Geography In Everday Life topic 3 Flashcards
What are the five stages of fieldwork
- craft research question or hypothesis
- Collection of data
- Analysis of data
- Presentation of findings
- Conclusion and evaluation
Crafting of question or hypothesis
- A research question is a question that outlines a specific scope for investigation related to the topic
- A hypothesis is a measurable statement consisting of one or two variables
data collection
- 4 types of data:
1. Primary data: data that are collected first-hand such as photographs, sketchers, and closed-ended questionnaire
2. Secondary data: data that are collected by someone else such as newspaper articles, books, journals etc.
3. Quantitative data: data that can be quantified and measured
4. Quality data: data that are not easily measurable and are subjective
Sequencing data
- Quantitative data followed by qualitative data:
Quantitative data are collected to identify patterns and trends. Subsequently, qualitative data are collected to examine the patterns and trends observed - Qualitative date followed by quantitative data:
Firstly, qualitative data are collected to make observations. Subsequently, quantitative data are collected to verify the observations
What are some limitations that needs to be considered?
- The scope of investigation: research aims, study area, sample size and time
- Think about questions like:
1. data collected: How much data can I collect?
2. Time available: How much time do I have to complete the collection?
3. Accessibility to place: Which location can I access to?
4. Availability to equipment: How easy is it for me to get the required equipment?
5. Manpower: How many people are involved in the investigation?
What are the risks of fieldwork?
- Falls, cuts, or minor injuries:
- wearing proper outfit like footwear or clothing
- People to take note of potential risk - Traffic accidents, collisions with cyclists:
- Take note local hazards
- avoid collecting data on roads
Types of sampling
Probability sampling:
1. Simple Random sampling
2. Stratified Random sampling
Non-probability sampling:
1. Convenience sampling
2. Quota sampling
What is a probability sampling?
- Samples are randomly selected without the researcher’s conscious decision
- Can be done using a random number generator
- This removes bias in the outcome presented
- Has a greater chance of creating representative sample
What is a non-probability sampling?
- Often using the researcher’s conscious thinking
- Researcher subjectively select samples
- This selection may be bias
- These samples are unlikely to be representative since they are selected samples.
The 4 types of sampling
- Simple random sampling: Every member of the population is given a number, a random number generator which generate a random result
- Stratified random sampling/ Quota sampling:
Select a sample that has a proportionate makeup to the population based on e.g. age or sex - Convenience sampling:
Convenient sources like people walking down the streets or friends etc.
What are the advantages of predefined responses?
- Easier for participants to answer
- Easier for researcher to analyse and interpret
- Useful for quantitative data analysis to examine pattern and trends
What are the rating scales?
- Likert scales present a range of responses and can have predefined responses based on a scale of disagreement and quality
- Frequency scales present a range of responses based on number of occurrences
- Ranking scales are used to compare items, the lesser the item the more reliable the data
What are mental maps?
- Used to collect data on the experiences of people about the environment
- The dynamic inter-relationship with the environment
How are quantitative data collected from closed-ended questionnaire?
- Measures of Frequency:
- By counting the total number of times something occurred
- By using percentage - Measures of central tendency:
- Mean is the sum of all values divided by the number of values
- Median is the middle value of a set of data arranged in the ascending order
- Mode is the highest frequency in a data set
How are mental maps analysed?
Various aspects of map:
1. Centering and borders. [Capture attention, signal greater importance]
2. Scale of map element. [Comparing the size of the feature of the real and virtual map can show the familiarity of the person]
3. Labelling. [Choice of words can show the emotions of the mapper]
4. Legends, symbol, colors. [Can convey personal experiences and emotions]
Examining relationships and patterns
- In graphs the use of best-fit line if gradient is positive which means the relationship is positive vice-versa
- Recognisable geometric shapes, clusters and repetitions:
- Higher the occurrence of something which is the popularity is higher
-Absence of something can indicate the unfamiliarity of the place
How do we present findings using graphs?
- Bar graphs to present data with discrete categories or to compare data between various categories
- Pie charts are used to show percentage and/or proportion
- Line graph is use to represent the changes over time, we can observe the trends and relationship between factors
How do we present findings using photographs and texts?
- Photographs: Can be taken from different orientations offering different perspective
- Text:
- Color-coded: draws attention, useful in analysing quotations and presenting findings
-Word Cloud: Makes it easier to recognise the most important points