RM2- Sampling, Control Measures and Pilot Studies Flashcards

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1
Q

sampling

A

ways in which researchers select participants for their study

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2
Q

target population

A

specific group of people from the whole population that you want to study

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3
Q

sample

A

smaller group that you actually select from the target population to participate in the study

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4
Q

name the 5 different sampling techniques

A

volunteer
systematic
opportunity
random
stratified

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5
Q

volunteer sampling

A

participants put themselves forward- self select

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6
Q

systematic sampling

A

pattern, every nth term
a sampling frame is produced from potential participants

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7
Q

opportunity sampling

A

researcher directly asks people who are readily available to them to participate, convenience sampling

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8
Q

stratified sampling

A

random sampling in each strata can be time consuming
the composition of sample reflects proportions of sub groups in the target population
percentage proportion is calculated

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9
Q

random sampling

A

researcher obtains a list of the target population, participants are chosen by change to take part until enough have been chosen

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10
Q

evaluate random sampling

A

representative sample
-researcher has no control
-improves population validity

time consuming
-need to make a sampling frame/ list of target population

not guaranteed for a representative sample
-some groups may not be selected
-stratified is better

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11
Q

evaluate opportunity sampling

A

easy to obtain
-use convenient people

unrepresentative sample
-likely for ppts to have similar characteristics
-reducing population validity

ethical issues
-ppts may feel pressure to take part- abusive power

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12
Q

evaluate volunteer sampling

A

saves time
-can advertise for a specific/ niche group of people

lacks generalisability
-self selected people
-limiting population validity

not representative
-self selected people
-limits population validity- people from a similiar background may see the same advert

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13
Q

evaluate systematic sampling

A

avoids researcher bias
-no influence over who is chosen
-more representative
-increases validity

not very representative
-some groups may not be selected
-stratified is better

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14
Q

evaluate stratified sampling

A

avoids researcher bias
-no influence over who is subdivided into which strata
-accurate reflection of target population
-higher representative sample

time consuming
-needs all details of all ppts in target population

not completely representative
-strata may not reflect all sub groups that exist
-complete presentation is not always possible

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15
Q

control measures

A

strategies that researchers put in place in order to minimise the impact of extraneous variables

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16
Q

name the 4 types of extraneous variables

A

participant variables
situational variables
demand characteristics
experimenter effects

17
Q

why is putting controls in place good for researchers?

A

-they can establish a greater cause and effect
-more confident that their manipulation of the IV has caused an effect on the DV
-results have higher internal validity

18
Q

give 4 control measures

A

counterbalancing
standardisation
randomisation
random allocation

19
Q

what is counterbalancing?

A

where the order of the conditions are mixed up
-reduces the order effects (practice and fatigue)
-one group completes A then B, other group completes B then A

20
Q

what is randomisation?

A

the organisation of materials random, they are presented to participants in a random order
-avoids systematic errors
-reduces bias as the researcher has no control over the order of items

21
Q

what is standardisation?

A

the process in which procedures used in research are kept the same (standard procedures).
-e.g. instructions are delivered by a researcher using a script or reading of a piece of paper or recording to establish standardisation

22
Q

what is random allocation?

A

once a complete list of ppts is generated, they are divided by chance into different experimental conditions
-list is worked through using a system until all ppts are place into conditions of equal amounts

23
Q

control measures for participant variables

A

-use a large sample to increase representation
-use random allocation
-use repeated measures or matched pairs design

24
Q

control measures for situational variables

A

-use a script or written instructions to help standardise procedure
-ensure all ppts are treated in the same way

25
Q

control measures for experimenter effects

A

-use a double blind technique
-use random allocation- chosen by chance, no bias or influence
-provide written instructions, no investigator present

26
Q

control measures for demand characteristics

A

-use deception (does have ethical issues)
-use an independent groups design
-use distractor questions in self report methods
-use a double blind technique

27
Q

pilot studies

A

small, trial versions of proposed studies to test their effectiveness and make improvements.

28
Q

why are pilot studies carried out?

A

carried out as a trial run
-assess the feasibility of the research
-helps to improve the validity of the research being conducted

29
Q

where can problems be identified in pilot studies?

A

-method/ design chosen
-instructions
-procedures
-materials used
-measurements to be taken

30
Q

floor effect

A

task is too hard, participants cannot score at all or they cannot complete the task
-performance is very low
-this assesses the difficulty and therefore researchers can adjust the task

31
Q

ceiling effect

A

task is too easy, all ppts virtually achieve full marks or top performances

32
Q

who are pilot studies carried out on?

A

target population that are not in the sample/ the actual ppts

33
Q

what type of credibility to pilot studies add to research?

A

scientific credibility

34
Q

why are questionnaire pilot studies important to conduct?

A

-checks that respondents understand terms in questions
-checks that emotive questions is not used which could invalidate answers
-ensure there are no leading questions- cause bias answers
-ensure it takes a reasonable amount of time, long times can affect response rate and data quality as people lose interested or not have enough time to complete it.