradigm. After this workshop, it is useful to consider the remaining workshops in the context of your thoughts regarding your dissertation topic and philosophical position. This will contribute to the writing of the proposal and the selection of research methods. |
See Chapter 1, 2 & 3 in Crotty (1998) |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 6 (w/c 11 November 2024) Introduction to Research Methods |
The focus of this seminar will be on understanding the meaning of ‘research methods’, various types of research methods, and their importance when undertaking research. Also, you will learn how to design your research, what informs the selection of research methods, and data collection methods specific to each research method. The topic will introduce you to secondary and primary research, including when and how to conduct secondary and primary research. |
See Chapter 5 in Saunders, Lewis and Thornhill (2019) |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 7 (w/c 18 November 2024) Introduction to Quantitative Research Methods (1) – design, populations, samples, modes and ethics |
This seminar will equip you with an understanding of the underlying principles of quantitative research and the key quantitative data generation methods currently used in business and management research. An overview of population, samples, sampling method, modes of data collection and research ethics. |
See Chapters 6 and 7 in Saunders and Lewis (2019) See Chapters 8, 9 and 10 in Saunders, Lewis and Thornhill (2019) |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 8 (w/c 25 November 2024) Understanding Research Ethics & Approval |
This seminar will focus on understanding what ‘Research Ethics’ means and its importance when undertaking research. It will provide information and guidance on the University ethics online system and how to submit an ethics application for approval. This seminar will also examine the online ethics application system and assist in starting to build an ethics application in real-time. Please bring your laptop to ensure you can access the ethics application portal. |
See Chapters 2,3, 4, 5 and 13 in Saunders, Lewis and Thornhill (2019) See Oliver, Part 1 and Part 2 Student's Guide to Research Ethics - Paul Oliver |
Additional material/resources will be available at the seminar session and on MyBeckett. |
Christmas Break |
|||
Week 9 (w/c 27 January 2025) Introduction to Quantitative Research Methods (2) – access to respondents, data collection and analysis |
This seminar will equip you with an understanding of the key access issues related to gaining access to an actual sample from a relevant population and ensuring the questionnaire is accessible (i.e., saliency and technology) to respondents to aid a higher response rate. Issues of data collection (primary and secondary) relating to ethics are addressed, including different types of analysis. |
See Chapters 6 and 7 in Saunders and Lewis (2019) See Chapters 8, 9 and 10 in Saunders, Lewis and Thornhill (2019) |
|
Week 10 (w/c 3 February 2025) Introduction to Qualitative Research Methods (1) – semi- structured and unstructured interview techniques and application modes. |
This seminar will equip you with an understanding of the underlying principles of qualitative research and the key qualitative data (primary and secondary) generation methods currently used in business and management research. It will provide an overview of the semi-structured and unstructured methods and the various ways to collect primary data. In addition, assessing good and bad interview techniques will be explored through video. Finally, populations and samples will be discussed in the context of qualitative methods. Also, an approach to secondary qualitative data collection will be introduced. |
See Chapters 6 and 7 in Saunders and Lewis (2019) See Chapters 8, 9 and 10 in Saunders, Lewis and Thornhill (2019) |
Additional material/resources will be available at the seminar session and on MyBeckett |
Week 11 (w/c 10 February 2025) Introduction to Qualitative Research Methods (2) – qualitative focus group technique and data analysis. |
This seminar will equip you with an understanding of the qualitative focus group method and the issues involved in such a method. The analysis of qualitative data is then discussed, considering predominantly thematic analysis. |
See Chapters 6 and 7 in Saunders and Lewis (2019) See Chapters 8, 9 and 10 in Saunders, Lewis and Thornhill (2019) |
|
Week 12 (w/c 17 February 2025) Getting the Dissertation Together, Structure, Layout |
This final topic will examine how the dissertation is pulled together, its structure and presentation of arguments, different chapters, and how these are laid out. |
|
Additional material/resources will be available at the seminar session and on MyBeckett. |
Key Resources are noted at the top of the reading list below and are available via e- books. Links for e-books are available; you can visit the ‘Reading List’ section here, Dissertation Module Reading List, or on the Navigation Pane of the Dissertation Module Page.
You should selectively read relevant content for an introductory insight into Research Methods at the Postgraduate level.
Your seminar tutor will provide formative feedback on your topic during seminars. It is, therefore, important for you to engage and participate in all seminar activities to ensure constructive feedback on your topic. Also, your supervisor will provide formative Feedback on your research topic. It is, therefore, essential for you to submit your proposed dissertation topic on time to guarantee the supervisor’s support. The aim is to allocate all supervisors by w/c Monday, 9th December 2024, before proposals are due.
Please submit your Topic Selection by w/c 11th November 2024.
