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A Level H2 Geography Fieldwork Quiz

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A Level H2 Geography AI Generated Generated by Qwen3.6 Plus Updated 2026-06-03

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Questions

A-Level Geography H2 Quiz - Fieldwork

Name: __________________________
Class: __________________________
Date: __________________________
Score: _______ / 60

Duration: 60 Minutes
Total Marks: 60

Instructions:

Answer all 20 questions.
Marks for each question are indicated in brackets [ ].
This quiz focuses on Geographical Investigation skills: Research Design, Data Collection, Presentation, Analysis, and Evaluation.
Use specific geographical terminology where appropriate.

Section A: Research Design & Methodology (Questions 1–5)

1. A student is investigating the variation in infiltration rates across a woodland area.
State one appropriate null hypothesis for this investigation.
[1]

2. Explain why systematic sampling might be more appropriate than random sampling when investigating changes in river channel characteristics from source to mouth.
[2]

3. A group of students plans to measure pedestrian flow in a Central Business District (CBD).
Identify two variables that must be controlled to ensure the data collected is reliable.
[2]

4. Define the term 'operationalisation' in the context of geographical fieldwork.
[1]

5. A student wishes to investigate the impact of distance from a main road on noise levels in an urban residential area.
Suggest one piece of secondary data that could help refine the sampling strategy before primary data collection begins.
[1]

Section B: Data Collection Techniques (Questions 6–10)

6. Describe the correct procedure for measuring river velocity using a flowmeter.
[3]

7. When conducting a bi-polar evaluation of environmental quality in a settlement, explain one advantage of using this method over a simple Likert scale.
[2]

8. A student is measuring beach sediment size using a ruler.
Identify one limitation of this technique and suggest how it affects the data accuracy.
[2]

9. Explain why it is important to take repeat readings (at least three) at each sampling site when collecting primary data such as temperature or pH levels.
[2]

10. You are investigating soil depth on a hillslope.
Name the appropriate instrument for this measurement and describe one precaution to ensure the measurement is accurate.
[2]

Section C: Data Presentation & Analysis (Questions 11–15)

11. A student has collected ordinal data on 'perceived safety' (rated 1–5) at 10 different locations.
State the most appropriate statistical test to determine if there is a correlation between 'distance from police station' and 'perceived safety'.
[1]

12. Explain why a scattergraph is the most suitable diagram to present the relationship between two continuous variables, such as river width and river depth.
[2]

13. A calculated Spearman’s Rank Correlation Coefficient ( $R_s$ ) value is +0.85.
Interpret this value in the context of a geographical investigation.
[2]

14. When presenting spatial data showing the distribution of land use in a city, explain why a choropleth map might be preferred over a pie chart.
[2]

15. A student calculates the mean infiltration rate for a grassy area. The data contains one extreme outlier (a significantly higher value due to a measurement error).
Explain how this outlier affects the mean and suggest a more robust measure of central tendency to use instead.
[2]

Section D: Evaluation & Conclusion (Questions 16–20)

16. Distinguish between reliability and validity in geographical fieldwork.
[2]

17. A student concludes that "As distance from the city centre increases, house prices decrease."
However, the data shows a cluster of high-priced houses in the suburbs.
Explain how this anomaly might affect the validity of the student’s conclusion.
[2]

18. Identify one ethical consideration when conducting human geography fieldwork involving interviews with local residents.
[1]

19. A investigation into river pollution used water quality test strips.
Evaluate the accuracy of this method compared to sending samples to a laboratory for analysis.
[2]

20. "Primary data is always superior to secondary data in geographical investigations."
To what extent do you agree with this statement? Justify your answer.
[3]

Answers

A-Level Geography H2 Quiz - Fieldwork (Answer Key)

1.
Answer: There is no significant correlation/difference between [variable A] and [variable B].
Example: "There is no significant difference in infiltration rates between the north-facing and south-facing slopes."
Marking: [1] for a clear null hypothesis statement (no relationship/difference).

2.
Answer:

Systematic sampling ensures even coverage of the entire longitudinal profile (source to mouth). [1]
Random sampling might miss key transitional zones or cluster sites in one area, failing to capture the continuous change downstream. [1]
Marking: [1] for even coverage/gradient capture, [1] for critique of random sampling in this context.

3.
Answer: Any two of the following:

Time of day (peak vs. off-peak).
Day of the week (weekday vs. weekend).
Weather conditions (rain affects pedestrian flow).
Duration of count (e.g., always 5 minutes).
Marking: [1] per valid variable, max [2].

