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How is a directed geological field investigation planned and carried out?

A directed field investigation answers a geological problem or question through a planned enquiry: forming a question or hypothesis, choosing a suitable site and methods, collecting data safely and systematically (measurements, samples, logs and sketches), recording it accurately and located, then analysing the data and drawing a justified conclusion while evaluating the reliability and limitations of the method; a minimum of two days of fieldwork, including such an investigation, is required.

A focused answer to the Eduqas GCSE Geology statement on the directed field investigation. Covers forming a question or hypothesis, choosing the site and methods, collecting and recording data safely and systematically, analysing it to reach a justified conclusion, and evaluating the reliability and limitations, within the required fieldwork.

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What this dot point is asking

Eduqas wants you to describe how a directed field investigation answers a geological problem through a planned enquiry: forming a question or hypothesis, choosing a suitable site and methods, collecting data safely and systematically (measurements, samples, logs and sketches), recording it accurately and located, then analysing it to reach a justified conclusion while evaluating the reliability and limitations. You also need to know that a minimum of two days of fieldwork, including such an investigation, is required. The exam tests this as planning and evaluation, not just description.

The answer

What a directed field investigation is

A directed field investigation is a structured enquiry that sets out to answer a specific geological question using field evidence, rather than just describing an area. It follows the scientific method applied to geology, and it is the kind of investigation Eduqas requires you to carry out at least once during the course.

Planning the enquiry

Good planning is where most of the marks are:

  • Form a question or hypothesis. State a clear, testable prediction (for example "pebbles become more rounded along the direction of longshore drift"), ideally with a null version (no change).
  • Choose a suitable site. Pick a location where the question can actually be tested and that is safe and accessible.
  • Choose appropriate methods. Decide what to measure or collect and how (a consistent technique), so the data will answer the question.
  • Plan the sampling. Decide how many samples and sites, and how to select them without bias (for example every fifth pebble), so the data are representative.

Collecting and recording data

In the field, data must be gathered safely and systematically:

  • take measurements, samples, graphic logs and field sketches as the question requires;
  • use the same method at every site so results are comparable;
  • record everything in a clear table, located by grid reference and dated, measuring objectively (evidence, not expectation);
  • work safely, mindful of tides, unstable faces, slippery rock and weather.

Analysing and concluding

Back from the field, the data are analysed:

  • summarise with tables, graphs and simple statistics (mean, range, percentages);
  • look for patterns or trends that test the hypothesis;
  • draw a justified conclusion that refers explicitly to the data and states whether the hypothesis is supported.

Evaluating reliability and limitations

A conclusion is only as good as the data behind it, so you must evaluate:

  • Reliability: were measurements repeated, the method kept consistent, and enough samples and sites used?
  • Limitations: small sample size, measurement error or subjectivity, too few or biased sites, restricted access, and uncontrolled variables.
  • Improvements: how the investigation could be made more reliable (more samples, more sites, a more objective method).

Evaluation shows how much confidence to place in the conclusion and is heavily rewarded in the exam.

Examples in context

Example 1. Roundness along a beach. A classic investigation tests whether pebbles round downdrift: measure roundness at several located sites with a consistent method, plot the trend, conclude, and evaluate sample size and the subjectivity of judging roundness.

Example 2. Comparing two rock units. An investigation might compare the grain size of two sandstone units to infer their environments, collecting measured samples from each, analysing the means and ranges, and evaluating how representative the sampling was.

Try this

Q1. State what should be formed at the start of a directed field investigation. [1 mark]

  • Cue. A clear, testable question or hypothesis.

Q2. Explain why a large, unbiased sample improves a field investigation. [2 marks]

  • Cue. A large, unbiased sample is more representative of the whole, so the results and conclusion are more reliable and less affected by chance or selection bias.

Q3. Give one limitation a student might note when evaluating a field investigation. [1 mark]

  • Cue. Any one of: small sample size; measurement error or subjectivity; too few sample sites; restricted or unsafe access; uncontrolled variables.

Exam-style practice questions

Practice questions written in the style of WJEC Eduqas exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

Eduqas 20226 marksA student plans a field investigation to test whether pebbles on a beach become more rounded along the direction of longshore drift. Describe how they should plan and carry out the investigation to make it reliable.
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Take the enquiry through its stages: question, method, sampling, recording and reliability.

The question or hypothesis
State a clear, testable hypothesis: pebbles become more rounded in the direction of longshore drift (and a null version: there is no change).
The method and sites
Choose several sample points along the beach in the drift direction, located by grid reference, and at each measure the roundness of a set of pebbles using a consistent method (for example a roundness chart or measuring corners).
Sampling fairly
Take a large enough sample at each site (say 20 to 30 pebbles) and select them without bias (for example every fifth pebble along a line), to make the data representative.
Recording
Record results in a table, located and dated, measuring objectively and safely (tides, slippery rocks).
Reliability
Repeat measurements, keep the method identical at every site, and use enough sites and pebbles. Markers reward a testable hypothesis, located sample sites, a consistent unbiased sampling method, accurate recording, and steps that improve reliability."
Eduqas 20195 marksAfter collecting field data, a student concludes that their hypothesis is supported. Explain why they must also evaluate the reliability and limitations of their investigation, and give two examples of limitations they might mention.
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Explain the purpose of evaluation, then give two valid limitations.

Why evaluate. A conclusion is only as trustworthy as the data behind it. Evaluating the reliability and limitations shows how much confidence to place in the conclusion, identifies sources of error, and suggests how the investigation could be improved. Without it, a conclusion could rest on flawed or insufficient data.

Two limitations (any two). A small sample size, which may not be representative; measurement error or subjectivity (for example judging roundness by eye); too few sample sites; uneven or biased sampling; the difficulty of access or safety limiting where data could be taken; and uncontrolled variables (other processes affecting the result).

Markers reward the purpose of evaluation (judging confidence, finding errors, improving the method) and two genuine limitations such as small sample size, measurement error, or too few or biased sample sites."

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