Assessment Method: |
Weighting: |
Assessment Date: |
Feedback Method: |
Feedback Date: |
1. Dissertation Proposal (2,000 words +/-10%) |
20% |
Flexi-deadline from Monday 17th February 2025 to Friday 28th February 2025, 2 pm |
Via MyBeckett/ email |
w/c 24th March 2025 |
2. Dissertation Thesis (10,000 words +/- 10% = 9,500 words for dissertation + 500 words for a learning statement) |
80% |
Flexi-deadline Monday 15th September to Monday 22nd September 2025, 2pm |
Via MyBeckett/ email |
Released after the appropriate module boards in November. |
Reassessment Method: |
Weighting: |
Assessment Date: |
Feedback Method: |
Feedback Date: |
1. RESIT Dissertation Proposal (2,000 words +/-10%) |
20% |
Flexi-deadline - Monday 14th April 2025 to Friday 18th April 2025 at 2 pm |
Via MyBeckett/ email |
w/c 5th May 2024 |
2. Resit Dissertation Thesis (10,000 words +/- 10% = 9,500 words for dissertation + 500 words for a learning statement) |
80% |
Monday 26 January 2026 |
Via email |
Released after the appropriate module boards in March. |
Students must submit the dissertation proposal and dissertation (full report) as part of the module assessment requirements.
The Module assessment has two components – a Proposal and a Dissertation. Please note that you must complete and submit both assessments to pass the module.
The research proposal serves an important role in shaping your dissertation research. The research proposal allows you to identify a clear and researchable topic for your dissertation. In the research proposal, we ask you to review the relevant academic literature, assess a suitable, manageable, and ethical research design for your dissertation topic, and develop and implement a written plan to undertake the research.
Module Title |
Postgraduate dissertation |
Assessment Title |
Dissertation proposal |
Individual/Group |
Individual |
Weighting |
20% |
Learning Outcomes Assessed |
LO1 Identify clear research questions, assess what is an appropriate, manageable, and ethical research design for a particular dissertation topic, and formulate and execute a written plan to the chosen business and management discipline/programme of study. LO2 Consult appropriate academic sources, critically review and integrate relevant literature(s), and to select appropriate theoretical concepts and/or conceptual framework as a basis to investigate their particular area of interest. LO3 Evaluate various research methods and to make and justify appropriate choices relating to data collection and analysis with appropriate ethical considerations. |
The dissertation allows you to apply the techniques and theories you have learned during the taught modules in your course, encouraging you to develop high levels of analysis and critical evaluation. The dissertation normally includes empirical work involving qualitative or quantitative research.
Module Title |
Postgraduate dissertation |
Assessment Title |
Dissertation |
Individual/Group |
Individual |
Weighting |
80% |
Learning Outcomes Assessed |
L04 Demonstrate a systematic understanding of knowledge and critical thought at the forefront of business and management scholarship by identifying, analysing and synthesising primary and secondary research material relevant to the chosen area of enquiry. LO5 Produce a Dissertation Learning Statement as a form of reflective practice intended to instil a greater level of self- awareness about the nature and impact of their work on the module, to consider how their knowledge, skills and attributes were used and deployed on the module, and how this might link to future professional development. LO6 Through the submission of a dissertation, demonstrate originality in the independent use of knowledge and the application of theory to practice. |
Suppose a resit submission is required for either the proposal or dissertation assessment. In that case, the requirements to pass at the resit stage relate to ‘making good’ the assessment by clearly following any feedback from the supervisor and second markers. Feedback may be given via MyBeckett, email, or in person (virtually). However, should a student not be clear about any aspect of their feedback to make good, clarification should be sought directly from the supervisor and promptly. Students should pay particular attention to the resit submission dates published for the assessment, which requires a resit. Resit assessment submission dates are published in the h andbook and on the relevant MyBeckett module page.
Resits related to academic integrity, such as cheating, collusion, plagiarism, or self-plagiarism, may require a different approach to submitting an assessment. The approach will depend on the academic integrity hearings and the severity of the case. Information relating to academic integrity is detailed on page 20.
Should a student need to defer submitting their proposal or dissertation, this should be initially discussed with the supervisor. If it is agreed that a deferral is necessary, the student must contact the Postgraduate Admin Office in person at Rose Bowl 515 or via businessadminpg@leedsbeckett.ac.uk to request the appropriate application form.
Get the Solution of this Dissertation
Order Non-Plagiarized DissertationThis module requires you to submit your Dissertation Proposal online only.
You MUST submit your work through MyBeckett using the Turnitin link set up by the Module Leader. Receipt of your work will be recorded.
The set-up of "Turnitin assignments" in MyBeckett allows you to check and review your assignment as you submit it. This checking is done by creating an "Originality Report". If this report shows problems with your work, such as un-cited quotations, you should make corrections and re-submit the work before the due date. However, the Turnitin box is set up to allow 3 submissions to check your originality report - 2 drafts and 1 final submission. The 3rd and final submission is only permitted on the last day of submission i.e. the deadline. As such, please do not submit a draft on the final day, this must be your final version, as we cannot accept your final version via another format.
Please note: Tutors will follow up on any suspected plagiarism and unfair practice found after the submission date, as per University policy. Late penalties will apply, as per University regulations.
This module requires you to submit your Dissertation Thesis online only.
You MUST submit your work through MyBeckett using Turnitin the link set up by the tutor. Receipt of your work will be recorded.
