NEA Planning for Geography Fieldwork Investigation

Successfully completing your Geography Non-Examined Assessment (NEA)—the independent investigation—is a defining part of your A-Level. It’s your chance to apply geographical theory to the real world, demonstrating your skills as a researcher. A high-quality submission hinges not on luck, but on meticulous planning.

Crafting a Powerful Geographical Question

Everything in your NEA flows from your research question. A weak question leads to a weak investigation, no matter how well you execute it. A powerful question is focused, geographical, and investigable.

First, ensure your question has a clear geographical focus. This means it must engage with core geographical concepts, theories, or models. Are you examining changing place identity, the efficiency of a coastal management scheme, or variations in urban microclimates? Your question should explicitly link to the syllabus, such as "To what extent does the demographic and cultural character of Spitalfields align with the Index of Dissimilarity model?" This directly engages with concepts of place, change, and quantitative models.

Second, your question must be investigable within your constraints. You need to be able to collect primary data to answer it. A question like "How is climate change affecting Antarctica?" is too vast and logistically impossible. A refined, investigable version could be: "How effective are hard engineering strategies in managing rates of longshore drift along Chesil Beach?" This is place-specific, ties to a clear physical process, and allows for measurable data collection (e.g., sediment size surveys, groyne measurements). Use a "To what extent...?" or "How does...?" format to invite analysis rather than a simple yes/no answer.

Designing a Robust Methodology and Sampling Strategy

Your methodology is your blueprint for data collection. It must be justified, replicable, and ethically sound. Examiners look for a clear rationale behind every choice you make.

Begin by outlining your primary data collection techniques. For each method, explain why it is the best way to gather data relevant to your question. If investigating perceptions of urban regeneration, you might justify a stratified random sample of questionnaires to ensure all age groups are represented, paired with environmental quality assessments using a systematic transect to collect objective physical data. Always state the equipment used (e.g., a clinometer, a Likert scale) and how it was employed to ensure accuracy and reliability.

Your sampling strategy is a critical component. Avoid haphazard "convenience" sampling. Choose a strategy that enhances the validity of your data. For a river study, you might use systematic sampling (e.g., every 50 metres downstream) to show changing patterns. For a land use survey, stratified sampling of different urban zones ensures all types are covered. Include a clear, annotated map or diagram showing your sample sites. Justify the number of samples by explaining you conducted a pilot study to identify data variance and determine a sufficient sample size to be representative.

Structuring the Write-Up: Aligning with Assessment Criteria

The write-up is where you synthesize your work. Structure it clearly to match the examiner's mark scheme, which typically assesses Introduction, Methodology, Data Presentation, Analysis, Conclusion, and Evaluation.

Introduction & Theoretical Context: Start by defining the geographical context of your study location and succinctly stating your aim and question. Crucially, embed your investigation within relevant geographical theory. If studying a central business district (CBD), discuss Bid Rent Theory and the Concentric Zone Model. This shows you understand the broader conceptual framework your fieldwork sits within.

Data Presentation & Analysis: This is where many students lose marks by separating description from analysis. Data presentation should be sophisticated and varied—use annotated maps, scatter graphs with lines of best fit, and complex radial diagrams for wind data. Immediately follow each presentation technique with analysis. Don't just state that "the graph shows a negative correlation." Analyze it: "The strong negative correlation ($r=-0.87$) between distance from the river mouth and sediment size, shown in Figure 3, strongly supports the theoretical principle of sediment sorting via longshore drift. The anomalous point at Site 4 can be explained by the presence of a groyne disrupting the natural process..." Always link your findings back to your geographical theory and your initial question.

Conclusion & Evaluation: Your conclusion must directly answer your research question, summarising the key evidence from your analysis. Avoid introducing new information. The evaluation is your chance to demonstrate critical thinking. Honestly assess the limitations of your methodology, sampling, and data quality. Did weather affect your river discharge measurements? Did questionnaire bias skew your results? Most importantly, for each limitation, propose a specific, realistic improvement for a future study. This shows reflexivity and a deep understanding of the research process.

Common Pitfalls

1. The Vague Question: Starting with a topic like "Tourism in Brighton" instead of a precise question.

• Correction: Use your initial topic to formulate a focused, arguable question. "To what extent does tourism impact the environmental quality of Brighton's seafront, as measured by litter density and noise pollution levels?"

1. Methodology as a List: Writing your methodology as a simple bullet-point list of what you did.

• Correction: Write in prose, justifying every step. Explain why you chose a systematic sample over a random one, why you used a quadrat, and how you ensured safety and ethical compliance.

1. Description Masquerading as Analysis: Stating what a graph shows without explaining what it means geographically.

• Correction: Use the "SEE" principle: State the trend (e.g., "Sediment size decreases downstream"), Provide Evidence ("Figure 2 shows the mean particle size fell from 45mm to 12mm over 200m"), and Explain geographically ("This is due to attrition and selective transport, supporting the theoretical model of fluvial competence").

1. Weak Evaluation: Stating "My sample size was too small" as a generic limitation.

• Correction: Be specific and constructive. "A sample size of 30 questionnaires, while manageable, may not fully capture the demographic diversity of the ward. To improve this, a larger stratified sample of 100+ across all census output areas would increase representativeness and the validity of conclusions regarding social perceptions."

Summary

• Your research question is the cornerstone; it must be sharply focused, explicitly geographical, and answerable through primary data collection.
• Your methodology requires detailed justification for every choice, including a deliberate sampling strategy and a clear plan for ensuring data accuracy and ethical practice.
• The write-up must be strategically structured to hit all assessment criteria, with sophisticated data presentation seamlessly integrated with analytical commentary that links findings back to geographical theory.
• Analysis goes beyond description; it explains what your data means in the context of geographical concepts and your initial question.
• A strong evaluation candidly assesses limitations and proposes specific, realistic improvements, demonstrating sophisticated reflective thinking essential for top marks.
• View your NEA as a coherent narrative from question to conclusion, where each section logically supports the next, building a compelling geographical argument.