How to Write the Background of the Study – Part 3 (Inductive Style)

A clear structure is the difference between a background of the study that reads smoothly and one that stalls or spirals into repetition. Using the inductive “head–body–tail” model, the writing starts by defining the key concept and naming the research gap, then builds credibility through evidence and justifications, and finally closes by rehashing the research goal and explaining why the study matters. The practical payoff is twofold: the draft becomes easier to write step-by-step, and reviewers know what to look for—reducing the risk of major revisions.

The inductive model is laid out as a three-part architecture. The “head” (opening paragraph(s)) should include the main goal of the proposed research, the research problem or gap, and the thesis statement. In the “body,” the writer supports the bold claims introduced in the head with justifications—proofs drawn from observation, interviews, documents, and relevant literature. The “tail” (concluding paragraph) then restates the research goal and the compelling rationale for pursuing the study, but framed differently so it does not sound mechanical.

That structure is contrasted with the deductive style, described as harder because it begins with the problem and context without the guiding introduction. In deductive writing, the main goal and thesis rationale come later, after the problem and justifications have already been presented. Inductive writing, by contrast, front-loads the reader’s orientation: what the study is about, what gap it targets, and why it is worth doing.

Beyond style, the lecture argues that knowing these models prevents common writing failures. With a plan, writers are less likely to get “lost along the way” when staring at a blank screen, because each section has a defined next step. It also improves coherence: instead of random ideas stitched together, the background moves logically from claim to evidence to conclusion. Finally, it aligns with how thesis committees review drafts—members look for specific core elements, and missing them is a signal that the proposal may need substantial revision.

To demonstrate the inductive approach, the lecture walks through a sample background of the study on “lived experiences of Kalinawa National High School grade 10 students with mathematical anxiety.” The opening defines mathematical anxiety using a cited definition, then briefly describes its nature and dynamics. It immediately frames the research problem: if mathematical anxiety is left unaddressed, it can expand into avoidance patterns such as cutting classes and absenteeism, harming math performance and potentially affecting learning and even vocational choices. The research goal and thesis statement follow, aiming to determine students’ lived experiences and identify factors behind their disinterest in mathematics.

The body then supplies “proof” through first-hand and preliminary data: classroom monitoring, interviews, and observations, supported by literature. The sample includes concrete behavioral indicators—tension, fearfulness, low self-esteem, reluctance during recitation, and avoidance of math—along with corroborating claims from scholars (e.g., citations to support emotional symptoms and negative attitudes toward math). The concluding tail reaffirms the presence and impact of mathematical anxiety, argues that the consequences extend beyond grades to future career plans and wellbeing, and positions the study as a basis for later recommendations.

Overall, the lecture treats the background of the study as an argument that must be both logically structured and evidence-backed: claims come first in the head, credibility is built in the body, and the tail closes by restating purpose and stakes in a fresh way.