4.
Answer: Operationalisation is the process of defining how a abstract concept or variable will be measured or observed in the field.
Example: Defining "environmental quality" by specific indicators like litter count or noise level.
Marking: [1] for clear definition linking concept to measurement.

5.
Answer: Any one of:

A map showing road hierarchy/traffic volume data.
Census data showing population density.
Land use maps.
Marking: [1] for relevant secondary source.

6.
Answer:

Place the flowmeter (impeller) in the water at a consistent depth (e.g., 60% of total depth or just below surface for shallow streams). [1]
Ensure the impeller faces directly into the current (upstream). [1]
Record the velocity reading after it stabilizes (or count rotations for a set time, e.g., 30 seconds, and calculate). [1]
Marking: [1] per correct procedural step.

7.
Answer:

Bi-polar evaluation allows for the assessment of both positive and negative aspects of the environment simultaneously (e.g., +3 for clean, -3 for dirty). [1]
It provides a more nuanced view of environmental quality than a simple Likert scale which might only measure intensity of one attribute. [1]
Marking: [1] for identifying dual nature, [1] for comparison/nuance.

8.
Answer:

Limitation: Measuring only the longest axis (length) ignores the shape (sphericity/roundness) and volume of the pebble. [1]
Effect: This may lead to inaccurate comparisons of sediment transport energy, as a flat long pebble behaves differently than a spherical one of the same length. [1]
Marking: [1] for limitation, [1] for impact on data/accuracy.

9.
Answer:

To identify and remove anomalies/outliers caused by random errors. [1]
To calculate a mean/average, which increases the reliability and representativeness of the data for that site. [1]
Marking: [1] for anomaly detection, [1] for reliability/mean calculation.

10.
Answer:

Instrument: Soil auger or metal probe/ruler. [1]
Precaution: Ensure the probe is inserted vertically/perpendicular to the slope to avoid measuring a diagonal distance (hypotenuse) rather than true vertical depth. [1]
Marking: [1] for instrument, [1] for precaution.

11.
Answer: Spearman’s Rank Correlation Coefficient.
Marking: [1] for correct test name. (Note: Data is ordinal/ranked).

12.
Answer:

Scattergraphs show the relationship/correlation between two continuous variables. [1]
They allow for the identification of trends (positive/negative) and anomalies/outliers visually. [1]
Marking: [1] for relationship/correlation, [1] for trend/anomaly identification.

13.
Answer:

Indicates a strong positive correlation. [1]
As one variable increases, the other variable also increases consistently. [1]
Marking: [1] for strength/direction, [1] for interpretation of relationship.

14.
Answer:

Choropleth maps show spatial distribution and patterns across a geographic area. [1]
Pie charts only show proportions at a single point/location and cannot display spatial continuity or regional trends. [1]
Marking: [1] for spatial advantage, [1] for limitation of pie chart in this context.

15.
Answer:

The outlier will skew the mean, making it unrepresentative of the typical infiltration rate. [1]
Use the median, as it is not affected by extreme values. [1]
Marking: [1] for effect on mean, [1] for alternative measure.

16.
Answer:

Reliability: The consistency of the results (can the experiment be repeated with similar results?). [1]
Validity: The accuracy/truthfulness of the data (does it actually measure what it claims to measure?). [1]
Marking: [1] for each correct definition.

17.
Answer:

The anomaly suggests that other factors (e.g., housing quality, school catchment, green space) influence price more than distance alone. [1]
This weakens the validity of a simple linear conclusion, indicating the model is too simplistic or the sample size/location selection was biased. [1]
Marking: [1] for identifying confounding factors, [1] for impact on conclusion validity.

18.
Answer: Any one of:

Informed consent (participants must know how data is used).
Anonymity/Confidentiality (protecting identities).
Right to withdraw.
Safety of both student and participant.
Marking: [1] for valid ethical consideration.

19.
Answer:

Test strips are less accurate/precise than laboratory analysis; they provide a range or approximate value rather than an exact concentration. [1]
However, they allow for immediate results in the field, whereas lab analysis has a time lag and potential for sample degradation during transport. [1]
Marking: [1] for accuracy critique, [1] for contextual evaluation (speed/convenience).

20.
Answer:

Agreement: Primary data is specific to the research question, current, and collected under controlled conditions by the student. [1]
Disagreement: Secondary data (e.g., census, historical maps) allows for larger spatial/temporal scales that are impossible for a student to collect personally; it is also cost-effective. [1]
Conclusion: Primary data is superior for specific, small-scale hypotheses, but a robust investigation often requires secondary data for context and broader patterns. Integration is key. [1]
Marking: [1] for argument for primary, [1] for argument for secondary, [1] for balanced conclusion/synthesis.