Your "Turnitin assignments" in MyBeckett are set up so you can check your assignment as you submit it. This checking is done by creating an "Originality Report". If this report shows some problems with your work, such as un-cited quotations, you should be able to make corrections and re-submit the work before the due date. However, the Turnitin box is set up to allow 3 submissions to check your originality report - 2 drafts and 1 final submission. The 3rd and final submission is only permitted on the last day of submission i.e. the deadline. As such, please do not submit a draft on the final day, this must be your final version, as we cannot accept your final version via another format.
Please note: Tutors will follow up on any suspected plagiarism and unfair practice found after the submission date, as per University policy. Late penalties will apply, as per University regulations.
Formative assessments give tutors an indication of your progress and indicate to students the standards of work expected. A formal mark is not recorded for formative assessments, but you will be given feedback on the quality of your work throughout the module.
Formative feedback will be provided by research methods component tutors over the workshop teaching period.
Supervisors will also provide formative feedback via face-to-face (in-person or online) meetings or email communications (depending on the mutual arrangements between students and supervisors). Hence, you need to submit your proposed topic on time to guarantee the support of supervisors.
Your supervisor will provide summative feedback via email or the MyBeckett.
Supervisors will provide formative feedback via face-to-face (in-person or online) meetings or email communications (depending on the mutual arrangements between students and supervisors).
Your supervisor will provide summative feedback via email or the MyBeckett.
A mid-module review will be timetabled for your module according to Topic 6. This is an opportunity to iron out modular issues rapidly early in the module. In addition, you will have the opportunity to feedback formally at the end of your module. These comments will be reviewed by your course director and course team, and some may be considered at your annual course enhancement meeting. Your student representative will attend this meeting and take your views into discussion.
When submitting the research proposal, students must complete an online Ethics Application related to their research strategy and design. As a result, it is important that you work on the ethics application in conjunction with developing the proposal. You must receive University Ethics Approval before collecting any data (primary or secondary) for your research. Final dissertations which do not evidence this cannot be marked. Hence, it is important for you to be aware of and understand our ethics procedures and policy. Please ensure you read and familiarise yourself with these policy documents.
The University operates an online research ethical approval process, and we advise you to familiarise yourself with it before applying.
Guidance on how to use the online system can be accessed here
Until the ethics form has been approved, you cannot commence fieldwork/data collection, whether primary or secondary. This process is designed to protect you as a researcher and the participants in your study. You should seek guidance from your supervisor to ensure that your proposed methodologies are appropriate for a postgraduate project. Your proposed study should not create unnecessary ethical concerns. It should, therefore, be able to be approved at a local level without a full submission to the School Research Ethics Committee.
Please retain a copy of your approved ethics form/confirmation email, as you must submit this with your final dissertation. Should work that does not have ethical approval (or evidence of ethical approval) be submitted, then the submission will NOT be marked. You will be deemed to have failed that submission. You will fail the dissertation part of the module and be asked to resubmit (subject to the provision of section C of the University Academic Principles and Regulations in respect of Progression and Award).
Your Dissertation Research Methods Tutor and Supervisor will provide further information about the Ethics Application Process.
Attendance at research methods (RM) classes is essential. Every effort should be made to attend every seminar/workshop. Missing one class can hurt your learning and the research journey. It is important to attend the full schedule of topics as possible to develop the knowledge required to understand the dissertation process, to work towards developing a researchable topic, selecting, and justifying appropriate methodologies and methods, all of which must be appropriately articulated in a research proposal.
Lack of class attendance can result in a significant and unnecessary demand for the supervisor to adopt the role of RM tutor and supervisor. This is because students who do not attend RM classes do not acquire the knowledge to make informed decisions to develop a research proposal. The supervisor’s role is to advise and guide the student’s choices and decisions for the dissertation in the context of the subject area, not to become the RM tutor and be expected to hold mini one-on-one tutorials on topics that have been covered in classes. Should this happen, a supervisor may ask a student to reconvene a supervisory meeting once they have undertaken independent learning and reading on the areas lacking knowledge. Supervisory meetings should be productive discussions about the subject area the student wishes to research, and it is the responsibility of the student to consider appropriate research strategies, methodologies, and research designs in the context of their research topic, knowledge of which is gained at RM classes.
In addition to attendance, an important piece of information relates to achieving a pass mark of 50% for the research proposal. Indeed, there is a correlation between attendance and passing this assessment component. If a mark of less than 50% is achieved for the research proposal, this may have potential consequences in failing to pass the dissertation module. This could be a potential scenario if the mark of the dissertation is 50% and the proposal is less than 50%, specifically 47% or less. This would not add up to a final overall grade of 50%, the mark necessary to pass the module.
If the research proposal achieves a mark below 50%, the final dissertation mark must be more than 50% to pass the dissertation module successfully.
An example is detailed below based on the weighted components of 20% for the proposal and 80% for the dissertation:
Proposal mark awarded is 47% = 20% of 47 = 9.4
Dissertation mark awarded is 50% = 80% of 50 = 40
Proposal + Dissertation = 9.4 + 40 = 49.4%
A mark of 49.4% would not be rounded up to 50% because the overall mark comprises two separate components: 20% for the proposal and 80% for the dissertation. As such, this would be a failed module.
