Research Methods Flashcards

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1
Q

What is a Laboratory Experiment

A

These are conducted under controlled conditions, in which the researcher deliberately changes something (I.V.) to see the effect of this on something else (D.V.).

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2
Q

Strengths of Laboratory Experiment

A

Control – lab experiments have a high degree of control over the environment & other extraneous variables which means that the researcher can accurately assess the effects of the I.V, so it has higher internal validity.

Replicable – due to the researcher’s high levels of control, research procedures can be repeated so that the reliability of results can be checked.

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3
Q

Limitations of laboratory experiments

A

Lacks ecological validity – due to the involvement of the researcher in manipulating and controlling variables, findings cannot be easily generalised to other (real life) settings, resulting in poor external validity.

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4
Q

What is field experiment

A

These are carried out in a natural setting, in which the researcher manipulates something (I.V.) to see the effect of this on something else (D.V.).

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5
Q

Strengths of Field experiment

A

Validity – field experiments have some degree of control but also are conducted in a natural environment, so can be seen to have reasonable internal and external validity.

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6
Q

Limitations of Field Experiment ?

A

Less control than lab experiments and therefore extraneous variables are more likely to distort findings and so internal validity is likely to be lower.

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7
Q

Natural experiments

A

are studies where the experimenter cannot manipulate the IV, so the DV is simply measured and judged as the effect of an IV.

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8
Q

Strengths of natural experiment?

A
  • The natural settings where such experiments take place mean that results will have high ecological validity (i.e. they should relate well to real life behaviour).
  • Demand characteristics are often not a problem, unlike laboratory experiments (i.e. participants are less likely to adjust their natural behaviour according to their interpretation of the study’s purpose, as they might not know they are taking part in a study).
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9
Q

Weakness of natural experiments?

A
  • Being unable to randomly allocate participants to conditions means that sample bias may be an issue (e.g. other extraneous variables that change with the pre-set IV group differences may confound the results, meaning a causal IV-DV effect is unlikely).
  • Ethical issues such as lack of informed consent commonly arise, as deception is often required; debriefing, once the observation/experiment has ended, is necessary.
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10
Q

Quasi experiment

A

Quasi-experiments contain a naturally occurring IV. However, in a quasi-experiment the naturally occurring IV is a difference between people that already exists (i.e. gender, age). The researcher examines the effect of this variable on the dependent variable (DV).

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11
Q

Strengths of Quasi experiment?

A

High ecological validity – due to the lack of involvement of the researcher; variables are naturally occurring so findings can be easily generalised to other (real life) settings, resulting in high external validity.

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12
Q

Limitations of Quasi experiment?

A

Lack of control – natural experiments have no control over the environment & other extraneous variables which means that the researcher cannot always accurately assess the effects of the I.V, so it has low internal validity.

Not replicable – due to the researcher’s lack of control, research procedures cannot be repeated so that the reliability of results cannot be checked.

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13
Q

Questionnaires ?

A

Questionnaires are a written self-report technique where participants are given a pre-set number of questions to respond to. They can be administered in person, by post, online, over the telephone, or to a group of participants simultaneously.

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14
Q

What are closed questions ?

A

Closed questions – where there is a pre-determined set of answers to choose from
e.g. ‘Do you exercise?’ may have set responses of ‘yes/no’, or ‘I exercise 0/1/2/3+ times a week’)

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15
Q

What are open questions?

A

Open questions – where there is no restriction on how participants make their response
e.g. ‘How does the sight of seeing dogs in a public place without a lead make you feel?’

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16
Q

Strengths of questionnaire?

A
  • Questionnaires are a relatively cheap and quick way to gather a large amount of data.
  • Since questionnaires can be completed privately (and often anonymously), responses may be more likely to be honest. However, not having an experimenter to supervise its completion could present a problem.
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17
Q

Weakness to questionnaire?

