Module 6: Research Methods Flashcards

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1
Q

What are the different types of variables?

A
  • Independent variable (IV), is changed to investigate its effect
  • Dependent variable (DV), is changed by IV and measured
  • Extraneous variables, not controlled:
  • Situational (e.g. order effects, environment, demand characteristics)
  • Participant (e.g. mood, physical ability)
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2
Q

How can situational variables be controlled?

A
  • Standardised procedure
  • Counterbalancing
  • Randomisation
  • Counter-blind technique (nobody knows aims, including researchers)
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3
Q

How can participant variables be controlled?

A
  • Use same/similar participants
  • Random allocation
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4
Q

What are the different types of hypothesis?

A
  • Null: results will show no non-coincidental relationship/difference
  • Alternative: prediction based on a theory
  • Directional: predicts direction only
  • Non-directional: predicts a relationship/difference but no specified direction
  • Experimental: hypotheses in field/lab experiments
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5
Q

What are the different methods of sampling?

A

Random, stratified, volunteer, opportunity

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6
Q

Explain the random sampling technique

A
  • Equal chance
  • Controls participant variables
  • Some may refuse to participate, so less representative
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7
Q

Explain the stratified sampling technique

A
  • Accurate proportions of subgroups
  • Used if small group may be missed
  • Time consuming
  • Some may refuse to participate, so less representative
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8
Q

Explain the volunteer sampling technique

A
  • Advertise study, people volunteer
  • Minimal effort, most ethical
  • Less representative
  • Biased sample, unreliable
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9
Q

Explain the opportunity sampling technique

A
  • Whoever happens to be around
  • Quickest & simplest
  • Biased sample, unreliable
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10
Q

What are the different research and experimental designs?

A
  • Independent measures design
  • Repeated measures design
  • Matched pairs design
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11
Q

Explain the independent measures design

A
  • Split participants into groups, each group tested in one condition
  • No order effects
  • More participants needed, may be participant variables
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12
Q

Explain the repeated measures design

A
  • Use same participants in all conditions
  • Fewer participants needed, no participant variables
  • Demand characteristics/order effects
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13
Q

Explain the matched pairs design

A
  • Different people in each condition, match them for likeness
  • Fair comparisons between groups
  • Time consuming
  • Not everything can be equally matched
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14
Q

What is reliability?

A

The consistency of an investigation’s results

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15
Q

What is validity?

A
  • Internal: whether the investigation measures what was intended
  • External: whether the results are generalisable to the target population
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16
Q

Explain qualitative methods

A
  • Gather new information to base theories on
  • Hard to replicate
  • Restricted to individuals
  • Researcher bias/investigator effects
17
Q

Explain quantitative methods

A
  • Start with a hypothesis, test a theory
  • Standardised procedure
  • Generalisable
  • More objective
18
Q

Describe the British Psychological Society Code of Human Research Ethics (2014)

A
  • Respect the autonomy, privacy and dignity of participants
  • Scientific integrity (don’t claim misleading/false findings)
  • Social responsibility (must have value to society)
  • Maximise benefit and minimise harm
19
Q

What are the five main ethical principles when conducting studies?

A
  • Informed consent
  • Deception (sometimes needed, debrief ASAP)
  • Right to withdraw (REQUIRED)
  • Protection from physical and psychological harm
  • Confidentiality (details destroyed upon request)
20
Q

Explain the three types of experiments

A
  • Laboratory: controlled environment, extraneous variables eliminated
  • Field: natural environment, IV manipulated, not as much control
  • Natural: real-life environment, IV not manipulated (occurs naturally), opportunistic
21
Q

Explain the three types of interview (and the traits of interviews in general)

A
  • Structured: pre-set questions, quick, interviewer training not required, superficial info
  • Semi-structured: framework but open questions, in-depth info, takes time & trained interviewers
  • Unstructured: most in-depth, takes time & trained interviewers, impossible to replicate
  • (Non-experimental, subject to social desirability bias and interviewer characteristics)
22
Q

Explain questionnaires and their strengths & weaknesses

A
  • Close-ended (pre-set answers) or open-ended (free prose answers)
  • Good for large samples, ethical, no interviewer effect, (close easy to analyse, open more detailed)
  • Low response rate (close lacks detail, open hard to analyse)
23
Q

Explain correlation and its strengths & weaknesses

A
  • Looking for relationship (positive or negative) between variables
  • Cheaper/quicker than experiments, used where experiments would be unethical
  • Cause and effect cannot be determined
24
Q

Explain case studies and their strengths & weaknesses

A
  • In-depth investigation into one person/group
  • Research what would be unethical to set up experimentally
  • Cannot be repeated, lacks generalisability, subject to researcher bias
25
Q

Explain the different types of observation

A
  • Naturalistic: natural environment, normal behaviour
  • Controlled/structured: laboratory, encourages observed behaviour
  • Overt: participants aware of observation
  • Covert: participants unaware of observation
  • Participant: observer is involved in the group they are observing
26
Q

What are the strengths and weaknesses of observation

A
  • Strengths: reliability checked with inter-rater reliability (separate observers, cross-examine results)
  • Weaknesses: observers must be trained, observer bias, ethical issues (covert)
27
Q

Explain primary and secondary data

A
  • Primary: collected directly for specific research purpose (expensive/time consuming)
  • Secondary: previously collected for another study, often for different purpose (cheaper/larger sample size)
28
Q

Explain qualitative and quantitative data

A
  • Qualitative: descriptive/hard to measure numerically
  • Quantitative: numerical data, can be subjected to statistics/testing
29
Q

Describe ethical issues in relation to development

A
  • UNCRC (children’s rights):
  • Participation - experimented WITH, not ON
  • Protected from harm at all times
30
Q

Describe ethical issues in relation to memory

A
  • Deceit & informed consent
  • Seen as ethical with a careful debrief
31
Q

Describe ethical issues in relation to psychological problems

A
  • Research helps people (cost/benefit)
  • Control group (‘waiting list’), only receive therapy is proved effective
  • Protection of participants
  • Genes: can’t be changed, problems found may only lead to stress
32
Q

Describe ethical issues in relation to the brain and neuropsychology

A
  • Brain damage patients vulnerable (protection)
  • Treatment should always take priority over research
  • Nature/nurture - criminal responsibility
  • Social value of results
33
Q

Describe ethical issues in relation to social influence

A
  • Participants must be protected from knowing how far they might go (Milgram 1963, Haney et al. 1973)
  • Milgram did not expect the results he found
34
Q

Explain the risk-benefit viewpoint in regards to ethics

A
  • Balance harm to participants with benefit to society
  • Deception justified if: right to withdraw clear, full debrief, benefit outweighs harm, and harm is temporary
35
Q

Describe ethics committees

A
  • Research proposals MUST be approved by an ethics committee
  • Concerns –> escalated to university committee (most research done in universities)
  • Older studies had guidelines, but didn’t require scrutiny