Therefore, all students are urged to consider this potential situation carefully and remember that the amount of work required to complete both the proposal and dissertation is significant and should not be underestimated.
A supervisor will be allocated 9 hours of supervision. It is highly recommended that all these hours be utilised appropriately in the supervisory process. These hours should be accessed with the expectations of the student-supervisor relationship, as detailed on pages 4-5.
The approach to collecting primary data can be flexible. This means that the planned mode of data collection might need to be changed to an alternative format, even at short notice , depending on participants’ requirements. Therefore, if primary data has been proposed, you may reconsider the approach and adopt secondary data depending on the situation. Similarly, if a one-to-one interview is arranged in a face-to-face mode (Risk Assessment approval permitting) and circumstances mean the mode needs to be changed to online, whether these are due to many factors or at the request of the participant(s), the student must be prepared to make alternative arrangements. Therefore, knowing the different ways to collect data is very important.
Examples of the University approved online modes for collecting primary and secondary data are:
The above methods must be discussed with supervisors when developing the proposal.
All data (primary or secondary) collected, whether quantitative or qualitative, must be evidenced in the dissertation by detailing all the data obtained, by which methods and from which sources. Further, evidence that the data exists must also be included, and details of the format in which the data is available must be provided. A form is available in Appendix 7, which must be included in the appendix of the dissertation. Please note that you must submit the data used for your dissertation in a dedicated submission folder on MyBeckett. The data file (in MS Excel, Word Document, or PDF) must be submitted simultaneously when you submit your dissertation.
Note: Please be aware that peer-reviewed (scholarly) articles do not count as secondary data, and you cannot conduct a literature review as a dissertation. A literature review should be part of your dissertation (usually Chapter 2 of your dissertation) and should not be the focus of your dissertation.
The Dissertation module assessment comprises two components - the research proposal and the Dissertation. Both assessments must be attempted (and passed) for you to pass the module. The research proposal is essential for completing the Dissertation successfully.
If you are experiencing problems adversely affecting your ability to study (called 'extenuating circumstances'), you can apply for mitigation.
The University operates a fit-to-sit / fit-to-submit approach to extenuating circumstances, which means students who take their assessments declare themselves fit to do so.
It is your responsibility to submit the assessments by the submission due date. Failure to submit the assessments by the assessment submission ‘windows’ without good cause will be penalised, as detailed below.
Note: “Days” include weekdays and vacations but exclude weekends, bank holidays, and other days when the University or designated collaborative institution is closed. A day is 24 hours (e.g., if a submission deadline is 4.00 pm on a Tuesday, and any work submitted from 4.01 pm on Tuesday until 4.00 pm on Wednesday would be considered one day late). Also, note that cases of persistent late submission will be brought to the attention of the Progression and Award Board or Module Board by the Module Leader.
Its format should be as follows:
The sections of the dissertation should conform to the following, in the identified sequence:
Student Name: |
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Name of First Marker: |
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Student ID: |
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Name of Second Marker: |
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Module: |
Dissertation |
Component/Weighting |
Research Proposal |
20% |
Agreed Mark and Overall Feedback NB: The final grade is not an average mark for each section/chapter. The matrix below is only a guide to the strength of each area of the Proposal. |
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The following sections provide a breakdown of how your final mark has been determined. This includes an indication, (highlighted in yellow) as to the level your work was at relating to different sections of the assessment and measured against the requirements to achieve spec ific grade boundaries. It also includes feedback from the first and second makers.
PG Dissertation Proposal Marking Grid |
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Fail 0-29 |
Fail 30-39 |
Marginal Fail 40-49 |
Pass 50-59 |
Merit 60-69 |
Distinction 70-79 |
High Distinction 80-100 |
Understanding of Context
25% |
No meaningful context or research objectives provided. |
Flawed attempt to problematise proposed topic with very little commercial and/or research awareness and academic grounding. Research objectives incoherent and not appropriate for a dissertation |
Limited attempt to problematise proposed topic with limited commercial and/or research awareness and academic grounding. Research objectives provided but mostly flawed with limited connection to question |
Some attempt to problematise proposed topic. Some commercial and/or research awareness demonstrated. Some academic grounding but lacks clarity. Research objectives offer some resemblance to the topic but lack focus and consistency. |
Good. Proposed topic is problematised, relevant and demonstrates commercial and/or research awareness. Academic grounding mostly clear. Research objectives are for the most part, clear and relevant to the title with minor flaws in reasoning. |
Excellent. Detailed problematisation, insightful topic that demonstrates commercial and/or research awareness and has a clear grounding . Research objectives are clearly expressed and fully relevant to the title. |
Outstanding. Robust problematisation, insightful topic that demonstrates commercial and/or research awareness and thoroughly grounded in academic conventions. Research objectives are clear, logical and consistent |
Review of Key Literature
40% |
Little to no meaningful literature presented. Sources, which are presented, are not credible academic peer- reviewed sources and bear little (if any) relevance to the topic. |
Review of key literature is flawed, with very little relevance to the proposed title and objectives. Very limited number of relevant academic peer-reviewed sources. Possible clear over-reliance on non- academic sources. |