A
  • Social desirability issues may arise, where participants give incorrect responses to try to put themselves in a socially acceptable light.
  • Distributing questionnaires en masse (e.g. via post or the internet) means that any data collected relies on responses to be returned; response rates are often poor, plus it may be that only a certain type of person returns questionnaires, so generalising the sample of results to a large population can be unconvincing.
  • Questionnaires may be flawed if some questions are leading (i.e. they suggest a desired response in the way they are worded).
  • If any questions are misunderstood, participants completing questionnaires privately cannot get clarification on the meaning/responding accurately from an experimenter, so may complete them incorrectly.
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18
Q

Self report techniques?

A

Self-report techniques describe methods of gathering data where participants provide information about themselves without interference from the experimenter.

Such techniques can include questionnaires, interviews, or even diaries, and ultimately will require giving responses to pre-set questions.

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19
Q

Strengths of self report ?

A
  • Participants can be asked about their feelings and cognitions (i.e. thoughts), which can be more useful than simply observing behaviour alone.
  • Scenarios can be asked about hypothetically without having to physically set them up and observe participants’ behaviour.
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20
Q

Weakness of self report methods?

A
  • Gathering information about thoughts or feelings is only useful if participants are willing to disclose them to the experimenter.
  • Participants may try to give the ‘correct’ responses they think researchers are looking for (or deliberately do the opposite), or try to come across in most socially acceptable way (i.e. social desirability bias), which can lead to giving untruthful responses.
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21
Q

Interviews

A

Interviews are self-report techniques that involve an experimenter asking participants questions (generally on a one-to-one basis) and recording their responses.

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22
Q

What are structured interviews?

A

Structured – where the interviewer has a set list of questions to lead the conversation, a framework which will be rigidly stuck to

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23
Q

Unstructured interviews

A

Unstructured – where the interviewer may have a list of topics or questions, but has extra flexibility to lead the conversation further, should participant responses lead to deeper/more detailed discussion

24
Q

Advantages of interviews?

A
  • Unstructured interviews provide potential to gather rich and detailed information from each participant – more so than questionnaires.
  • The conversational nature of unstructured interviews is best suited to discussing complex or sensitive issues, as participants are more likely to relax and give better responses as the dialogue flows.
  • Interviews can be used as part of a pilot study to gather information prior to conducting proposed research.
25
Q

Disadvantages of interviews?

A
  • There is a lot of time and expense involved when training interviewers, to conduct unstructured interviewers in particular.
  • Social desirability bias can be a problem with self-report techniques, i.e. participants give responses that are thought to be the most socially acceptable, rather than necessarily truthful.
  • Interview data can be a time-consuming task to analyse and interpret when it is so detailed (and in a qualitative [written] format).
  • Interviews require participants to have basic competencies for interviews to be successful (e.g. adequate communication skills, memory, honesty) which could potentially limit the sample’s size and representativeness of the population if not met.
26
Q

Types of observation?

A
  • Natural observation
  • Controlled observation
  • Covert observation
  • Overt observation
  • participant observation
  • non-participant observation
27
Q

Natural observation?

A

An observation study conducted in the environment where the behaviour would normally occur.

28
Q

Controlled observation

A

An observation study where the researchers control some variables - often takes place in laboratory setting.

29
Q

Covert observation

A
  • Covert observation is where the researcher is “undercover”; the participants are unaware that they are being observed.
  • Most famous examples of covert observation are also examples of participant observation, however, it would be possible to conduct a non-participant covert observation with CCTV, for example.
30
Q

Overt observation

A

Also known as a disclosed observation as the participants given their permission for their behaviour to be observed.

31
Q

Participant observation

A

Observation study where the researcher actually joins the group or takes part in the situation they are observing.

32
Q

Non participant observation

A

A non-participant observation is one where the researcher chooses not to play any part in what is being observed.

33
Q

Strengths of natural observation?

A

High ecological validity as the researcher records naturally occurring behaviour in a natural environment, without any outside interference from the researcher

34
Q

Limitations of natural observation

A

Cannot be replicated to check reliability, as the researcher is not in control of variables.

35
Q

Strengths of Controlled observation

A

Low ecological validity as the researcher records behaviours in an artificial (manipulated) environment, with potential outside interference from the researcher.

36
Q

Limitations of controlled observation?

