research methods - scientific processes Flashcards

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1
Q

aim meaning

A

general statement of purpose
what the study is trying to find out

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2
Q

hypothesis meaning

A

prediction bout the variables in the study

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3
Q

what must the hypothesis show

A

independent and dependent variable - must be operationalised

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4
Q

types of hypothesis

A

directional, non-directional, null

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5
Q

null hypothesis

A
  • suggests that any difference or effect from the study occurs by chance
  • not because of the variables that you have manipulated or the sample you have drawn
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6
Q

how to write a null hypothesis

A
  • ‘there will be no…’
  • difference or correlation
  • write operationalised dv
  • depending on/compared to
  • write operationalised iv conditions
  • ‘and any difference observed will be due to chance’
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7
Q

sample definition

A

small part or quantity intended to show what the whole is like

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8
Q

target population

A
  • whole group of individuals that the researcher is interested in
  • researcher aims to take representative sample from target population, using a sampling method
  • sample should be representative so the generalisations about the target population can be made on the basis of the sample
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9
Q

types of sampling

A
  • volunteer
  • opportunity
  • stratified
  • systematic
  • random
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10
Q

volunteer sampling

A
  • advertise in papers or online etc and people volunteer
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11
Q

evaluation of volunteer sampling

A
  • volunteer bias: certain type of people volunteer; more motivated, extra time on their hands etc
  • access to a variety of ptps = less biased
  • requires minimal input from researcher
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12
Q

random sampling

A
  • everyone in population is given the chance to be selected
  • give each ptp a number and use a random number generator to pick a person
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13
Q

evaluation of random sampling

A
  • potentially unbiased
  • enhances internal validity
  • difficult to conduct
  • time consuming
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14
Q

systematic sampling

A
  • researchers select members of the population at a regular interval e.g every 5th person
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15
Q

evaluation of systematic sampling

A
  • imitates benefits of simple random sampling
  • objective: researcher has no influence over who’s chosen
  • time consuming
  • ptps may refuse: leads to volunteer sampling
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16
Q

stratified sampling

A
  • divide population into smaller subgroups or strata based on shared characteristics e.g age, sex, gender, race etc
  • randomly select from these groups
17
Q

evaluation of stratified sampling

A
  • representative sample
  • accurately reflects population
  • stratification isn’t perfect
  • identified strata cannot reflect all the ways that people are different
18
Q

opportunity sample

A
  • most readily available people
19
Q

evaluation of opportunity sampling

A
  • convenient
  • less costly
  • inevitably biased: small part of population