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Aim (purpose)
The purpose of your investigation/enquiry. What you intended to investigate.
Hypothesis (or Pose Question)
A statement which you will 'test' to see if it is true or false (or a question you will answer).
Predictions
What you think the answer to your hypothesis/question will be, based on what you have learnt.
Evidence
The information you collect/use to answer our hypothesis/question
Primary Data
Evidence/Data collected by you/your group on the fieldtrip
Secondary Data
Evidence/Data collected from another source e.g. GIS, large databases (online), Satellite images, aerial/oblique photos etc
Qualitative
Data that is based on opinion/observation (not measurements)
Quantitative
Data that is based on measurements/ counting (not opinions/observations).
Method or Method-ology
How you carried out your primary data collection. The steps/stages that you took.
Data collection sheet
Sheets you used/designed to help you collect your own data.
Fieldwork Equipment
The equipment you used to collect the data e.g. ruler, stop watch, flow meter
Questionnaire
Asking members of the public questions. Questions can be open/closed.
Bi-polar technique
Collecting data using a scale with a positive and negative scoring system.
Likert Scale
Collecting data using a number scale (only positive numbers) e.g. 0-10 1-5 or with statements: strongly agree - strongly disagree
Annotate
Identify important features using key words and add explanatory notes.
Sample Size
The amount you have sampled compared to the whole population.
Sampling Technique
Sample using random, systematic, opportunistic and/or stratified techniques.
Control Group
A set of standard data to compare to other data collected.
Accuracy
Whether the data was collected in a way that avoided errors. Whether the data collected is a true reflection of real life.
Reliability
Whether or not the data would be the same if the enquiry was repeated e.g. by someone else, or on a different day/time.
Bias
Whether or not the data is misleading/ only showing one point of view.
Process Data
Doing something to your data to make it easier to understand/present e.g. calculate totals, averages, percentages etc
Data Presentation
Creating Maps, graphs or diagrams from the data you have collected or other data
Discrete Data
Counted Data. Information that can be grouped into categories. Data that can only take certain values. For example: the days of the week. Not Continuous Data. Therefore a bar chart or pie chart is used to present this.
Continuous Data
Measured Data. This can take any value. Continuous data can be recorded at many different points (length, size, width, time, temperature, cost, etc.). It can continually change over time/space - therefore a line graph is used to present this..
Analysis
Interpret data by identifying trends and patterns. Say what the data shows. Point out any anomalies. Use T.E.A.
Trends
The main findings that you can see. Describe how the data varies on a graph. T.E.A.
Patterns
The main findings that you can see. Describe how the data varies on a map. T.E.A.
Conclusions
Look at all your findings in order to answer your hypotheses/questions and overall aim.
Evaluation
To weigh up the strengths/positives and limitations /negatives (weaknesses) of something. This can have a conclusion - whether it was mostly positive/negative.