MDIA5031 Chap.4 Building a Feasible Proposal

Building a Feasible Proposal

Building a Feasible Proposal focuses on rationale, questions, method and feasibility. The proposal is an alignment argument; Its rationale establishes the problem and significance; the literature review develops the gap; the theoretical framework provides an analytical lens; the research questions specify what will be answered;

and the method explains how suitable evidence will be collected and analysed; A reader should be able to trace a continuous line through those parts without encountering a method that answers a different question or a theory that never appears again;

Feasibility requires more than an interesting topic; Test whether data are accessible, whether recruitment or collection is ethical, whether the amount can be processed within the teaching period, and whether the selected method is one taught in the course;

Interviews, content analysis, and discourse analysis create different kinds of claims; The strongest proposal names its limits in advance and chooses a modest design that can be implemented carefully for the research paper rather than promising a population-wide conclusion from a tiny convenience sample;

What this chapter covers

• 01

  Building a Feasible Proposal: central decision route

• 02

  Rationale evidence and questions boundaries

• 03

  Method decisions and difficult cases

• 04

  Feasibility limits and transparent reporting

• 05

  Proposal alignment in the project audit trail

Apply the building a feasible proposal decision rule

Key terms

Proposal alignment

A defensible connection among rationale, literature, theory, questions, method, evidence and significance.

Method fit

The degree to which a chosen research method can produce evidence capable of answering the stated question.

Design trade-off

A benefit and limitation created by a choice about access, sample, depth, breadth or analysis.

Building a Feasible Proposal FAQ

Assessment move

The proposal is an alignment argument; Its rationale establishes the problem and significance; the literature review develops the gap; the theoretical framework provides an analytical lens; the research questions specify what will be answered;

and the method explains how suitable evidence will be collected and analysed; A reader should be able to trace a continuous line through those parts without encountering a method that answers a different question or a theory that never appears again;

Feasibility requires more than an interesting topic; Test whether data are accessible, whether recruitment or collection is ethical, whether the amount can be processed within the teaching period, and whether the selected method is one taught in the course;

Interviews, content analysis, and discourse analysis create different kinds of claims; The strongest proposal names its limits in advance and chooses a modest design that can be implemented carefully for the research paper rather than promising a population-wide conclusion from a tiny convenience sample;

Feasibility should be demonstrated through choices: a bounded sample, an accessible collection route, an achievable analysis plan and a method compatible with the question; Explain trade-offs instead of pretending they disappear;

A narrower design completed transparently can support a stronger assessment than an ambitious promise with no credible route from data to interpretation; Use a backward check from the intended paper; Imagine the results section you could honestly write after following the proposal;

If the plan cannot yield evidence for that section, change the question or method now; If collection would exceed the term, reduce the corpus or sample while retaining the analytical relationship that makes the project worthwhile;

Place the hardest practical constraint beside the relevant design choice; Recruitment uncertainty, inaccessible archives and transcription time should alter scope early, not appear later as surprises that break the proposed analysis;

End the proposal audit by tracing one intended result backward through analysis, collection and the research question; A proposal promises fifty interviews during a short teaching period; What is the defensible repair; Reduce and justify the sample, account for recruitment and transcription time, and align the narrower claim with a feasible thematic analysis;

The method section describes surveys; What contract is broken; The brief permits interviews, content analysis or discourse analysis, so choose a taught method that can answer the revised question; Trace the intended result backward to a feasible collection route, realistic workload and aligned question;

The proposal account must disclose the constraint that shaped the feasible route to completion; Building a Feasible Proposal decision vocabulary: resourcing contingency recruitment scheduling access transcription workload deliverability sequencing dependency mitigation implementation backwards-planning milestone-risk corpus-volume participant-yield analytic-depth fallback-route ethics-leadtime completion-path trade-off