Flawed attempt at reviewing key literature, which is not sufficiently linked to the proposed dissertation title. Over-reliance on poor quality non- peer-reviewed title and/or limited number of academic peer-reviewed material. |
Some knowledge and understanding of key issues related to the proposal but this is limited by a narrow range of reading which contains some academic sources but also some poor-quality sources that are not peer- reviewed. |
Review of key literature represents good knowledge and understanding of key issues related to the proposal with a wide range of reading using mostly appropriate peer-reviewed academic sources. |
Excellent. Review of key literature represents a thorough early grasp of topic and understanding of key issues related to the proposal with an extensive range of reading utilising peer-reviewed academic sources. |
Outstanding. Review of key literature represents a comprehensive early grasp of topic and understanding of key issues related to the proposal with a comprehensive range of reading using peer- reviewed academic sources. |
Proposed Method
25% |
Proposed methodology is absent or deeply flawed in all required areas. No attempt to link to project |
Proposed methodology is flawed in all areas, with very little attempt to contextualise content to proposed project. |
Proposed methodology contains minimal resemblance but mostly flawed. Limited attempt at contextualisation. |
Proposed methodology is adequate but some areas flawed. Relevant philosophy presented but understanding often lacking. Some justification for proposed data collection and sampling method |
Good understanding of underpinning philosophy and approach is relevant to the proposed piece. Data collection and sampling strategy well justified but minor flaws in argument. |
Excellent Underpinning philosophy and approach is clearly articulated and relevant to the proposed piece. Data collection and sampling strategy well justified. |
Outstanding. Underpinning philosophy and approach is exceptionally articulated and relevant to the proposed piece. Data collection and |
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but argument contains flaws. |
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sampling strategy thoroughly justified. |
Ethical and Practical Issues
10% |
No meaningful ethical issues identified |
Flawed understanding of the ethical and practical issues relevant to the proposed piece demonstrated. Issues presented bear little resemblance to the proposed project |
Partial but mostly flawed understanding of the ethical and practical issues relevant to the proposed piece demonstrated |
Adequate understanding of the ethical and practical issues relevant to the proposed piece demonstrated with some flaws |
Good understanding of the ethical and practical issues relevant to the proposed piece demonstrated |
Excellent. Very clear understanding of the ethical and practical issues relevant to the proposed piece demonstrated |
Outstanding. Thorough understanding of the ethical and practical issues relevant to the proposed piece demonstrated |
Assessment 2 Descriptor: Final Dissertation (80% of the module mark) |
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Student Name: |
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Name of First Marker: |
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Student ID: |
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Name of Second Marker: |
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Module: |
Dissertation |
Component/Weighting |
Final Dissertation |
80% |
Agreed Mark and Overall Feedback NB: The final grade is not an average mark for each section/chapter. The matrix below is only a guide to the strength of each area of the Proposal. |
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The following sections provide a breakdown of how your final mark has been determined. This includes an indication, (highlighted in yellow) as to the level your work was at relating to different sections of the assessment and measured against the requirements to achieve spec ific grade boundaries. It also includes feedback from the first and second makers.
PG Dissertation Marking Grid |
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100-85 High Distinction |
84-70 Distinction |
69-60 Merit |
59-50 Pass |
49-40 Marginal Fail |
39-30 Fail |
29-0 Fail |
Introduction (10%) |
Outstanding. Very |
Excellent. Very |
Good. Clearly |
Adequately |
Attempt at |
Incoherently |
Research problem, aim, |
A thorough, concise, |
clearly formulated |
clearly formulated |
formulated research |
formulated research |
formulating research |
formulated research |
and objectives |
in-depth overview of |
research problem, |
research problem, |
problem, aim, and |
problem with some |
problem and |
problem and |
missing/completely |
the background of |
aim, and objectives. |
aim, and objectives. |
objectives. Evidence |
evidence of subject |
objectives but some |
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misunderstood. |
the study under investigation and the context in which it is positioned – organisation or society. Articulated & critiqued research argument connected to background and context using relevant sources from scholarly and/or business journals to underpin the argument. The significance of the research is discussed and connects to the problematisation. One single, clear, and specific research question to be stated including 4 or 5 research objectives. There must be a clear connection between the research question and the objectives, which must be linked to the research argument. |
Clear subject-based focus. Excellent and convincing rationale. Robust in all areas |
Clear subject-based focus. Excellent and convincing rationale. |
of subject-based focus. Clear and well thought through rationale with only minor flaws and inconsistencies. |
focus. Competent rationale is provided but flawed in some areas. |
significant flaws present. Lacks subject focus. Rationale poorly articulated and justified. |
objectives. Inadequate rationale. |
Rationale inadequate/missing |
Literature review (25%) The literature review must demonstrate evidence of key and supporting authors in the field of research, with sources being from scholarly |
Outstanding. Extensive but focused review of existing academic literature and relevant theory.
Comprehensive literature search with information |
Excellent. Extensive but focused review of existing academic literature and theory.
The review is well- organised, thorough, and critical throughout, |
Good. Review and evaluation systematic and to the point, clearly related to the identified research problem and aim.
