Sampling /Sampling Techniques Flashcards

1
Q

what are the different types of sampling?

A
  • opportunity sample
  • random sample
  • stratified sample
  • systematic sample
  • volunteer sample
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2
Q

what is an opportunity sample?

A

recruiting people who are most convenient/most available

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3
Q

what is a random sample?

A

participants are randomly selected using random techniques
- lottery method (names out of a hat)
- random number table
- random number generator

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4
Q

what is a stratified sample?

A

subgroups within a population are identified (age, gender etc), participants are obtained from each subgroup in proportion to occurence in population

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5
Q

what is a systematic sample?

A

use predetermined system to select participants, numerical interval is applied constantly

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6
Q

what is a volunteer sample?

A

advertise on a newspaper/noticeboard/internet

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7
Q

what is a strength of opportunity sample?

A

easiest method because you find first suitable participants you can find, less time to locate sample

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8
Q

what is a limitation of an opportunity sample?

A

biased because sample is drawn from small population

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9
Q

what is a strength of random sampling?

A

unbiased, all member of population have equal chance of being selected

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10
Q

what is a limitation of random sampling?

A

need to have a list of all members of the population then contact those selected, takes time

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11
Q

what is a strength of stratified sampling?

A

likely to be more representative than other sampling methods because there is a proportional and randomly selected representation of subgroups

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12
Q

what is a limitation of stratified sampling?

A

very time consuming to identify subgroups, then randomly select participants and contact them

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13
Q

what is a strength of systematic sampling?

A

unbiased as participants are selected using an objective system

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14
Q

what is a limitation of systematic sampling?

A

not fully unbiased unless you select a number using a random number method and start with this person and then select every nth person

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15
Q

what is a strength of volunteer sampling?

A

gives access to variety of participants which may make sample more representative and less biased

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16
Q

what is a limitation of volunteer sampling?

A

may be biased as participants are likely to be more highly motivated and/or with extra time on their hands
- results in volunteer bias

17
Q

What is quota sampling?

A
  • Work out main demographic characteristics of your population and ensure that your sample is a fairly accurate scaled down vision of the population ‘
  • is not random
  • researcher aides on now many people are going to represent each category and find the right number of people until quota is filled
18
Q

What is snowball sampling?

A
  • researcher selects key individuals and these contacts greate more contacts and so on
  • used when other sampling techniques would be ineffective
19
Q

What is cluster sampling?

A

-‘Clusters’ or participants are randomly selected and auto individuals within me cluster participate in the research
- multi stage sampling is a form of Auster sampling where 2 random samples are selected, stage 1: selects clusters, stage 2: p’s within clusters are randomly selected

20
Q

what does the term ‘target population’ refer to?

A

all members of a group you are interested in studying

21
Q

what is a sample?

A

a smaller group selected from all the people in your chosen target population

22
Q

what is generalisation?

A
  • ability to generalise findings
  • ability to apply findings beyond particular individuals studied
23
Q

what is sampling bias?

A

when the sample does not have generalisability and external validity e.g. sample not randomly selected

24
Q

what factors may create sampling bias?

A
  • often difficult to recruit participants and may have to be bribed in some way
  • sometimes force/coercion is used
  • some participants will volunteer for various reasons
25
Q

what sampling techniques are non-probability samples (vulnerable to sample bias)?

A
  • opportunity
  • volunteer
  • quota
  • snowball
26
Q

what sampling techniques are probability samples (avoids researcher bias in sample selection)?

A
  • random
    stratified
  • systematic
  • cluster