Understanding Research Across Disciplines
Chapter purpose. By the end of this chapter, you should be able to apply the central concepts to a real assignment, research paper, thesis, or article in your own discipline.
LEARNING OBJECTIVES
- Differentiate quantitative, qualitative, and mixed-methods approaches.
- Align a research question with an appropriate form of evidence.
- Recognize standards for data quality and credible interpretation.
KEY TERMS
Research as systematic inquiry
Research is a systematic response to a meaningful question. Although the source text emphasizes education, the underlying logic applies across disciplines: define a problem, determine what evidence could answer it, collect and analyze that evidence rigorously, and explain the limits of the resulting claim. Disciplinary differences affect what counts as data, which methods are legitimate, and how findings are reported.
Three broad approaches
Quantitative research examines variables through numerical data and statistical analysis. Qualitative research investigates experience, meaning, practice, or context through materials such as interviews, observations, documents, or artifacts. Mixed-methods research combines quantitative and qualitative components when their integration offers a stronger response than either component alone. The label should follow the research purpose, not fashion.
From question to evidence
A question about prevalence may require a survey or dataset; a question about lived experience may require interviews; a question about change may require longitudinal, experimental, design-based, or comparative evidence. Researchers must also consider access, sampling, measurement, language, time, and ethics. Pilot testing can reveal unclear questions or impractical procedures before full data collection begins.
Credible analysis and interpretation
Data do not explain themselves. Quantitative analysis requires appropriate statistical procedures and cautious interpretation of association and causation. Qualitative analysis requires an explicit analytic process and evidence that interpretations are grounded in the data. Validity and reliability are common quantitative concerns; qualitative researchers often discuss credibility, dependability, confirmability, and transferability. Triangulation may strengthen an interpretation when multiple sources genuinely address the same question.
Cross-disciplinary evidence and reporting standards
Research quality cannot be reduced to one universal method. Engineering may prioritize performance under specified conditions; natural sciences may foreground measurement and reproducibility; health research may require participant protection and protocol transparency; humanities research may build an interpretive claim from texts, artifacts, or archives. The common principle is alignment: the question determines what evidence is relevant, and the claims must not exceed what the design and data can support. Before collecting data, identify the reporting standard used by the relevant field. Reporting guidelines do not replace methodological judgment, but they provide information readers need to evaluate a study. The EQUATOR Network organizes designspecific guidance, including CONSORT for randomized trials, STROBE for observational studies, and COREQ for qualitative interviews and focus groups (EQUATOR Network, 2026). The updated CONSORT 2025 statement emphasizes complete and transparent reporting of randomized trials (CONSORT Group, 2025). Students in other fields should identify an equivalent disciplinary standard or the author instructions of a respected journal. Use a design memo with five columns: research question, evidence needed, source or participant, analytic procedure, and permitted claim. This memo is especially valuable when a project combines methods. Mixed-methods research is not made coherent by collecting numbers and interviews; the researcher must explain why integration is needed, where it occurs, and what inference becomes possible because of it.
Discipline rotation—natural sciences
A chemistry student reporting a synthesis should preserve reagent specifications, instrument settings, calibration information, exclusions, and unsuccessful conditions when these affect interpretation. Reproducibility begins with records detailed enough for another qualified researcher to understand what was done.
WORKED REVISION
Question-method mismatch Better alignment How do first-year international students Use interviews or focus groups for experience group work? A closed yes/no detailed accounts, and add a survey only if survey alone is unlikely to capture the the study also needs evidence about process or meaning of that experience. broader patterns.
원본은 이 부분을 Weak / Stronger 2단 표로 조판했습니다. 여기서는 원문 텍스트를 그대로 이어 실었습니다.
APPLICATIONS
- Undergraduate application: Turn a broad topic from one of your courses into one descriptive and one analytical research question. Graduate application: Draft a question-evidence-method alignment table for your proposed thesis or article.
REFLECTION QUESTIONS
- Which idea in this chapter changes how you understand your current writing or research task?
- Which expectation may differ from your previous educational experience?
- What specific action will you complete next?