How to Develop a Research Framework: From Problem Statement to Conceptual Framework in Chapters 1 and 2

Quick answer: To develop a research framework, start with one clear problem written as Ideal vs Reality, choose a theory whose constructs become your independent variables, review recent studies variable by variable in a literature matrix, write one directional hypothesis per relationship, and finish with a labelled IV → DV diagram. Everything else in Chapters 1 and 2 supports those five pieces.

That sounds tidy. In practice, most students open a brief like MSU’s BRS20103 Research Methodology Assignment 1, see sixteen sub-headings and a 12-column matrix, and start writing 1.1 because it is first. Don’t. When you develop a research framework, you work from the middle outwards: variables first, then the problem, then everything that justifies them.

Short on time? If your topic is approved but your variables are not, our research experts can help you shape the framework before you write a word. Talk to an expert about your Chapter 1 and 2 framework.

What a research framework actually is (and what markers check)

A research framework is the logical chain that connects your problem, your theory, your variables and your hypotheses. If one link is missing, the marker notices immediately, because each rubric row tests one link.

Take the BRS20103 rubric as an example. Problem statement formulation carries 20 marks, literature review and synthesis 20, underpinning theory and hypotheses 20, RO/RQ and definitions 10, and the conceptual framework diagram 10. That is 80 of 100 marks resting on the framework itself. Only APA style and Turnitin originality sit outside it. You can read the full requirements on the BRS20103 Assignment 1 brief.

Theoretical framework vs conceptual framework

This is the confusion we see most often. The two are related but not the same.

Step 1: Lock your variables before you write anything

Write your dependent variable (DV) at the top of a blank page. Then list three or four independent variables (IVs) that a known theory says should influence it. Stop there for now.

A student working on generative AI adoption, for example, might take performance expectancy, effort expectancy and facilitating conditions from UTAUT (Venkatesh et al., 2003) as IVs, with GenAI adoption as the DV. If the topic also mentions an outcome such as learning quality, that becomes a second DV or a separate objective. Check with your lecturer which they prefer; some want a strict IV → DV picture only.

Three or four IVs is plenty for an undergraduate framework. Six IVs means six literature sub-sections, six hypotheses and a questionnaire nobody wants to fill in.

Step 2: Write the problem statement as Ideal vs Reality

The Ideal vs Reality method gives your problem statement a built-in gap. Write three short paragraphs: what should be happening (with a citation), what is actually happening (with recent statistics or findings), and the gap between them that your study will test.

The common failure is a problem statement that is really a second background. “GenAI is growing rapidly in Malaysia” is background. “Students use GenAI weekly, yet studies link heavy use to procrastination and lower performance, and no Malaysian study has tested its effect on learning quality” is a problem.

• Ideal: one or two sentences, one citation.
• Reality: figures from the last two or three years, at least two sources.
• Gap: one sentence naming the population, the context and the untested relationship.

If your gap sentence does not mention your variables, the rest of the framework will not connect to it.

Step 3: Align objectives, questions and hypotheses in one table

Markers award top marks for RO and RQ only when they are “perfectly aligned”. The fastest way to guarantee that is to draft them together.

Use identical variable names in every column. If the RO says “perceived ease of use” and the hypothesis says “effort expectancy”, a marker will read that as a mismatch, even if you meant the same thing.

Then define each variable twice. The conceptual definition comes from the literature and carries a citation. The operational definition says how you will measure it in your study, for example “five-point Likert items adapted from Venkatesh et al. (2012)”.

Step 4: Build a literature matrix table, then synthesise by variable

A literature matrix table is a spreadsheet with one row per article and fixed columns for author, year, title, problem, objectives, design, DV, IV, sampling, data collection, findings and remarks. It turns 30–50 articles into something you can compare at a glance, which is exactly what synthesis requires.

Fill the matrix as you read, in your own words. That single habit does more for your Turnitin score than any paraphrasing tool, because you write Chapter 2 from your notes rather than from abstracts.

How to turn the matrix into synthesis

1. Sort the matrix by IV column.
2. For each IV, count how many studies found a significant positive, negative or no effect.
3. Write one sub-heading per IV (2.3.1, 2.3.2 and so on).
4. Open each sub-section with the pattern, not with an author: “Most studies find…, although…”.
5. Explain disagreements with context – country, sample, tool version, design.
6. Close with one sentence that sets up the hypothesis.

Here is the difference in practice. A list says “Habibi et al. (2023) found facilitating conditions significant. Foroughi et al. (2024) found them not significant.” Synthesis says “Facilitating conditions predicted intention strongly in Indonesia (Habibi et al., 2023) but not in Malaysia (Foroughi et al., 2024), possibly reflecting differences in access and institutional policy.” The second version earns the Level 4 descriptor.

Honestly, contradictions are a gift. A variable with mixed findings is a stronger reason to test it again than one everyone agrees on.

Step 5: Choose a theory that produces your variables

Your underpinning theory should do real work: its constructs should be your IVs. If you cannot draw a line from the theory to each variable, it is the wrong theory, however famous it is.

