Research methods

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60 Terms

1
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Define a laboratory experiment

IV is manipulated in a highly controlled environment

2
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Define a field experiment

IV is manipulated in a more everyday setting

3
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Define a natural experiment

Changes in the IV are naturally occurring and not being manipulated by a researcher

4
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Define a quasi-experiment

IV is based off an existing characteristic and not manipulated by a researcher

5
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Define an experiment

An experiment is a study that investigates cause and effect

6
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What are the strengths of a laboratory experiment

  • High control over EVs to establish cause and effect

  • High internal validity due to control of EVsReplication is possible to establish reliability (giving the same information)

  • standardisation

7
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What are some limitations of laboratory experiments

  • Lacks external validity due to the unusualness of researchcannot be generalised

  • Doesn't represent everyday settings, so has low mundane realism

  • This could lead to demand characteristicssocial desirability bias

8
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What are the strengths of Field experiments

  • have higher mundane realism than lab experiments as the environment is more natural

  • produces behaviour that is more valid and authentic

  • high external validity

9
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What are the limitations of Field experiments

  • Hard to establish cause and effect between IVs and DVs

  • Hard to control EVs - low internal validity

  • Cause and effect of IVs and DVs are harder to replicate making them not very reliable

  • Participants have no right to withdraw as they're unaware they're being studied which can raise ethical concerns

10
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What are the strengths of natural experimentsdo they have high internal or external validity

  • Provide research opportunities that couldn't be undertaken due to ethical concerns

  • high external validity (involves real world problems/issues)

11
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What are the limitations of Natural experiments

  • Naturally occurring events may only happen rarely - reducing research opportunities

  • Participants may not be randomly allocated during - Independent groups design

  • Demand characteristics may be an issue if and when research is conducted in a lab

  • Risk of EVs - low internal validity

12
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What types of experiment are true experiments

  • Field experiments

  • Laboratory experiments

13
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What are the strengths of Quasi-experiments

  • Carried out in standardised and controlled environments - meaning it can be replicable

  • Enables researchers to study independent variables that would be impractical or unethical to investigate in laboratory or field experiments

14
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What are the limitations of Quasi-experiments

  • Cannot randomly allocate participants to conditions and there may be confounding variables

  • IV isn't deliberately changed by the researcher and therefore we are unable to claim that the IV has caused any observed changes

15
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Outline what a Pilot study is

  • A small-scale preliminary study conducted before any large scale quantitive research in order to evaluate the potential for a future full-scale project

  • Pilot studies are a fundamental stage of the researcher process as they can help identify design issues

16
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What is a naturalistic observation?

Takes place in the setting or context where the target behaviour may occur

17
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What is a strength of naturalistic observations

  • Easier to study behavioural interactions

  • High ecological validity

18
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What are some limitations of a naturalistic observation

  • All aspects of the experiment are free to vary

  • Replication can be difficult

19
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What is a controlled observation

  • why is it not an experiment

A researcher controls the variables

no IVs or DVs

20
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What are the strengths of a controlled observation

Control over CVs and EVs

21
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What are the limitations of controlled experiments

Will likely be in an artificial setting

So it will have low ecological validity

22
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What is a covert observation

Participants are being watched without their knowledge or consent

23
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What is a strength of covert observations

Removes demand characteristics

High internal validity

24
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What are the limitations of a covert observation

Without informed consent, Ps have no right to withdraw (can be unethical)

25
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What is an overt observation

Ps know they're being watched and have given consent

26
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What is a strength of an overt observation

More ethically acceptable

27
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What are the limitations of an overt observation

  • Ps more vulnerable to demand characteristics, leading to lower internal validity

28
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What is a Participant observation

The researcher becomes a member of the group they're studying

29
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What is a strength of Participant observations

  • High external validity

  • clearly isn't in an artificial setting

  • P's behaviour will be more genuine

  • high mundane realism

30
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What is a limitation of Participant observation

Researcher may loose objectivity and adopt the lifestyle of those they're researching ‘going native'

31
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What is a non-participant observation