A

Can be replicated to check reliability, as the researcher is in control of variables and therefore can repeat the method as they wish

37
Q

Strengths of covert observation

A

Investigator effects are unlikely meaning that participants’ behaviour will be genuine.

38
Q

Limitations of covert observation

A

Less ethical as participants are not aware they are taking part and cannot give fully informed consent

39
Q

Strengths of overt observation

A

It is possible to inform participants in advance and obtain informed consent.

40
Q

Limitations of overt observation

A

Behaviour can be distorted through investigator effects in which the participant changes their behaviour through social desirability bias

41
Q

Strengths of participant observation

A

The researcher can obtain in-depth data as they are in close proximity to the participants and so are unlikely to overlook or miss any behaviours.

42
Q

Limitations of participant observation

A

The researchers’ presence might influence the participants’ behaviour due to evaluation apprehension,

43
Q

Strengths of Non participants observation

A

Investigator effects and evaluation apprehension are less likely as the researcher is not visible.

44
Q

Limitations of non participant?

A

Due to a lack of proximity the researcher might overlook or miss behaviours of interest.

45
Q

What is a correlation?

A

A correlation checks to see if two sets of numbers are related; in other words, are the two sets of numbers corresponding in some way.

46
Q

What are co-variable ?

A

The variables investigated in a correlation.

47
Q

How can do variables be plotted?

A

Once data has been collected for each of the co-variables, it can be plotted in a scattergram and/ or statistically analysed to produce a correlation coefficient.

48
Q

What do scattergrams and coefficient indicate?

A

Scattergrams and coefficients indicate the strength of a relationship between two variables, which highlights the extent to which two variables correspond.

The relationship between two variables will always produce a coefficient of between 1 and -1.

49
Q

What is a negative correlation?

A

Coefficients with a minus in front of them highlight a negative correlation which means that as one set of numbers is increasing the other set is decreasing or as one decreases the other increases, so the trend in the data from one variable opposes the other.

50
Q

What is a positive correlation?

A

In contrast, coefficients which are positive indicate that both sets of data are showing the same trend, so as one set of data increases so does the other or as one set decreases the same trends is observed in the second set of data

51
Q

Experiments vs correlation?

A
  • The most fundamental difference between experiments and correlations is that experiments assess the effect of one variable, (I.V.) on another variable which is measured (D.V.).

-This necessitates that data is discrete or separate and the effect of this on something else is being measured.

-In contrast, correlations do not use discrete separate conditions, instead, they assess how much of a relationship exists between two co-occurring variables which are related.

52
Q

Strengths of Correlations?

A

Correlations are very useful as a preliminary research technique, allowing researchers to identify a link that can be further investigated through more controlled research.

Can be used to research topics that are sensitive/ otherwise would be unethical, as no deliberate manipulation of variables is required.

53
Q

Limitations of correlation

A

Correlations only identify a link; they do not identify which variable causes which. There might be a third variable present which is influencing one of the co-variables, which is not considered.

Eg. stress might lead to smoking/ alcohol intake which leads to illness, so there is an indirect relationship between stress and illness.

54
Q

Content analysis?

A

Content analysis is a method used to analyse qualitative data (non-numerical data). In its most common form it is a technique that allows a researcher to take qualitative data and to transform it into quantitative data (numerical data). The technique can be used for data in many different formats, for example interview transcripts, film, and audio recordings.

55
Q

Strengths of content analysis?

A
  • It is a reliable way to analyse qualitative data as the coding units are not open to interpretation and so are applied in the same way over time and with different researchers
  • It is an easy technique to use and is not too time consuming

-It allows a statistical analysis to be conducted if required as there is usually quantitative data as a result of the procedure

56
Q

Weakness of content analysis?

A

Causality cannot be established as it merely describes the data

As it only describes the data it cannot extract any deeper meaning or explanation for the data patterns arising.

57
Q

Procedure for content analysis?

A
  1. Data is collected
  2. Researcher reads through or examines data getting familiar with it
  3. The researcher identifies coding units
  4. The data is analysed by applying the coding units
    5.) A tally is made of the number of times that a coding unit appears