Monday, November 9, 2026

The nature of Qualitative research

 


Qualitative research is an inquiry approach that explores how people experience, interpret, and give meaning to social or educational phenomena. In linguistics and English Language Teaching (ELT), it is especially useful for studying classroom interaction, learner beliefs, teacher practice, and language use in real contexts.leedsbeckett.ac+1

SOURCE: https://www.perplexity.ai/session/1cd7eee3-bee4-4f9a-9770-17c16a02cae1

Definition

Creswell defines qualitative research as an approach for exploring and understanding the meanings that individuals or groups assign to a social or human problem. Its process involves emerging questions, data collected in participants’ settings, inductive analysis from particular cases to broader themes, and researcher interpretation.leedsbeckett.ac+1

C. R. Kothari describes qualitative research as research that seeks depth and context through non-numerical evidence, such as interviews and observations, rather than primarily through statistical measurement.nuevo.ieem.edu

Bogdan and Biklen characterize qualitative research in education as naturalistic: it uses real settings as the direct source of data, produces descriptive data, focuses on process, analyzes data inductively, and treats participants’ meanings as central.idr.uin-antasari.ac+1

Nature of qualitative research

FeatureWhat it means in practice
Natural settingData are gathered where the phenomenon occurs, such as an English classroom, school, or online learning environment. fenix.iseg.ulisboa+1
Researcher as instrumentThe researcher observes, interviews, takes field notes, and interprets participants’ experiences. cjc-rcc.ucalgary+1
Descriptive dataThe main data are words, conversations, documents, field notes, and images—not only numerical scores. fenix.iseg.ulisboa+1
Process orientationResearchers study how something develops, such as how learners improve speaking confidence or how teachers scaffold vocabulary. cjc-rcc.ucalgary+1
Inductive analysisThemes, categories, and explanations emerge from the data rather than being imposed entirely from a prior hypothesis. leedsbeckett.ac+1
Meaning-centeredThe focus is participants’ perspectives: what an experience means to them and why they act as they do. leedsbeckett.ac+1

How it works

A typical qualitative study follows a flexible but systematic sequence:

  1. Identify a meaningful problem. For example: “How do Indonesian EFL students experience anxiety when speaking English in class?”

  2. Choose a qualitative design. Common options include case study, ethnography, narrative inquiry, phenomenology, and grounded theory.fenix.iseg.ulisboa+1

  3. Select participants and a site. A researcher may work with one class, several students, teachers, or a school community, using purposive sampling to select information-rich participants.

  4. Collect data. Common methods are semi-structured interviews, classroom observations, reflective journals, audio/video recordings, documents, and open-ended questionnaires.

  5. Analyze data inductively. Following Miles and Huberman, researchers engage in data condensation, data display, and conclusion drawing/verification; these activities are iterative rather than strictly linear.businesssciencedaily+1

  6. Develop themes and interpretations. The researcher codes transcripts and field notes, groups related codes into themes, and explains patterns in relation to the research questions.obssr.od.nih+1

  7. Ensure trustworthiness. Researchers use strategies such as member checking, triangulation, thick description, peer debriefing, and an audit trail to strengthen credibility and dependability.

  8. Report findings. The report usually presents rich description, participant quotations, themes, and an interpretation grounded in the data.

Miles and Huberman’s analysis model

Miles and Huberman view qualitative analysis as a continuous, interactive process rather than a simple sequence of steps. Their model has four connected activities: data collection, data condensation, data display, and conclusion drawing/verification.businesssciencedaily

  • Data condensation means selecting, focusing, simplifying, and coding large amounts of interview or observation data.iies.gusec.edu

  • Data display organizes condensed data through matrices, charts, networks, or thematic tables so patterns become visible.theculturelab.umd+1

  • Conclusion drawing and verification means forming provisional interpretations and repeatedly checking them against the full data set.businesssciencedaily+1

For example, after interviewing EFL students, a researcher may code comments such as “I am afraid of making mistakes,” “my friends laugh,” and “I avoid answering” into a theme called fear of negative evaluation.

Examples in linguistics and ELT

Research focusPossible qualitative designData and analysis
Students’ experiences of speaking anxietyPhenomenological studyInterviews with EFL students; themes such as fear of mistakes, peer judgment, and low confidence
Teacher questioning in English classroomsClassroom ethnography or case studyObservation notes, lesson recordings, transcripts; analysis of question types, wait time, and student responses
Learners’ beliefs about vocabulary learningCase studyInterviews, learning diaries, and reflective journals; thematic analysis of learning strategies
Use of English in multilingual classroomsEthnographyField notes, recordings, and interviews; analysis of code-switching, language choice, and identity
Teacher professional developmentNarrative inquiryTeacher stories and interviews; analysis of how teachers interpret changes in their teaching
Digital tools in ELTCase studyObservations of online lessons, student reflections, and teacher interviews; themes on engagement and barriers

A concrete ELT example: a researcher studies why low-proficiency senior high school students avoid speaking English. They observe lessons, interview eight students and two teachers, collect students’ reflective journals, then identify themes such as fear of peer criticism, limited vocabulary, teacher correction practices, and classroom participation norms. The findings could help design a more supportive speaking classroom.

Scholarly foundations

  • Creswell emphasizes meaning-making, natural settings, emergent procedures, inductive analysis, and interpretation.leedsbeckett.ac+1

  • Bogdan and Biklen emphasize the naturalistic, descriptive, process-oriented, inductive, and meaning-centered nature of educational qualitative research.idr.uin-antasari.ac+1

  • Miles and Huberman provide a practical model for managing and analyzing qualitative data through condensation, display, and verification.theculturelab.umd+1

  • Kothari highlights the use of non-numerical data, such as interviews and observations, to achieve depth and contextual understanding.nuevo.ieem.edu

  • Douglas Brown is relevant in ELT because his work on language learning and teaching encourages researchers to examine learners’ affective factors, classroom interaction, motivation, and communicative language use—areas well suited to qualitative inquiry. His perspective supports studying language learning as a human, contextual, and interactive process rather than merely as measurable test performance.

In short, qualitative research in linguistics and ELT asks how and why language learning and teaching happen as they do, using rich contextual evidence to explain participants’ experiences and meanings.

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