research methods- lecture 2 Flashcards

1
Q

correlations

A

positive correlation- increase of both variables

negative correlation- decrease of both variables

no correlation- variables are different

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2
Q

strengths of correlational studies

A

cheap and easy to run, can explore initial associations between variables

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3
Q

limitations of correlational studies

A

cant infer causality due to- unsure of direction, potential influence of other variables

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4
Q

longitudinal studies

A
  • well used in developmental research
  • takes measures from ppts at 2 points in time e.g. steffans et al
  • looks at how measures taken at one time point predicts measures taken later on
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5
Q

strengths of longitudinal studies

A

can get an idea of a direction of a relationship, can look at relationships that take a long time to emerge

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6
Q

limitations of longitudinal studies

A

dificult and costly to run, still cannot say 1 variable causes the other

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7
Q

experimental studies

A
  • vary the experience of ppts
  • assess how this varied experience influences thoughts, feelings, behaviours etc
  • within ppts design- repeated measures- ppts complete all conditions- possible demand characteristics
  • between ppts design- ppts randomly allocated to 1 condition (independent groups)
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8
Q

strengths of experimental studies

A

can infer causality

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9
Q

limitations of experimental studies

A

cannot manipulate all variables, ethics, dependent on adequacy of the design, can be some inconsistencies between studies

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10
Q

meta analysis

A
  • finds as many studies as possible on topic in the existing literature using diff designs samples methods etc
  • combines data from across all studies to see if relationship exists
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11
Q

strengths of meta analysis

A

combined data from numerous different studies, overcomes limitations of each individual study

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12
Q

limitations of meta analysis

A

results that show no differences unlikely to be published, effect does not exist, not enough people in the study to find effect, badly designed study, may make relationships look larger than they are

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13
Q

qualitative methods

A

analyse textual data

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14
Q

strengths of qualitative methods

A

obtain in depth info from ppt, can explain new areas

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15
Q

limitations of qualitative methods

A

social desirability, people may not understand their behaviour

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