Sampling Flashcards

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1
Q

What is target population

A
  • Every member of a group that the investigator plans to study
  • may be too large of a sample that not everyone could be studied
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2
Q

What is generalisation

A

Smaller sample taken from the larger target population. And the results can be applied to all members of the target population

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3
Q

What must a sample be

A

Representative of the target population

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4
Q

Random sampling

A

Each member of the target population has a mathematically equal chance of being in the experiments sample

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5
Q

How to conduct random sampling

A

1.Researcher needs a full list of the entire target population
2. All names entered into a computer data base
3. All names equal to the number needed to the sample are selected from a random generator
4. Names selected are the sample

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6
Q

Strength of random sampling

A
  • avoid researcher bias, researcher cannot choose the ptps they want for the sample avoiding the possibility researcher picks sample which they eels are likely to give them preferred results
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7
Q

Weaknesses of random sampling

A
  • ptps picked could be unrepresentative = eg too few on one gender picked
  • time consuming to get a full list of a large target population
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8
Q

Define systematic sampling

A

Ptps are chosen from a list of the target population every Nth ptp is chosen to form a sample eg every 5th o 10th person

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9
Q

How to conduct the systematic sample

A
  1. Researcher needs a full list of the entire target population
  2. Researcher reds down the list selecting every Nth ptp to form sample
  3. Continue until the sample required is chosen
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10
Q

Strengths of systematic sampling

A
  • avoids researcher bias as the researcher cannot choose the ptps they want for their sample
  • quick method - if an already existing list of the target population
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11
Q

Weakness of systematic sample

A
  • result in unrepresentative sample
  • if target pop too large it may be difficult to get full list
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12
Q

Opportunity sample

A
  • researcher directly asks available members of the target population to take part in the research
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13
Q

How to conduct opportunity sample

A
  • researcher directly asks any members from within the target population (that they have access to) to take part in the research
  • any individual agreeing to take part are added to a sample until number of ptps required is met
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14
Q

Strengths of opportunity sampling

A
  • fast = reducing time o conduct research, reduces cost involved compare to more complex sampling
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15
Q

Weaknesses of opportunity sampling

A
  • researcher bias = researcher decides who is ask and not ask to be in their study
  • unlikely to representative = ptps chosen and people he researcher has easy access to
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16
Q

Volunteer sampling

A
  • Ptps offer to take part after finding out about the research
  • often found in newspaper or online
17
Q

How to conduct volunteer sampling

A
  1. Advertisements are placed where they are likely to be seen by members of the target population
  2. After will include contact details of researcher will enrol the volunteer in to the sample when they respond
18
Q

Strengths of volunteer sampling

A
  • could result in a large sample size and a wide variety = representative
  • easy sample to collect ptps as ptps put themselves forward rather than researcher having to find them
19
Q

Weaknesses of volunteer sampling

A

Volunteer bias = may not be generalisable = volunteer may have different characteristic to target population, Likely to be friendlier and have more free time

20
Q

What is stratified sampling

A

By selecting from within a strata, characteristics of ptps I think the sample are the same proportion as found within the target population

21
Q

How to conduct stratified sampling

A
  1. Strat/sub groups identified along with their proportion in the target population
  2. Random sampling used to select number of ptps required from each stratum
22
Q

Strgeths of stratified sampling

A
  • representative = generalisable
  • no reacher bias = ptps randomly chosen
23
Q

Weaknesses of stratified sampling

A
  • not every characteristic can be concluded in a stratified sample and because of this researcher decides which strata are more important = bias
  • time consuming