🧠 Test Your Knowledge!
Fieldwork Skills » Bi-polar Surveys and Questionnaires
What you'll learn this session
Study time: 30 minutes
- What bi-polar surveys and questionnaires are and how they differ
- How to design effective bi-polar surveys for geographical fieldwork
- Techniques for collecting, recording and presenting bi-polar data
- Advantages and limitations of using bi-polar surveys
- How to analyse and interpret bi-polar survey results
- Real-world applications in geographical investigations
Introduction to Bi-polar Surveys and Questionnaires
Bi-polar surveys and questionnaires are essential tools for geographers conducting fieldwork. They allow us to collect data about people's opinions, perceptions and attitudes towards places, environments and geographical issues in a structured way.
Key Definitions:
- Bi-polar Survey: A data collection method that uses opposing statements at each end of a numerical scale (usually 1-5 or 1-7) to measure opinions or perceptions about places or environments.
- Questionnaire: A research tool consisting of a series of questions designed to gather information from respondents about their views, experiences or knowledge.
- Environmental Quality Survey (EQS): A type of bi-polar survey specifically designed to assess the quality of an environment using multiple criteria.
📝 Bi-polar Surveys
Bi-polar surveys use opposing statements with a numerical scale in between. For example:
"Buildings are attractive" (5) --- (4) --- (3) --- (2) --- (1) "Buildings are unattractive"
The surveyor rates each location or feature on this scale, providing a quantitative measure of qualitative judgements.
📄 Questionnaires
Questionnaires can include various question types:
- Multiple choice
- Open-ended
- Ranking questions
- Likert scales
They're useful for gathering opinions from local residents, visitors, or stakeholders about geographical issues.
Designing Effective Bi-polar Surveys
A well-designed bi-polar survey is crucial for collecting reliable and valid data. Here's how to create one:
Steps to Create a Bi-polar Survey
🎯 Define Your Objectives
Clearly identify what you want to measure. For example, if studying urban environments, you might want to assess building quality, traffic levels and green space.
📈 Create Paired Statements
Develop opposing pairs of statements that represent positive and negative aspects of what you're measuring. Make sure they're clear and unambiguous.
📏 Choose Your Scale
Decide on a numerical scale (typically 1-5 or 1-7). Ensure all team members understand how to apply the scale consistently.
Example of a Bi-polar Survey Form
Here's what a typical bi-polar survey form for assessing environmental quality might look like:
Positive Statement (5) |
Rating Scale |
Negative Statement (1) |
Buildings are well-maintained |
5 - 4 - 3 - 2 - 1 |
Buildings are in poor condition |
Streets are clean |
5 - 4 - 3 - 2 - 1 |
Streets are littered |
Traffic flow is light |
5 - 4 - 3 - 2 - 1 |
Traffic congestion is heavy |
Plenty of green spaces |
5 - 4 - 3 - 2 - 1 |
Lack of green spaces |
Low noise levels |
5 - 4 - 3 - 2 - 1 |
High noise levels |
Collecting and Recording Bi-polar Survey Data
When conducting your bi-polar survey in the field, follow these guidelines for reliable data collection:
📍 Sampling Strategies
Choose appropriate sampling methods:
- Systematic sampling: Survey locations at regular intervals (e.g., every 100m along a transect)
- Stratified sampling: Survey different zones or areas proportionally
- Random sampling: Use random number generators to select survey points
Your choice depends on your research question and the area you're studying.
📊 Recording Techniques
Effective ways to record your data:
- Paper forms with clear tables
- Digital apps or spreadsheets on tablets/phones
- Voice recordings (with later transcription)
- Photographs to support your ratings
Always include location details, date, time and weather conditions.
Presenting and Analysing Bi-polar Survey Data
After collecting your data, you'll need to present and analyse it effectively:
Data Presentation Methods
- Radar/Spider Diagrams: Excellent for showing multiple criteria at once. Each axis represents a different survey criterion.
- Bar Charts: Good for comparing scores across different locations.
- Choropleth Maps: Useful for showing spatial patterns by shading areas according to their scores.
- Scatter Graphs: Can show relationships between different variables (e.g., environmental quality vs. distance from city centre).
Case Study Focus: Urban Environmental Quality Survey
Students in Birmingham conducted a bi-polar survey to compare environmental quality in the city centre, suburbs and urban fringe. They used 10 criteria including building quality, green space, traffic levels and noise pollution.
They surveyed 5 locations in each zone using a 1-5 scale. The results showed that the urban fringe scored highest (average 4.2/5), followed by suburbs (3.4/5), with the city centre scoring lowest (2.3/5). The biggest differences were in green space availability and noise levels.
They presented their findings using radar diagrams for each zone and a choropleth map showing the overall environmental quality across the city.
Analysing Bi-polar Survey Results
When analysing your data, consider these approaches:
- Calculate average (mean) scores for each criterion and location
- Look for patterns and trends in your data
- Compare results between different areas or zones
- Consider how your results relate to geographical theories or models
- Think about how human and physical factors might explain your findings
Advantages and Limitations of Bi-polar Surveys
✅ Advantages
- Provides quantitative data from qualitative judgements
- Relatively quick and easy to conduct
- Allows comparison between different locations
- Can be used by multiple surveyors
- Produces data that can be analysed statistically
- Visual presentation methods are effective
❌ Limitations
- Subjective - different surveyors may score differently
- Simplifies complex environments into numerical values
- May not capture the reasons behind the ratings
- Time of day, weather, or season can affect results
- Limited depth compared to interviews or observations
- Requires careful design to avoid bias
Tips for Successful Bi-polar Surveys
To ensure your bi-polar survey produces reliable and useful data:
- Pilot your survey before the main fieldwork to check for problems
- Train all surveyors to ensure consistent application of the rating scale
- Take photographs at each survey point to support your ratings
- Include a mix of criteria covering different aspects of the environment
- Consider combining with other methods like interviews or pedestrian counts
- Record contextual information like weather conditions and time of day
- Use clear, specific statements rather than vague or ambiguous ones
Examiner's Tip
In your iGCSE Geography exam, you might be asked to:
- Explain how you would design and conduct a bi-polar survey
- Evaluate the strengths and weaknesses of bi-polar surveys
- Interpret data presented in radar diagrams or other formats
- Suggest improvements to a given bi-polar survey methodology
Always link your answer to specific geographical investigations and show understanding of both the practical application and the limitations of the method.
Summary
Bi-polar surveys are valuable tools for geographical fieldwork, allowing you to collect quantitative data about environmental quality and perceptions of place. By carefully designing your survey, collecting data systematically and analysing the results thoughtfully, you can gain valuable insights into spatial patterns and variations in geographical features.
Remember that bi-polar surveys work best when combined with other fieldwork methods to provide a more complete understanding of geographical phenomena. The numerical data they provide can be effectively presented using visual methods like radar diagrams and maps, making patterns clear and supporting your geographical analysis.
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