Researcher remains separate from the group they're studying

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What is a strength of a non-participant observation

The ability to maintain an objective psychological distance from the group they're studying

33
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What is a limitation of a non-participant observation

Researcher may be too removed from the group they're studying

34
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What is a true experiment

Where a researcher manipulates the IV

35
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What is inter-observer reliability

Needing more than one person in an observation for it to remain consistent

36
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What is a structured observation

Researchers use various systems to organise the observation, such as behaviour categories and sampling procedures

37
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What are the strengths of structured observations

  • what type of data does it produce

  • More likely to produce quantitive data making it easier to read and analyse

  • Less risk of observer bias

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What is a limitation of a structured observation

May lack richness and depth of detail, making it difficult to draw conclusions from data gathered

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What is an unstructured observation

Researchers record the behaviour they see

40
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What are the strengths of an unstructured observation

  • what type of data does it produce

Produces a great deal of rich qualitative data

41
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What are the limitations of an unstructured observation

  • Can be difficult to analyse

  • tendency to notice more eye-catching behaviours which may lack relevance

  • can be difficult to record everything

  • risk of observer bias

42
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Define questionnaire

A set of questions used to asses a person's thoughts and feelings as well as their experiences

43
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What are the strengths and limitations of closed questions

  • They produce quantitative data

  • This data is easy and simple to analyse

  • Data lacks depth and detail

44
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Define an interview

A live encounter where one person asks the participant a list of questions to asses their thoughts/experiences

45
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Outline a structured interview

Pre determined set of questions that are asked in a fixed order

46
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Outline an unstructured interview

  • There are not set questions but the interview still has a general aim

  • The participant is encouraged to expand and elaborate on their answers as much as possible

47
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Define a semi-structured interview

Still contains some set questionsInterviewers are able to ask follow-up questions based on previous answers

48
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What are the strengths of questionnaires

  • Cost effective

  • They can gather large amounts of data quickly as they can be distributed to a large number of people

  • Can be completed without the researcher present - reduces researcher bias

  • The data is usually straightforward to analyse

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What are limitations of questionnaires

  • Ps may be vulnerable to demand characteristics and social desirability bias

  • May produce a response bias (tendency to answer questions in a similar way)

    • acquiescence bias is the tendency to agree with questions

50
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What are the strengths and weaknesses of structured interviews

  • Straightforward to replicate due to standardised format

  • Although it prevents topic deviation and unexpected information, it will lack richness and depth of detail in terms of data and conclusions that can be drawn about the participant

51
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Define correlation

A technique to investigate an association between co-variables

52
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Define co-variables

The variables investigated within a correlation and show an association

53
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Define zero correlation

When there is no relationship between the co-variables

54
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How are correlations plotted

Scattergraphs

55
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What is the difference between experiments and correlations

Experiments

  • The researcher controls or manipulates the IV to measure the effect this has on the DV

  • As a result, it's possible to infer that this deliberate change in variables, it's possible to infer that the IV caused any observed changes in the DV

Correlations

  • No manipulation of one variable, no cause and effect can be established

  • Investigating a relationship between two covariables

56
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What are strengths of correlations

  • Provide a precise and quantifiable measure of how two variables are related this can suggest possible future research if variables are strongly related or demonstrate an interesting pattern

  • Quick and economical to conduct

  • No need for a controlled environment or manipulation of variables

  • Secondary data can be used

57
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What are limitations of correlations

  • They can only tell us how variables are related and not why due to lack of experimental manipulation

  • Correlations don't establish cause and effect meaning we don't know what co-variable is causing the other to change (direction of effect)

  • Correlations can easily be misinterpreted and misused

58
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What is an Intervening variable, and bow does it negatively impact correlations

An untested variable that that causes the relationship between the co-variables of interest

59
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What is the Yerkes-Dodson law of arousal?

Performance is at its best when there is a moderate (optimum) level of arousal and will deteriorate if the arousal is too low or too high

60
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Performance is at its best when there is a moderate (optimum) level of arousal and will deteriorate if the arousal is too low or too high

What is the Yerkes-Dodson law of arousal?