Methodologies 1-4 Flashcards

1
Q

Extraneous Variables

A

Could affect the DV

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2
Q

Confounding Variables

A

Have affected the DV

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3
Q

Lab experiements

A
  • Controlled environment
  • Participants are randomly allocated to a condition
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4
Q

Lab advantages

A
  • High level of control
  • Easy to manipulate IV that can establish cause and effect
  • Easily replicated
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5
Q

Lab disadvantages

A
  • High chance of demand characteristics
  • Lack of mundane realism/ecological validity
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6
Q

Field experiments

A

Carried out in the real world

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7
Q

Field experiment advantages

A
  • More ecological validity
  • Lower chance of demand characteristics
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8
Q

Field experiment disadvantages

A
  • Less control over the sample
  • Harder to replicate
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9
Q

Natural experiments

A

Naturally occurring IV is observed for its effect on the DV

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10
Q

Natural experiments advantages

A
  • Very high ecological validity
  • Useful for otherwise unethical studies
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11
Q

Natural experiments disadvantages

A
  • Low control of Extraneous Variables
  • Harder to replicate
  • Harder to establish cause and effect
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12
Q

Quasi Experiments

A

Naturally occurring IV, which is a difference between people that already exists (ie gender, age, race)

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13
Q

Non-Participant observation

A

Researcher does not get involved with interactions between participants

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14
Q

Participant observation

A

Researcher is involved with interactions between participants

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15
Q

Covert observation

A

Psychologist goes undercover, group is unaware of observation

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16
Q

Overt observation

A

Group that knows they are being watched by a psychologist

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17
Q

Naturalistic Observation

A

Observing participants in their own environments and not deliberately manipulating the IV

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18
Q

Observation advantages

A
  • Covert observation reduces chances of observer effects (participants change behaviour due to observation)
  • Naturalistic observations are ecologically valid
  • Naturalistic observations are useful when deliberate manipulation of IV is impractical or unethical
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19
Q

Observation disadvantages

A
  • No control of Extraneous Variables
  • Problematic to determine cause and effect
  • Observer bias
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20
Q

Controlled Observation

A

Observing participants in a controlled environment, manipulating the IV

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21
Q

Controlled observation advantages

A
  • Cause and effect can be determined
  • Extraneous Variables can be controlled for
22
Q

Controlled observation disadvantages

A
  • Lower ecological validity
  • Observer effects
  • Observer bias
23
Q

Behavioural Categories

A
  • Observers have a list of behaviours to look out for and tally
  • Gives a clear focus
  • Easier to quantify/analyse
  • Higher reliability
24
Q

Observer Bias

A
  • Observer knows the study’s aims, and has their observations influenced
25
Q

How to avoid observer bias

A

Use two observers who agree beforehand how to interpret behavioural categories

26
Q

Inter-observer reliability

A

The observers agree

27
Q

Intra-observer reliability

A

Observation is recorded and watched several times

28
Q

Event sampling

A

Recording every time a behaviour occurs

29
Q

Time sampling

A

Recording all behaviours within a given time frame

30
Q

Structured Interview

A

Same questions, same order, for quantitative data

31
Q

Unstructured Interview

A

Informal, in-depth conversation for qualitative data

32
Q

Semi-structured Interview

A

Combine structured and unstructured for quantitative and qualitative data

33
Q

Interview advantages

A
  • Useful for sensitive issues
  • Can ask for clarification is a question is misunderstood
34
Q

Interview Disadvantages

A
  • Interviewer effects (a characteristic/behaviour of interviewer affects answer)
  • Social desirability bias
  • Interviewers must be trained (time consuming and expensive)
35
Q

Recording interviews

A
  • Notes can interfere with listening skills
  • Audio/Video recordings can be used
36
Q

Interviewer listening skills

A

Be aware of non-verbal communication and show interest to maximise information received

37
Q

Closed questions

A

Choose from fixed responses (easy to compare and display)

38
Q

Open questions

A

Answer in your own words (researcher can pursue a line of enquiry if they give an answer that was not predicted)

39
Q

Questionnaire advantages

A
  • Easy to collect lots of information (quick and convenient)
  • Easy to score and collate
  • Easy to replicate
40
Q

Questionnaire disadvantages

A
  • Misunderstanding the question
  • Low response rates
  • Sample may be biased (maybe the people who were willing to do the questionnaire had different characteristics to those who weren’t willing)
41
Q

How to write good questions

A
  1. Clarity (no double negatives/double barrel)
  2. Bias (avoid leading questions)
  3. Analysis (easy to analyse the responses, like in closed questions)
42
Q

Good questionnaire design

A
  1. Filler questions
  2. Sequence (start easy, then more sensitive)
  3. Pilot study (small scale test)
  4. Sampling techniques (be aware of biased samples)
43
Q

Correlation scale

44
Q

Curvilinear correlation

A

Positive correlation up till a point and then negative (or vice versa)

45
Q

Correlation advantages

A
  • Establish strength of a relationship
  • Predictions can be made
  • Investigate things that cannot be manipulated experimentally (ethically and practically)
46
Q

Correlation disadvanatages

A
  • Cannot show cause and effect
  • May be a third variable affecting the relationship
  • Cannot show curvilinear relationships
47
Q

Correlation

A

Analyse the strength and direction of the relationship between co-variables

48
Q

Experiment and correlation difference

A

Experiments manipulate an IV to see the effect on the DV, so cause and effect is measured. Correlation only shows a relationship

50
Q

Correlation Strength General Rule

A
  • 0-0.1: No correlation
  • 0.1-0.3: Weak correlation
  • 0.3-0.5 Moderate correlation
  • 0.5+ Strong correlation