IB Geography: Internal Assessment Fieldwork

The Internal Assessment (IA) is your opportunity to act as a real geographer, transforming curiosity about a place or pattern into a structured, evidence-based investigation. Worth 25% of your final HL and 20% of your SL grade, this independent fieldwork project is not just a report; it’s a demonstration of your ability to apply geographic thinking to the real world. Mastering it requires meticulous planning, rigorous execution, and critical reflection—all skills that define the discipline itself.

Formulating a Geographic Research Question

Your entire IA hinges on the quality of your geographic research question. This is not a general topic but a specific, focused inquiry that guides your data collection and analysis. A strong question is geographically significant, manageable in scope, and linked to a clear theoretical framework from the syllabus.

Start by identifying a broad theme that interests you, such as urban sustainability, coastal processes, or socio-economic inequality. Then, narrow it down to a specific location and a measurable relationship. For example, instead of "studying urban sprawl," you might ask: "To what extent does pedestrian flow density correlate with the diversity of retail land use along High Street?" This question is spatial, implies data collection (pedestrian counts, land use surveys), and connects to concepts of central place theory or urban morphology. Your question should also imply a potential for evaluation, allowing you to discuss the success of a management strategy or the validity of a geographic model in your chosen context.

Selecting Fieldwork Methods and Sampling Strategies

Once your question is set, you must design a methodology to answer it. This involves selecting primary data collection techniques and a defensible sampling strategy. Your methods must be appropriate for the data you need. Common techniques include environmental quality surveys, questionnaires, land use transects, pedestrian or traffic counts, and physical measurements like beach profiles or river discharge.

Choosing how to collect this data—your sampling strategy—is crucial for validity. Random sampling, where each site or person has an equal chance of selection, reduces bias but can be logistically challenging. Systematic sampling, such as taking measurements every 50 meters along a transect, ensures coverage but may align with an unseen pattern. Stratified sampling divides the population into subgroups (e.g., different urban zones) and samples proportionally from each, ensuring all key areas are represented. Justify your choice explicitly. For instance, "A systematic sampling method was used along the river's course to ensure data captured changes from source to mouth."

Collecting Primary Data and Presenting Raw Information

Data collection is the practical execution of your plan. This section of your report must provide a clear, replicable account of how you collected your data. Include specifics: the dates, times, weather conditions, equipment used (e.g., quadrats, clinometers, survey sheets), and any pilot studies conducted to refine your techniques. Present your raw data clearly in an appendix, using tables, annotated field sketches, or maps of data collection points.

The key here is transparency and consistency. If you are using surveys, include a blank copy in the appendix. If you are measuring gradients, state how many measurements you took at each site to ensure reliability. This section proves the fieldwork happened and allows the examiner to assess the quality of your primary evidence. A well-organized raw data appendix is a hallmark of a professional investigation.

Analysing Results: Statistical and Cartographic Techniques

Analysis is where you transform raw data into processed information to answer your research question. You must use appropriate geographic techniques for both quantitative and qualitative data. For numerical data, this means employing statistical techniques. Start with descriptive statistics: measures of central tendency (mean, median) and dispersion (range, interquartile range, standard deviation). Then, consider inferential statistics to test relationships. Spearman's Rank Correlation ($r_s$) is a common IB test to assess the strength and direction of a relationship between two variables. For example, you might test the correlation between distance from the CBD and pedestrian density. The formula is:

$$r_s=1-\frac{6\sum d^2}{n(n^2-1)}$$

where $d$ is the difference between ranks and $n$ is the number of data pairs. Always state your null hypothesis, show your worked calculations in an appendix, and interpret the result in the context of your geographic question.

Alongside statistics, cartographic techniques are essential. Processed data should be presented in detailed graphs (scatter plots, bar charts, divided circles) and maps (chloropleth, isoline, flow-line). Every graphic must have a title, key, labeled axes, and consistent scales. The most effective analysis synthesizes statistical findings with mapped patterns, explaining what the data shows and, crucially, why from a geographic perspective.

Evaluating Methodology and Concluding the Investigation

Evaluation is not a list of mistakes but a critical appraisal of the strengths and limitations of your entire process. Assess each stage: Was your sampling method the best choice given time constraints? Could your questionnaire questions have been misinterpreted? Did weather affect your physical measurements? How did sample size or time of day influence your results? Propose specific, realistic improvements for a future study. This demonstrates higher-order thinking and reflexivity.

Your conclusion must directly and succinctly answer your geographic research question, based on the evidence presented. Avoid introducing new information. Instead, synthesize your key findings: "The strong positive correlation ($r_s=+0.87$) supports the hypothesis that..." Finally, consider the broader geographic implications of your study. How do your local findings relate to wider theories or models? What might they suggest for future planning or management in your study area?

Common Pitfalls

1. The Vague Research Question: A question like "How does tourism affect a place?" is unmanageable. Correction: Narrow it to a specific location and measurable outcome: "To what extent has the growth of souvenir shops displaced essential retail services in the Old Town district?"

1. Description Instead of Analysis: Simply presenting graphs and maps without explaining what they mean geographically. Correction: For every graph, write at least two sentences of analysis. Describe the trend ("pedestrian density decreases exponentially with distance from the main square"), then explain it using geographic theory ("this aligns with Burgess's concentric zone model, where peak accessibility at the core attracts the highest footfall").

1. Ignoring Safety and Ethics: Failing to address these can invalidate an otherwise good study. Correction: In your methodology, include a brief but specific section on ethical considerations (e.g., informed consent for surveys, anonymity of respondents) and risk assessment (e.g., working in pairs near water, wearing high-visibility clothing near roads).

1. Separating Evaluation from the Conclusion: Writing a generic "my project was good but I ran out of time" evaluation. Correction: Integrate evaluation throughout your analysis by commenting on data reliability. Have a dedicated evaluation section that systematically critiques each methodological step and links limitations directly to how they may have impacted your results and conclusion.

Summary

• Your Geographic Research Question is the engine of the IA; it must be focused, measurable, and rooted in syllabus concepts to guide a structured investigation.
• A robust Methodology explicitly justifies your choice of primary data collection techniques and sampling strategy (random, systematic, or stratified), ensuring the validity and replicability of your fieldwork.
• Effective Analysis requires the application of both appropriate statistical techniques (like Spearman's Rank) and cartographic techniques to process data, with clear interpretation that links findings back to geographic theory.
• Evaluation is a critical assessment of your methodology's strengths and limitations, proposing specific improvements, while the Conclusion provides a direct, evidence-based answer to your initial research question.
• The entire report must be presented as a coherent, professionally formatted document with all raw and processed data clearly presented in appendices, meeting the specific requirements of the IB assessment criteria.