Explain the theory in two or three paragraphs, say why it fits better than an alternative, and name any construct you dropped and why. That last point is what separates “theory is relevant” from “theory is perfectly suited”.

Step 6: Write directional hypotheses and draw the conceptual framework

A directional hypothesis states the expected direction of a relationship, such as “There is a significant positive relationship between performance expectancy and GenAI adoption among university students.” Each hypothesis should follow two or three supporting studies and a link back to the theory.

Avoid “There is a relationship between X and Y”. It is non-directional, and a brief that asks for directional statements will not reward it.

The conceptual framework diagram then needs only four things: IV boxes on the left, the DV box on the right, one arrow per hypothesis labelled H1, H2 and so on, and a source line such as “Adapted from Venkatesh et al. (2003)”. Use Word shapes or draw.io, align the boxes, and keep it to one page. You can see a worked example in our BRS20103 research framework sample on GenAI adoption (for reference only).

Where students lose marks, and how to fix it fast

One more thing about the AI index. If your topic is about AI, do not assume the lecturer is relaxed about AI-written text. The MSU brief asks for an AI index below 15%, so draft in your own voice and keep your matrix notes as evidence of your process.

Framework done but the writing still feels thin? Our team offers guidance, model answers and editing support across research reports and research paper writing help in Malaysia. Every order is covered by our quality warranty.

Checklist: develop a research framework that is ready to submit

• Background uses statistics from the last two or three years
• Problem statement has an Ideal, a Reality and a one-sentence gap
• RO, RQ and H use identical variable names
• Every variable has a conceptual and an operational definition
• Literature sub-headings follow your variables, not your authors
• Matrix table includes all 12 columns the brief asks for
• Theory constructs map to your IVs
• Every hypothesis is directional and supported
• Diagram arrows are labelled H1–H4 with a source line
• APA 7 in-text citations match the reference list

Where this assignment leads next matters too. The variables you fix now become your questionnaire later, and in final year they often become your final year project. Getting the research framework right once saves you rebuilding it twice. If your structure still feels shaky, our guide on writing a good research paper outline in Malaysia helps you organise the full report.

Deadline close and the framework still not connecting? Send us your brief and approved topic. A business research expert will show you where the chain breaks and how to fix it, with a reference model you can learn from. Files and identity stay confidential under our privacy policy. Get help developing your research framework.

About the expert

Amirul Azam holds an MBA from the University of Malaya. His profile lists marketing, management, organizational behaviour and international business, over a decade in managerial roles in marketing and advertising, six years of academic assistance and 2,341 completed orders.

Frequently asked questions

How many independent variables should my research framework have?

Three or four independent variables is a sensible number for an undergraduate research framework. It gives you enough relationships to test while keeping the literature review and hypotheses manageable. Each extra variable adds a literature sub-section, a hypothesis, more questionnaire items and more analysis, so add one only when the theory and your problem statement clearly need it.

What is the difference between a theoretical and a conceptual framework?

A theoretical framework is the published theory you rely on, such as TAM or UTAUT, explained in prose. A conceptual framework is your own diagram for this study, showing your chosen independent variables pointing to your dependent variable with labelled hypotheses. The theoretical framework justifies the conceptual one, so the two must use the same constructs.

How do I write a problem statement using Ideal vs Reality?

Write what should be happening, supported by a citation. Then write what actually happens, using recent statistics or study findings. Finish with one sentence stating the gap: the population, the context and the relationship nobody has tested. Keep it to three or four short paragraphs, and make sure the gap sentence names your variables.

What columns should a literature matrix table include?

A literature matrix table usually includes author, year, title, research problem, objectives, research design, dependent variables, independent variables, sampling method, data collection method, key findings and remarks. The MSU BRS20103 brief lists exactly these twelve columns. Fill it in your own words as you read, so you can write the review from your notes.

Can I use old theories like TAM from 1989 if the brief wants recent sources?

Yes, foundational theories can be cited from their original publication, because the theory itself has not changed. The five-year rule applies to the empirical evidence you use to discuss findings and justify hypotheses. Cite Davis (1989) for TAM, then support each relationship with studies from the last five years.

Is it acceptable to get help with my research framework?

Yes, as long as you use the help to learn and then write your own work. Guidance, feedback on your draft and reference model answers are legitimate study support. Submitting someone else’s text as your own breaches academic integrity rules, and the MSU brief gives a zero for copied work, so use any model answer only as a reference.

References

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., & Naghmeh-Abbaspour, B. (2024). Determinants of intention to use ChatGPT for educational purposes: Findings from PLS-SEM and fsQCA. International Journal of Human–Computer Interaction, 40(17), 4501–4520. https://doi.org/10.1080/10447318.2023.2226495

Habibi, A., Muhaimin, M., Danibao, B. K., Wibowo, Y. G., Wahyuni, S., & Octavia, A. (2023). ChatGPT in higher education learning: Acceptance and use. Computers and Education: Artificial Intelligence, 5, Article 100190. https://doi.org/10.1016/j.caeai.2023.100190

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412