FIELDWORK Flashcards

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1
Q

What are the two types of data?

A

Quantitative and Qualitative

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2
Q

What is quantitative data?

A

Numerical data

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3
Q

What is qualitative data?

A

non - numerical data

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4
Q

What is the other type of data?

A

Primary and secondary data

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5
Q

What is primary data?

A

Data that is personally conducted and is reliable but time consuming

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6
Q

What is secondary data?

A

Information that has already been collected. This data is easily available but can be out of data and unreliable

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7
Q

What is a sample?

A

A small survey of a number of sites or people to gain an understanding of the characteristics of a larger area.

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8
Q

sample method - random

A

This is where data is going to be collected are selected at random . It avoids bias but data can be not evenly distributed and not easy to access..

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9
Q

sample method - systematic

A

the sample is agreed upon using a specific rule when out in the field. The data is evenly distributed and is ensures good coverage of the area. However, it may be bias and may not be representative.

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10
Q

Sample method - Stratified

A

A sample frame made up of sub-sets is used to choose the sites it needs to be representative and proportional to the total area. You have to conduct research and bias is introduced.

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11
Q

EQI (Environmental quality index)

A

Use opposite adjectives or opposite descriptors to assess the quality of the environment. These opposite statements can be used to capture the viewpoints of the students themselves or the member of the public.

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12
Q

limitations of EQI

A
  • subjective - less accurate

- scale - when in the middle is useless

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13
Q

likert survey

A

Asses the strength of response to an issue. They can be used to investigate whether different groups of people hold similar or different opinions. They are useful in fieldwork that investigates opinions about concepts such as place, sustainability or risk.

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14
Q

advantage and disadvantage of likert survey

A

Advantage
- collect a lot of data fairly quick

disadvantage
- scale - people can put neither agree and disagree.

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15
Q

river measurement -risks

A

slipping on rocks and falling into the river

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16
Q

river measurement-factors that could affect the accuracy

A

rocks

17
Q

bar graph advantage and disadvantage

A

advan

  • very quick and easy to draw.
  • easy to understand and make comparisons

disadvan:

  • can be difficult to read accurately
  • data could be over-simplified
18
Q

line graphs advantage and disadvantages

A

advan:

  • they are quick and easy to plot, simple to read
  • multiple sets of data can be shown using different colours making it easy to compare

Disadvan:
- can only be used for continuous sets of data

19
Q

pie charts advantages and disadvantages

A

advan:
-They are visually effective as it is easy to compare relative proportions of each segment

disadvan:
- Can over emphasise large values and therefore smaller values are not clear

  • hard to read when they is a lot of categories
  • need to calculate to plot them
20
Q

Histogram advantages and disadvantages

A

advan:

  • you can accurately plot large data sets
  • simple plot and read and understand
  • shows change over time

disadvan:
- can only be used for continuous sets of data

21
Q

scatter graphs advantages and disadvantages

A

advan:
- can compare two sets of data
disadvan:
- the line of best fit can be hard to plot

22
Q

compound line graph advantages and disadvantages

A

advan:
- easy to see which value takes up the biggest share or has changed most over time

disadvantage:
- not easy to read
accurately

23
Q

radar graphs advantages and disadvantages

A

Advan:
- lots of data can be shown on one graph
- easy to compare multiple data sets and individual variables
Disadvan:
- can be difficult to draw the axis and scale.

24
Q

Pictograms advantage and disadvantage

A

Advan:

  • they are visually effective way of representing data
  • easy to read and compare

disadvan:
- the images can be confusing if not carefully selected

  • hard to get the scale right