Research Methods 2 B9RS106
- Subject Code :
B9RS106
- University :
university dublin Exam Question Bank is not sponsored or endorsed by this college or university.
- Country :
India
Assignment Details
Item |
Description |
Module Title: |
Research Methods 2 |
Module Code: |
B9RS106 |
Module Lecturer (s): |
Vanessa Hogarty Mina Ghahremanzamaneh Xu Han Diana May Pena |
Programme/Cohort: |
MBA |
Method of Assessment: |
Research Proposal |
Percentage (%) Weighting: |
80% |
MIMLOs being assessed: |
1-5 |
Assessment Number: |
2 |
Individual/Group: |
Individual |
Issue Date: |
Date |
Submission Date: |
April 20, 2025 |
Feedback Date: |
4 weeks |
Feedback Strategy[1]: |
Moodle |
Assignment Task
Students will write a detailed plan / proposal for the dissertation research project by completing the Mandatory template titled Research Proposal & Ethics Application which can be found under the assessment information section on moodle
- This form is for complete by all MBA students in any pathway
- Applicants are responsible for ensuring that they complete all relevant sections of the document accurately.
- Applicants must ensure that they include all relevant supporting documents.
- This form should be completed using Calibri font with 1.5 spacing.
- Word limits, where stated, must not be exceeded.
- The completed form must be converted to a PDF for submission.
- The completed form must be submitted in a folder alongside all relevant supporting documents via the CA2 Submission Portal
Generative Artificial Intelligence Assessment Scale
Can generative AI be utilised in this assignment?
1 |
2 |
3 |
4 |
5 |
NO AI |
AI-ASSISTED IDEA GENERATION AND STRUCTURING |
AI-ASSISTED EDITING |
AI TASK COMPLETION, HUMAN EVALUATION |
FULL AI |
The assessment is completed entirely without AI assistance. This level ensures that students rely solely on their knowledge, understanding, and skills. AI must not be used at any point during the assessment. |
AI can be used in the assessment for brainstorming, creating structures, and generating ideas for improving work. No AI content is allowed in the final submission. |
AI can be used to make improvements to the clarity or quality of student created work to improve the final output, but no new content can be created using AI. AI can be used, but your original work with no AI content must be provided in an appendix. |
AI is used to complete certain elements of the task, with students providing discussion or commentary on the AI-generated content. This level requires critical engagement with AI generated content and evaluating its output. You will use AI to complete specified tasks in your assessment. Any AI created content must be cited. |
AI should be used as a co-pilot in order to meet the requirements of the assessment, allowing for a collaborative approach with AI and enhancing creativity. You may use AI throughout your assessment to support your own work and do not have to specify which content is AI generated |
Grading Criteria CA2
CA2 Marking Rubric Summary (see details below):
Aims / Research Questions / Objectives (15)
Research Design (5)
Rationale / Literature Gap (10)
Data Collection Methods (10)
Participant Sample (10)
Recruitment Strategy (10)
Measurement Framework (10)
Academic writing style (10)
Use of In-text Citations (Harvard referencing style) (5)
References List (Harvard referencing style) (5)
Ethical grounding (10)
Total (100)
Ethical Recommendation: Preliminary Approval / Conditional Approval / Reject
Detailed Guidelines for each Section:
Aims / Research Questions / Objectives (15)
|
Aims = A clear statement about the new knowledge and insights that the research generates. Most research projects are limited in scope to generating small new insights that help to understand an issue better or inform decision-making in some small way. Research Questions = are aims phrased in a question format (what, how, etc.) and ending with a question mark. Objectives = A statement about the research activities that will be undertaken to achieve the aims (e.g., surveys, interviews, quantitative modelling, experiments, etc.). They may also refer to hypothesis testing. Objectives should be aligned to an aim/question. Overall, the aims, objectives, and research questions should be cohesive. A common mistake is for them to convey very different stories. |
Research Design (5) |
Students should indicate their research approach and strategy (e.g. descriptive research, evaluative research, etc). This can be inserted where it fits best (e.g. Section C on the Aims, Objectives or Rationale, or Section D under Procedures and Materials). |
Rationale / Literature Gap (10) |
Students should discuss clearly the issue motivating their research project. They should explain the nature of the issue using theoretical frameworks/concepts. They should also provide valid and reliable empirical evidence to support claims and further demonstrate the issue. They must also convincingly demonstrate the project's potential value in terms of filling a gap in knowledge in the academic literature, solving a problem, or adding practical value. To do this, please outline what previous studies on this topic have found and which dimension they have not addressed that your research will attempt to address (by collecting data from a participant sample). This can be a different geographical dimension, introducing new variables, post-Covid context, etc. The need for your new proposal must be validated with the literature. Suggestions for further research could often be found in the Conclusion of research articles. |
Data Collection Methods (10) |
Students should describe exactly how they will gather their primary data (or collate a secondary dataset if using valid secondary data). Estimate the number of responses required to analyse data statistically or qualitatively (based on previous studies, with references provided). |
Participant Sample (10) |
Students must define/describe the population of interest, clearly identifying the characteristics that make an individual part of the population and clearly delineating the population of interest from other populations. Students should estimate the size of the population. This does not need to be an exact figure but rather a rough idea. |
Recruitment Strategy (10) |
Students should explain how they will recruit and select participants for their sample, including inclusion/exclusion criteria. They should explain their choice of sampling technique and project their sample size. This must be feasible/realistic. For example, for an online survey, recruit participants using the opt-in versus opt-out approach: upload a link to the online survey on your social media, specifying the criteria to participate, so that your contacts can click on it if they wish. Ask your friends to upload the link to their social media, to get more responses. |
