Sampling & Data Collection Flashcards

(40 cards)

1
Q

what is qualitative data

A

data given in words to describe something

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2
Q

what is quantitative data

A

data given in numbers which count or measure something

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3
Q

what is discrete data

A

quantitative data that needs to be counted

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4
Q

what is continuous data

A

quantitative data that needs to be measured

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5
Q

what is population

A

the group of people or things you wish to find out about

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6
Q

what is finite population

A

a population where you can count how many members there are

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7
Q

what is infinite population

A

a population where it is impossible to determine how many members there are

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8
Q

what is a survey

A

a method by which you find out about the population

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9
Q

what is a census

A

a survey involving all of the population

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10
Q

what is sample

A

a small section of the population that have been chosen for a survey

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11
Q

what is a sampling unit

A

an individual member of the population

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12
Q

what is a sampling frame

A

a full list if the sampling units in the population

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13
Q

give 1 advantage of a census

A

it gives fully accurate results

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14
Q

give 2 disadvantages of a census

A

it is time-consuming and expensive

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15
Q

give 3 advantages of sampling

A

It is quicker, cheaper and less data is needed to be analysed

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16
Q

give 2 disadvantages of sampling

A

it might not represent the population accurately, and it could be biased

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17
Q

how is simple random sampling carried out

A

every member of the population is uniquely numbered. Different numbers are randomly selected using a random number generator

17
Q

what is simple random sampling

A

every member of the population has an equal chance of being selected

18
Q

what is systematic sampling

A

a repetitive system used to select a sample from the population

19
Q

how is systematic sampling carried out

A
  1. carry out size of the interval:
    size of population / size of
    sample
  2. choose a starting point between 1 and then select every kth member after the first one
20
Q

what is stratified sampling

A

the population is split into groups and a proportional representation of the different groups is selected

21
Q

how is stratified sampling carried out

A

the number of members sampled from a stratum =
(size of sample / size of population) * number of members in the stratum

22
Q

what is quota sampling

A

the population is split into groups and a certain number from each group is chosen in any order

23
Q

can quota sampling be non-random

24
what is opportunity sampling
a convenient sample is taken from any member of the population at any time
25
when should simple random sampling be used
when you want a random sample to avoid bias
26
when is simple random sampling useful
when you have a small population ir want a small sample
27
when should systematic sampling be used
when you want a random sample from a large population
28
when is systematic sampling useful
when there is a natural order
29
when should stratified sampling be used
when the population can be split into obvious groups of members
30
when is stratified sampling useful
when there are very different groups of members in a population
31
when should quota sampling be used
when a small sample is needed to be representative of the population structure
32
when is quota sampling useful
when a sampling frame is not available
33
when should opportunity sampling be used
when a sample is needed quickly
34
when is opportunity sampling useful
when a list of the population is not possible
35
what is 1 disadvantage of simple random sampling
cannot be used if it is not possible to number all the members of the population
36
what is 1 disadvantage of systematic sampling
cannot be used if it is not possible to number all the members of the population
37
what is 1 disadvantage of stratified sampling
cannot be used if the population cannot be split into seperate groups
38
what is 1 disadvantage of quota sampling
can introduce bias as some members of the population might choose not to be included in the sample
39
what is 1 disadvantage of opportunity sampling
unlikely to be representative if the population structure