Research methods Flashcards

(51 cards)

1
Q

What is objectivity?

A

Non-biased research that is verified through measurements and not personal opinion.

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2
Q

What is empricism?

A

Providing evidence through direct observation rather than an argument.

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3
Q

What is reliability?

A

The findings being easy to repeated again with the controlled variables included.

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4
Q

What is a paradigm?

A

A shared agreement of assumptions and views about a view or approach.

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5
Q

Why is scientific approaches to psychology criticised?

A
  • To study people’s behaviour is hard because behaviour is complex to measure.
  • Human personality makes the scientific method to psychology objectively impossible.
  • Lab experiments can provoke demand characteristics.
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6
Q

What does peer review do to help studies?

A
  • Gather more funding as it is credible and approved by others
  • Prevent faulty studies being published
  • Get a wider view to get more ideas.
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7
Q

Criticisms of peer reviews

A
  • Bias towards more prestigious institutions meaning that smaller researchers may not be popularised
  • Peers may not want to publish research that go against their views or beliefs and therefore may discredit it.
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8
Q

What are experiments in psychology and evaluate.

A

Designed to establish cause and effect. Strictly control variables to eliminate extraneous variables.

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9
Q

Quasi experiments, evaluate

A

Groups in a condition are there because of they’re the independent variable. (Men vs Women)

GOOD
Less artificial: generalisable to real life

BAD
Confounding variables may affect results
Can’t establish cause and effect

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10
Q

Lab experiments, evaluate

A

GOOD
- High degree of control
- High reliability
- Cause and effect

BAD
- Demand characteristics
- Low in validity
- Lacks ecological validity and can’t be generalised

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11
Q

Field experiments, evaluate

A

GOOD
- Can be generalised to the public: high ecological validity
- Experimenter bias is reduced

BAD
- Less control, extraneous variables may affect behaviour and findings
- Low reliability.

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12
Q

What is repeated measures?

A

PPs are in both conditions

  • D
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13
Q

What are independent groups

A

PPs are in both conditions

  • High demand characteristics
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14
Q

What are matched pairs

A

PPs are matched into pairs and randomly allocated to one condition

  • Less chance of demand characteristics

BUT..
Needs more participants

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15
Q

What is a natural observation, evaluate

A
  • High ecological validity
  • Demand characteristics don’t affect the findings.
  • Can’t control all variables
  • Can’t make cause and effect because an extraneous variable may have caused that behaviour
  • Unethical if they didn’t consent to being watched.
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16
Q

What is a controlled observation, evaluate

A
  • Variables are more controlled, you can make and cause and effect.
  • Hawthorne effect
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17
Q

What is participant observation, evaluate

A

Observer interacts with the participants.

  • Easier to get a deeper understanding of the behaviour.
  • Observer can become too involved and the findings may be biased,
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18
Q

What is non-participant observation? evaluate

A

Observer isn’t involved and steps away.

  • Observer can remain objective
  • Can’t gain a deeper understanding towards the behaviour.
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19
Q

What is overt and covert participant observation?

A

Overt = they know they’re being observed.
Covert = they are not aware they’re observed.

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20
Q

Pros and cons: surveys

A

GOOD
- Quick collection of data from a lot of people
- Can make judgements of quantitative data
- Easy to replicate
- Detached method, more likely to give personal information as there is no opinion on your answers.

BAD
- It may be hard to get responses
- People may not understand the question
- Time consuming and therefore deters people to answer.
-

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21
Q

Pros and cons: interviews (structured, unstructured, semi-structured).

A

STRUCTURED
Questions are set by the interviewer in a fixed order

PROS
- Easy to compare responses and gather an understanding
- Quick to conduct and analyse

CONS
- Can’t gain a richer understanding of the answers
- No flexibility

UNSTRUCTURED
Asks questions and may create more questions based off the answers: more like a conversation. Open-ended questions

PROS
- High validity: more in-depth responses
- Builds a rapport: PPs are more comfortable
- Allows the interviewer to gain a deeper understanding

CONS
- Low reliability
- Findings are harder to compare
- Time consuming to interview and analyse the answers.

SEMI-STRUCTURED
A set of questions but the answers the respondent says can mean the interviewer asks for a deeper understanding

PROS
- Easier to analyse and still gain rich understanding
- Flexible and adaptable than structured interviews

CONS
- Interviewer bias may influence answers
- More time consuming than structured interviews

22
Q

Case study: pros and cons

A

In-depth study into an individual or group

PROS
Can gain rich data about the subject

CONS
Difficult to generalise: small sample size
Low reliability

23
Q

What is external reliability?

A

If the study’s results can be replicated when it is repeated again

24
Q

What is internal validity?

A

The study being able to test the hypothesis it was designed to test

25
What is external validity?
How well the results can be generalised to the wider public
26
What affects validity?
- Demand characteristics: participants may change their behaviour to please the experimenter. - Experimenter bias: participants may infer something differently leading to different behaviour and therefore may decrease validity.
27
What is random sampling?
Every member of a bigger sample has a chance of being selected.
28
What is opportunity sampling
Selecting PPs who are willing to take part.
29
What is a pilot study?
A tester to make sure all aspects of the research are valid.
30
What is volunteer sampling
People who want to be part of the study.
31
Internal validity vs external
The stricter the variables are = better internal validity, less external validity. This is because the environment becomes more artificial and therefore it’s less generalisable to the wider public.
32
What does a psychologist do to deal with ethical issues?
- Told the objectives of the study - Informed consent - Right to withdraw - Confidentiality - Debrief after to prevent negative effects
33
What is probability
A numerical measure of chance on how likely something is that something will happen.
34
What is a general accepted level of significance
5% (0.05)
35
What is a type 1 error
Error when null hypothesis is rejected but should have been accepted. FALSE POSITIVE
36
What is a type 2 error
Error when null hypothesis is accepted but should have been rejected. FALSE NEGATIVE
37
What are measures of central tendency
Tell us where the middle or more frequent values are so we can compare two sets of scores; the mean, median and mode.
38
What are measures of dispersion
They describe the spread of scores or how much variation there is around the mean, the range and standard deviation.
39
What is standard deviation
The larger the value, larger spread of results showing that it worked differently for different people.
40
What is ordinal data
Ranking data, shortest to tallest e.g.
41
What is nominal data
Data is put into categories
42
What is interval data?
Data from a ruler, thermometer e.g.
43
What is a null hypothesis
When there is no difference or relationship between variables
44
What is an alternate hypothesis
There will be a difference or relationship between variables
45
What is an one tailed hypothesis
Directional, states something will be NEGATIVE or POSITIVE
46
What is two-tailed hypothesis
Non-directional, states it will be affected.
47
What is spearman's rho features
- Testing for a correlation - Data is ordinal - Looking for an association between different measurements from the same sample
48
What is mann-whitney test features
- Testing for a difference - Ordinal - Independent groups
49
What is wilcoxon test features
- Testing for a difference - Ordinal - Repeated measures
50
What is chi-squared test features
- Nominal data - Looking for differences between conditions - Data is expressed in frequencies - Each data is independent - Two tailed
51
What is content analysis?
A RSM that analyses secondary data and splits the data into categories.