Investigation methodology and data: choosing a method (quantitative, qualitative or mixed), selecting and gathering data, sampling, transcription, ethics, and writing a transparent, repeatable methodology (AO1 and AO3 in H470/03 Task 1).

What this dot point is asking

A language investigation is only as good as its method: the data must suit the question, be gathered soundly and ethically, and be analysed in a transparent, repeatable way. OCR Component 03 assesses the methodology within the AO1 and AO3 of Task 1. This dot point covers choosing a method (quantitative, qualitative or mixed), selecting and gathering data, sampling, transcription, ethics, and writing a methodology that underpins a sound study.

The answer

The methodology succeeds when it is justified, ethical, transparent and fit for the research question. The unifying idea is soundness: a study's conclusions are only as trustworthy as the method that produced them, so the methodology must show that the data genuinely bears on the question and was gathered and analysed properly. A clear, justified method is itself part of the AO1 mark and grounds the AO3 reading of context.

Choosing a method

The method must suit the question, and naming the approach is part of the rationale.

• Quantitative. Counting and measuring features (frequencies of a form, lengths, ratios), suited to questions about how much or how often, and to comparison.
• Qualitative. Close analysis of a smaller data set, suited to questions about how meaning is made and how features function in context.
• Mixed methods. Combining the two, for example counting a feature and then analysing examples closely, often the most powerful for a small investigation.

Selecting and gathering data

The data is the foundation, and its selection must be justified.

• Suitability. The data must actually bear on the research question; choose a data type (transcripts, written texts, online posts, historical texts) that can answer it.
• Sampling. How and why the particular data was chosen, and the limits of the sample (a small or convenient sample cannot support broad claims).
• Transcription. Where spoken data is used, the conventions for transcribing it (and the detail required, including prosody where relevant).

Write a transparent, repeatable methodology

The methodology should be written so that a reader understands exactly what was done and could, in principle, repeat it. State the question, the data and its rationale, the sampling, the analytical approach, and the ethical and practical decisions, and be honest about the limits. This transparency is part of the AO1 mark and grounds the AO3 reading of how context shapes the data.

Examples in context

The investigation is the student's own, so the moves below are illustrative.

A model methodology rationale. "An investigation into the language of a sports commentary might adopt a mixed method: a quantitative count of dynamic verbs and present-tense forms across a set period of commentary, to establish a pattern, followed by qualitative close analysis of selected moments to read how the language constructs excitement. The data, a transcribed broadcast segment, suits a question about commentary style, and the methodology would state the sampling (which match, which minutes, and why), the transcription conventions, and the limits of a single-segment sample." This justifies a method matched to the question.

A model ethics paragraph. "Where an investigation records private conversation, the methodology must address ethics directly: it would explain that participants gave informed consent to be recorded and that names and identifying details were anonymised in the transcript, and acknowledge that recording may itself affect how naturally people speak (the observer's paradox), a limit on the data. Treating ethics as part of the design, not a formality, both meets OCR's requirements and strengthens the study." This addresses ethics as design.

Try this

Q1. What is the difference between quantitative and qualitative methods? [2 marks]

• Cue. Quantitative methods count and measure features (suited to how much or how often); qualitative methods closely analyse a smaller data set (suited to how meaning is made).

Q2. Why is ethics part of the investigation's design? [2 marks]

• Cue. Where data involves people, consent and anonymisation are required, and the ethics shape what data can be gathered and its limits; it is not an afterthought.

Q3. Design and justify a methodology for an investigation into a chosen area of language, explaining your data selection and analytical approach. [18 marks]

• What the marker wants. A justified method matched to the research question, a clear and transparent account of data selection, sampling, analysis and ethics, written so the study could be repeated.

A note on the NEA

This guide is AI-written and not individually human-reviewed. The NEA requirements and the ethical guidance are set by OCR and administered by your centre; confirm them against the current H470 specification and the NEA guidance, and agree your method with your teacher before collecting data.