Meaningful critical analysis offered but |
Adequate and mostly appropriate reading with some limited critique and critical reasoning, demonstrating a useful, though incomplete knowledge of the chosen area and |
Inadequate. Reliance on basic sources and/or descriptive review. A ‘shopping list’ approach to reviewing the literature.
Weak relationship to the identified |
Over-reliance on a restricted range of academic sources or insufficient sources. Not related directly to the research aim and question. Very little or no evidence of critical thinking. Limits of |
Review inadequate in all areas. Range of academic sources is very restricted. No evidence of critical thinking. Unable to inform research design at any level. |
journals (i.e., peer- reviewed articles). Articles must not be more than 10 years old (i.e., from 2014 to 2025). Evidence of critical analysis and knowledge synthesis (for and against authors) and critique of authors cited. A good structure to be evidenced with headings and sub- headings demonstrating the themes being discussed, in a logical order. |
collated from multiple relevant academic and research-based sources. Excellent critical analysis of the literature, demonstrating a rigorous debate of key issues.
The review is very well-organised, thorough, and critical throughout, with a logical and cohesive structure and explicitly related to the identified research problem and aim. The review leads to insightful conclusions and clearly informs the direction of the dissertation. |
with a logical and cohesive structure and explicitly related to the identified research problem and aim. The review leads to informed conclusions and clearly informs research for the present study. |
potential to develop further.
Evident that the review has informed the research for the present study. |
potentially some use of inappropriate sources.
Veers towards description. Lacks consistent relevance to the identified research problem and aim. Some evidence of informing the research for the present study. |
research problem and aim. Limited evidence of informing research for the present study. |
work are such that it is not able to inform the research for the present study. |
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Methodology (20%) A clear understanding of philosophical, theoretical and methodological approaches with an awareness of strengths and weaknesses for choices. Solid justifications must be provided for |
Outstanding. Very clear appreciation and understanding of research design, philosophies, principles, and issues, and specifically applied to study in hand. Insightful and robust rationale for research design. Systematic and |
Excellent. Very clear appreciation of research design, philosophies, principles, and issues, and specifically applied to study in hand. Extensive rationale for research design. Systematic and appropriate information |
Good. Clear appreciation of relevant research principles. Clearly presented rationale for research design. Competent application of methodology and data collection and analysis methods. |
Adequate. Familiarity with key research principles demonstrated. Competent rationale for research design adopted, but only partial success when put into practice. Some awareness of strengths and weaknesses of the |
Inadequate and limited awareness of research principles. Defensible rationale presented for research design but clear, notable errors. Limited success when put into practice. Limited awareness of strengths and |
Inadequate awareness of research principles. Rationale presented is not defensible. Poor data collection and/or analysis but enough information gathered to allow for findings to be reworked to a passable standard. Little awareness of |
No awareness of relevant research principles. Research design missing/completely indefensible. Data collected is not robust enough to support a meaningful findings chapter. Repeat of the process is needed. |
the choice of research approach (e.g., post-positivist or interpretivist) and data collection method. Solid justifications must be provided for the choice of methods that link back to the philosophical, theoretical, and methodological choices. Relationships must be evidenced. Clear, transparent discussion required detailing approaches to collecting data and solid justifications provided for those choices. Discussion must include clear details on the data collection process (such as data type, data sources, populations, sample sizes, sampling method, mode of recruitment and distribution of research instruments, response rates (if applicable) and |
appropriate information gathering successfully operationalised. Full awareness of strengths and weaknesses of the approach.
Ethical and practical issues clearly considered and discussed in the context of the proposed research. |
gathering successfully operationalised. Strong awareness of strengths and weaknesses of the approach.
Ethical and practical issues clearly considered and discussed in the context of the proposed research. |
Awareness of the main strengths and weaknesses of the approach, but some details omitted.
Ethical and practical issues relevant to research discussed with a clear attempt at contextualising in the context of the proposed research. |
approach but key details omitted.
Ethical and practical issues discussed but may be overly generic and not adequately contextualised. |
weaknesses of approach.
Some ethical issues presented but largely generic, and little effort to contextualise. |
the strengths and weaknesses of the approach.
Ethical issues presented are generic, with minimal effort to contextualise. |
Ethics missing or wholly irrelevant. |
reasons for low response rates). A clear and detailed discussion must be provided on specific ethical considerations of risk for the research. This must be contextualised and discuss specific methods and not generalised. |
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Analysis and Discussion of Findings (20%)
Choice of methods or approaches for data analysis to be articulated and be specific to quantitative or qualitative data, or a combination. The analysis must be consistent and appropriate for the collected data and align with the data collection approaches discussed in the Methodology chapter. The discussion of results and findings must be underpinned by the chosen theories applied in the |
Outstanding. Very excellent analytical method and consistent with the data type. Very high level of critical analysis fully supported by robust evidence from the literature.
Outstanding synthesis and development of research findings. |
Excellent. High level of critical analysis supported by extensive evidence.
