Sampling, questionnaires, observations + counts Flashcards

1
Q

Hypothesis

A

Prediction/statement made before data collection

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2
Q

Primary data

A

Personally collected by you

Eg traffic/pedestrian counts, environmental indexes, questionnaires + land use surveys

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3
Q

Secondary data

A

Collected by someone else

Eg internet, books, census + bus timetables

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4
Q

Quantitative data

A

Data involving figures

Easy to present/analyse but very general

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5
Q

Qualitative data

A

Written data/photos/pictures

Result of open ended questions

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6
Q

Pilot survey

A

Preliminary experiment

ADV: test equipment, compare, practise, check for errors

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7
Q

Why use sampling

A

Fair and unbiased way of determining characteristics of whole group
Used to study small percent of group with similar characteristics

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8
Q

Random sampling

A

Everyone has equal chance of selection
Random numbers table identifies which members are sampled
Eg ask 6th person then 1st …

ADV: equal chance, most unbiased, quick/simple
DIS: completely random so not representative (eg pick only females)

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9
Q

Systematic sampling

A

Easier, using regular pattern
Eg ask every 5th person or record land use every 50m
Physical geography - eg measure wind speed every 3 days

ADV: pattern, better coverage, no bias, simple
DIS: unpredictable sample (eg every 10th person happens to be female), may miss out certain groups, not equal chance

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10
Q

Stratified sampling

A

Secondary data ranks group
Eg 12 districts: you may pick 4 best/worst. If rank them, then random/systematic pick 1 from each quartile

ADV: reflects balance, more representable
DIS: sample size affects reliability (too small to be accurate/see anomaly)

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11
Q

Questionnaires and features

A

Gain information from individual/group of individuals

Recording sheet: circle location, decide score, tick appropriate column

Instructions
Number of questions/wording
Geographical location
Necessary info to analyse differences (time/location/recorder name)

Open ended questions - personal but not relevant/hard to analyse
Closed questions - relevant but need ‘other’ box/not personal

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12
Q

Uses of questionnaires

A

Investigate sphere of influence:
Range of shops/mark locations/map advertising and delivery areas/ compare results for different shops/where they live

Investigate use of services:
Ask in city + suburbs/how many times they shop/map most used services

Farm study, factory, leisure activities, tourism, public attitudes to new developments

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13
Q

Observations

A

Land use
Photos of adaptations
Observe river/coastal features

Record on map/recording sheets/field sketches/annotated photos

Decide if you survey every building or sample

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14
Q

Features of recording sheet (pedestrian/traffic counts)

A

Instructions: when to start/how long for/what to count/direction
Info to identify sheet: time/date/direction/location/name of recorder
Location/name
Time
Tally scoring system: eg tally of pedestrians
Total result of tally

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15
Q

How to get reliable results (counts)

A

Identify different places/points
Same time
For 10 mins (same duration)
Watches/stopwatches - comparability

Easier to present data + compare

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16
Q

Why does counting at different times affect reliability

A

Unreliable

Number of pedestrians/traffic varies - shop opening hours, people going to/from work, lunchtime breaks

17
Q

Types of counts

A

Tallies - quick/simple
Traffic/pedestrian counts
Environmental/globalisation indexes - simple:
- bipolar scoring (neg to pos, 0 is average)
- subjective - do in groups with same index

Write date/time/location!!

18
Q

Instructions for traffic count

A

Safe location near road
Count in both directions for 10 mins
Use tally
Count up totals for each type at end

19
Q

How to make experiment safe

A
Weather protection - waterproofs 
Sensible footwear 
Groups 
Check weather 
Avoid slippery rocks/high tide 
Mobile 
Tell teacher the area you're in