Measurement Framework (10) |
This includes describing in detail the conceptual framework for the study, which will form the basis of their measurement approach. This framework should specify the key constructs/variables to be measured (quant data) and provide definitions. Measurement instruments should be presented with clear mappings to the variables/constructs they measure. In the case of instruments that were originally developed by other authors, references are required. In the case of self-made instruments, the student must explain the theoretical/conceptual basis for the items in the instrument and how they designed those items. Students must include copies of the measurement instruments as appendices (referred to in text). These should be at the intermediate/advanced draft stages. |
Academic writing style (10) |
Students should write using formal scientific language. Paragraphs should be focused, unified and seamlessly connected to create a clear and coherent narrative. The student should effectively put themselves in the shoes of a reader who has a high level of academic competency but does not have specific knowledge of the topic at hand. In doing so, the student should ensure that the details of the study are clear and understandable to the reader. |
Use of In-text Citations (Harvard referencing style) (5) |
The use of in-text citations should be consistent. The student should include a sufficient number of references sourced appropriately for academic work (peer-reviewed journals, industry reports, reputable sources - not news). Please use Harvard formatting for in-text citations see the DBS library referencing guide at https://libguides.dbs.ie/referencing/harvard |
References List (Harvard referencing style) (5) |
Please use Harvard formatting for the References list see the DBS library referencing guide at https://libguides.dbs.ie/referencing/harvard |
Ethical grounding (10) |
At a minimum, all students must ensure that their supervisor assigned in Semester 3 reviews their exact data collection procedures carefully to ensure compliance with ethical standards. No student should start gathering data until this review is complete. Some students may be required to seek approval from the DBS ethics committee. |
Total (100) |
|
Ethical Recommendations may include the following:
|
? Preliminary approval (Pending Full Review by Supervisors) ? Conditional Approval (Recommended Changes and Pending Full Review by Supervisors) ? Reject (Reject or Seek reapproval from a higher-level Ethics Committee) |
General Requirements for Students:
- All assignments must be submitted no later than the stated deadline (date and time).
- Assignments submitted after the latest deadline specified (including any approved extension deadline) are considered late and penalised according to the Quality Assurance Handbook (QAH) Part B Section 5.2.2.6 as follows:
- A penalty of 2 marks will be applied per day or part thereof (including weekends and public holidays) for an ongoing failure to submit beyond the submission deadline.
- An examiner has the right to refuse to mark the assignment if the submission instructions have not been observed.
- Where a late assessment is submitted within 14 days of the deadline, and is of a passing standard, the late penalty is capped (such that the minimum grade that can be awarded is 40% for the late submission).
- Where a late assessment is submitted more than 14 days after the deadline, it will receive 0%. The lecturer may, at their discretion, review the submission for feedback.
- Where the assessment is undertaken in a group, the piece of work should be submitted in its complete entirety, and any penalty for late submission incurred applies to all group members.
- Extensions to assignment submission deadlines will not be granted, other than in exceptional circumstances. To apply for an extension please go to https://students.dbs.ie/dashboard/SCCM and open a ticket.
- All relevant provisions of the Assessment Regulations must be complied with (see QAH B.5).
- Students are required to refer to the assessment regulations in their Programme Handbook, and on the Student Website.
- Dublin Business School penalises students who engage in academic impropriety (i.e. plagiarism, collusion and/or copying, ghost writing/ essay mills, improper use of Generative Artificial Intelligence software).
- Refer to the Colleges Generative AI Guidelines HERE for further information.
- Guides on referencing are available on the Library website: https://libguides.dbs.ie/referencing
- Text-matching analysis software is integrated in Moodle to generate a report regarding the degree of text-matching in a submission.
- Students are required to retain a copy of each assignment submitted, until the issuing of a transcript indicating the mark awarded and the closure of the Appeal period (2 weeks following the release of final results).
- Results can only be appealed following the release of final results, and the Appeal form must be submitted to the Exams Office within the Appeal period.
- An appeal must be based on valid grounds (see the Appeals Policy QAH B.3.5), dissatisfaction with a grade is not sufficient grounds for an appeal.
- Assignments must be appropriately packaged and presented.
- All assignments should be submitted to your subject/course page on Moodle by the deadline date.
- Where a submission involves digital media (i.e formats other than Word, Powerpoint or PDF), it is the submitting students responsibility to ensure the media is appropriately labelled, fully working and they must retain a copy[2].
- Components of an assessment which are not included in the final submission cannot normally be subsequently accepted for grading. It is the students responsibility to ensure their file is uploaded correctly.
- Include an electronic cover sheet with the following details to the front of the assignment (see below)
- Assignments that breach the word count requirements will be penalised. There is a 10% discretion, either way, applicable in terms of word count.
- When you submit your assignment you will be asked to click on a button which will declare the following:
By ticking this box I am confirming that this assignment/exam is all my own work. Any sources used have been referenced. I have read the College rules regarding plagiarism in the QAH Part B Section 3 and understand that penalties will be applied accordingly if work is found not to be my own. All work uploaded is submitted via Ouriginal, whereby a text-matching report will show any similarities with other texts. |