Excellent synthesis and development of research findings. |
Good. Key findings clearly examined and appraised, supported by logical evidence. Very good synthesis and development of research findings. |
Adequate. Findings presented but sometimes superficial. Synthesis and discussion between data, findings, and academic literature but not consistent/thorough throughout. |
Inadequate. Analysis limited by superficial data collection/findings not developed as well as they could be but can be reworked to a passable standard without the need to collect further data.
Only partial synthesis and discussion with existing research. |
Data collection is weak and not support the findings. More data needed to enable a reworking to a passable standard.
Very limited synthesis and discussion with existing research. The results and significance of the research are insufficiently discussed with very limited criticality and do not underpin the conclusions drawn. |
Data collection and findings not substantial enough to support a postgraduate dissertation. More data needed.
Little/no synthesis and discussion with existing research. |
research and discussed throughout the literature review. References from the literature review must be weaved into the discussions in the form of citations and links to the final bibliography. Logical discussions of the collected data evidence the relationship of the research concepts and support the main research question. |
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Conclusion and Recommendations (10%)
The conclusion must reflect the research undertaken and no new data or evidence should be offered here. The use of citations should be used where appropriate to critically support any recommendations. |
Outstanding. Conclusions are insightful, logically derived and well- organised. Substantial contribution to knowledge and clear awareness of potential areas for further investigation. Rigorous awareness of credibility issues demonstrated. |
Excellent. Conclusions logically derived and well organised. Clear contribution to knowledge and clear awareness of potential areas for further investigation. Awareness of a range of credibility issues demonstrated. |
Good. Logical conclusions emerge from the findings, but more rigour needed reinforcing these. Awareness of contribution to knowledge and need for further investigation demonstrated. Awareness of main credibility issues demonstrated. |
Adequate. Conclusions more obvious than insightful. Contribution present but lacks originality. Some awareness of credibility issues. |
Inadequate. Limited conclusions and recommendations. Limited contribution to knowledge. Poor awareness of credibility issues |
Conclusions and/or recommendations not justified by data collected.
Mistaken views about the value of work undertaken. Inadequate awareness of credibility issues. |
Conclusions and/or recommendations omitted/misinterpreted.
No awareness of credibility issues or contribution. |
Presentation and Expression (10%)
The report must be professionally structured using |
Outstanding. The dissertation is fluent and contains mature use of language. Beautifully presented |
Excellent. Well- presented and very clear use of language. Fluent throughout and mature use of |
Good. well- presented and clear use of language throughout. Appropriately referenced with |
Adequate. Clear use of language but with some persistent errors. |
Document only partially complete and does not adhere to the prescribed format. Some components missing |
Minimal attempt at referencing, poorly presented and very unclear language with serious errors throughout. |
Incoherent. Makes no attempt to conform to the prescribed format. Serious and substantial language issues. |
formal texts/words. The arguments must be logically synthesised for clarity. All charts/tables used must be relevant, explained, and integrated into the discussion. Key claims and arguments must be appropriately cited using the recommended citation style. All in- text sources must be presented in the reference list. |
throughout. Appropriately referenced with minimal errors. In-text citations and reference citations are consistently correct and in the recommended format. |
language. Appropriately referenced with very few errors. In-text citations and reference citations are correct and in the recommended format. |
some (mostly minor) errors. In-text citations and reference citations are mostly correct and in the recommended format. |
Generally, well referenced but some persistent errors are evident throughout. |
Quality of presentation lacks professionalism. Language unclear in several places.
Attempt at Harvard referencing in places, but serious deficiencies persist. |
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Harvard referencing absent. |
Learning Statement (5%) Discussion of learning achieved. Views and feelings towards the dissertation, the dissertation process, and the overall project. Practical and/or ethical Issues/problems encountered and how resolved. Reasoned perception of the present and future value of the dissertation |
Exceptionally well- ordered reflection that contextualises the learning not only for the learner but also the broader academic field. Views and Feelings coherently reflected upon with consistency and relation to the project. A deep insight and broader awareness of the project context is present. An exceptional and detailed overview of the issues with a comprehensive analysis and |
Excellently structured and discussed reflection on the learning achieved including the specific skills, knowledge and cognitive processes associated with the project. Reflection and analysis of the prescribed elements are consistently personalised, demonstrate independent thinking and express extensive meaningful insights. An excellent overview of the |
Well-argued reflection on the learning achieved including contextualisation. Analysis of the prescribed elements includes personalisation, explanation & justification. A comprehensive outline of the issues faced during the research with a convincing analysis. A clear and well- expressed view of the present and future value of the dissertation contextualised well |
A clear outline of the learning achieved. Some generic or derivative statements. A largely descriptive account with some evidence of analysis & personalisation. Few views and opinions are expressed with little developed consideration. Statements may be made without clear justification. A clear reflection on the issues faced with specific analysis and related well to the project. |
Attempts were made to establish the learning achieved during the project. Much of the content may be generic and non-specific. Limited expression of unjustified views and opinions. Some relation to the project in hand but without analytical depth. A limited attempt to engage with the issues faced during the research without a deeper relation to the project. Limited awareness of the future |
Poor attempt to establish learning achieved during the project without contextualisation. Inadequate expression of views towards the dissertation without focus or contextual awareness. Reference was made to the issues, but without supporting examples and/or unspecific to the project in hand. Sparse and unspecific statements relating to the future value of |
No discussion or cursory attempt to engage. Not included or little attempt to discuss the dissertation process and the overall project. Not included or a few unspecific references to the practical and ethical issues involved in the project. Not included or little understanding demonstrated as to the future utility of the dissertation. |
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argument underpinning the insights. Exceptionally well- considered statement that presents the personal and potentially broader context for the value of the work. |
issues with a clear analysis argued from a coherent perspective and delivered with a positive analysis. Excellently presented observations on the value and overall utility of the dissertation. |
to the student's learning journey/career intentions. |
A clear expression of the present and future value of the dissertation. |
potential utility of the dissertation expressed. |
the dissertation present. |
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Final Mark:
Comments: |
Example-Full and final dissertation submission checklist
Documents required |
Included Y/N |
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Front Cover Sheet – Boxes fully completed i.e., Name, ID, Word Count etc. |
Y |
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Completed Checklist |
Y |
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Ethical Approval Confirmation Email - automated email – see example below on Page 13 |
Y |
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Statement of Authenticity |
Y |
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Abstract |
Y |
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Acknowledgements |
Y |
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Table of Contents |
Y |
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List of Graphs, Illustrations, Tables etc |
Y |
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Appendix 1 – Table(s) / Figures (i.e., if more than a page) |
Y |
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Appendix 2 – Questionnaire template – if used |
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N |
Appendix 3 – Interview questions – if used |
Y |
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Appendix 4 – Data Collection Sheet/Protocol - Example of Page 47 |
Y |
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This checklist must be included within the dissertation and be placed directly behind the front cover sheet. If you are unsure about any of the required documents, please seek guidance from your supervisor. |
This is a sample of an ethical approval email which you will receive once the local research ethics coordinator has approved your dissertation research.
If you are not in receipt of such an email, then you have not received ethical approval, whether for a secondary or primary dissertation and you are to submit your dissertation.
Contact your Supervisor as a matter of urgency if you are planning to submit and you have not received ethical approval.
This must be placed in the front of the dissertation directly behind the ‘Dissertation Checklist’
Postgraduate Scheme:
Programme/Course:
Statement of Originality and Authenticity
This dissertation is an original and authentic piece of work by me. I have fully acknowledged and referenced all material incorporated form secondary sources. It has not, in whole or part, been presented elsewhere for assessment.
I have read the Examination Regulations and I am aware of the potential consequences of any breach of them.
Signature:
Name:
Date:
POSTGRADUATE DISSERTATION – Research
Proposal <TITLE>
Student ID: |
<Student ID> |
Name: |
<Full Name> |
Course: |
<Course> |
Supervisor: |
<Supervisor> |
Word Count: |
<Word Count> |
Date submitted: |
<Date/Month/Year> |
POSTGRADUATE DISSERTATION –<TITLE>
Student ID: |
<Student ID> |
Name: |
<Full Name> |
Course: |
<Course> |
Supervisor: |
<Supervisor> |
Word Count: |
<Word Count> |
Date submitted: |
<Date/Month/Year> |
This must be included in the dissertation with full details, as required below.
Name: |
ID: |
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Course: |
Supervisor: |
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All the methods and modes employed within your dissertation study must be listed here, completing each criteria (examples are provided for clarification). |
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Data Collection Mode: ☐ Primary Data ☐ Secondary Data |
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Quantitative Methods |
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Method |
Mode & Platform |
Date Collected |
Participants (as per ethics form) |
How accessed? |
Sample size and Response Rate |
File format available in. |
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E.g. Questionnaire |
Online, Google Forms |
20 August 2020 |
Staff in marketing Dept |
Via the Head of Marketing |
Sent to 80, RR 45 |
Excel File |
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Qualitative Methods |
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Method |
Mode & Platform |
Date Collected |
Participants (as per ethics form) |
How accessed? |
Sample size and Response Rate |
File format available in. |
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E.g. One to one interview |
MS Teams online |
2 August 2020 |
Head of Marketing (HoM) Dept |
Company email if HoM |
1 sample, 1 RR |
Audio MP4 & transcript |
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The Learning Statement (5%) seeks to assess enabling skills, higher-order skills, connectivity, and ethical emphasis. These relate to Learning Outcome 5 of the module as stated below:
‘Produce a Dissertation Learning Statement as a form of reflective practice intended to instil a greater level of self-awareness about the nature and impact of their work on the module, to consider how their knowledge, skills and attributes were used and deployed on the module, and how this might link to future professional development’.
Leeds Beckett University, Leeds Business School, Postgraduate Dissertation LEARNING STATEMENT Name: Course: |
1. Approach to the research (incl. ethical emphasis) (approx. 100 words) |
2. Achieved learning (approx. 100 words) |
3. Views and feelings towards the Dissertation (approx. 100 words) |
4. Practical and/or ethical issues/problems encountered and how resolved (approx. 100 words) |
5. Reasoned perception of the present and future value of the Dissertation (approx. 100 words) |
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