Research Methods Flashcards

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1
Q

Define Independent Variable

A

This is the variable that the researcher manipulates in order to determine its effect on the dependent variable. It may be divided into levels called experimental conditions. To provide a standard against which experimental conditions can be compared there may be a control condition where the IV is not manipulated at all.

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2
Q

Define Dependent Variable

A

This is the variable that is being measured.

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3
Q

Define Extraneous Variables

A

These are any variables other than the IV that could affect the DV.

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4
Q

Define Confounding Variables

A

These are any variables other than the IV that have affected the DV.

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5
Q

What is a Laboratory Experiment?

A

This is when an experiment is carried out in a controlled environment, such as a laboratory, allowing the researcher to exert a high level of control over the IV and eliminate any EV. The researcher can then observe and measure the change in DV caused by their manipulation of the IV.

Participants are usually randomly allocated to a condition. This means neither the experimenter nor the participants decided which condition the participant is placed in, an unpredictable method (such as flipping a coin) is used to decide.

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6
Q

What are the advantages of a laboratory experiment?

A
  1. The high level of control possible in a laboratory means that it is easy to control for any EV and prevent them from becoming CV.
  2. As the researcher can manipulate the IV, they can establish a cause and effect relationship between the IV and the DV.
  3. A well carried out laboratory experiment can be easily replicated by other researchers to see if similar results can be obtained. If the findings are similar to the original study then the results are reliable. (This means that the study can be conducted repeatedly with the same results being found each time which means the results are not due to chance or confounding variables).
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7
Q

What are the disadvantages of a laboratory experiment?

A
  1. There is a strong chance of demand characteristics (this is a type of EV where participants figure out what the experiment is about and so alter their behaviour).
  2. By exerting a high level of control over the IV and extraneous variables, the experimental situation can lack mundane realism (the extent to which an experiment reflects real life). This means the study does not have ecological validity (the ability to generalise the findings of a piece of research to real life situations).
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8
Q

What is a field experiment?

A

This is when an experiment is conducted in the real life world or in a natural setting, such as a classroom. The IV can still be manipulated or controlled to see its effect on the DV.

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9
Q

What are the advantages of a of a field experiment?

A
  1. There is more mundane realism and ecological validity than in a laboratory.
  2. There is less chance of demand characteristics because in a field experiment the participants might not even be aware that they are taking part in research and so they will behave naturally.
  3. Because the research can still manipulate the IV, a cause and effect relationship between the IV and the DV can be established.
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10
Q

What are the disadvantages of a field experiment?

A
  1. Field experiments may be far more difficult to replicate.
  2. There is much less control over EV and so the effect on the DV may not be caused by the IV but by these EV. This means the research is not valid (it is not measuring what it intends to measure).
  3. There is less control over the sample (this is who is taking part in the experiment).
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11
Q

What is a Quasi experiment?

A

This is occurs when the researcher is not able to randomly allocate participants to different conditions of the experiment. This is usually because the IV is a quality of the participant (for instance, you may be comparing adults to children, or males to females).

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12
Q

What is a Natural Experiment?

A

For this type of experiment, the researcher takes advantage of a naturally occurring IV to see its effect on the DV.

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13
Q

What are the advantages of a natural experiment?

A
  1. There is a high level of mundane realism and ecological validity.
  2. It is very useful when it is impossible or unethical to manipulate the IV or sample in a laboratory or field experiment.
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14
Q

What are the disadvantages of a natural experiment?

A
  1. Less control over EV.
  2. Difficult to replicate.
  3. Far more difficult to determine cause and effect.
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15
Q

What is an Observation?

A

An observation is when a researcher watches or listens to participants engaging in whatever behaviour is being studied.

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16
Q

What is a Non-Participant Observation?

A

This is when the researcher does not get directly involved with the interactions of the participants.

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17
Q

What is a Participant Observation?

A

This is when the researcher is directly involved with the interactions of the participants.

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18
Q

What is a Covert Observation?

A

The psychologist goes undercover and does not reveal their true identity (that they are a psychologist observing the group). The psychologist may even give themselves a new identity and the group does not know that they are being observed.

19
Q

What is an Overt Observation?

A

The psychologist reveals their true identity and might also state that they are observing the group. This can mean that demand characteristics occur as participants could change their behaviour when they know they are being observed, leading to invalid results.

20
Q

What is a Naturalistic Observation?

A

A researcher observed participants in their own environment and there is no deliberate manipulation of the independent variable.

Example: a study conducted by Anderson. He observed children in a London park and noticed that it was very unusual for a child who was under three years of age to wander more than 200 metres from their mother.

21
Q

What are the advantages of a naturalistic observation?

A
  1. Participants are usually unaware that they are being observed (covert observation) so there is a reduced chance of demand characteristics.
  2. These studies have high mundane realism and ecological validity.
  3. Naturalistic observations are useful when the deliberate manipulation of variables would be impractical or unethical.
22
Q

What are the disadvantages of a naturalistic observation?

A
  1. It is impossible to have any control over extraneous variables.
  2. It is problematic to try to determine the cause of a behaviour because the variables are not manipulated.
  3. There is a risk of observer bias.
23
Q

What is a Controlled Observation?

A

A researcher observes participants in a controlled environment and this allows for manipulation of the independent variable.

Example: Ainsworth and Bell’s stranger situation. They observed how infants responded to a carefully controlled sequence of events, such as the mother leaving their infant and a stranger attempting to comfort them.

24
Q

What are the advantages of a controlled observation?

A
  1. Cause and effect can be determined.
  2. Extraneous variables can be controlled for.
  3. Rich and complex information is obtained.
25
Q

What are the disadvantages of a controlled observation?

A
  1. Lower ecological validity.
  2. Demand characteristics can occur as participants usually know they are being observed (overt observation).
  3. There is a risk of observer bias.
26
Q

What is observer bias?

A

If the observer knows the purpose of the study, then they may see what they want to see. Observers need to reliable, one way to check this is to have two observers and see if their observations correlate with one another. This is known as inter-rater reliability.

27
Q

What are Self-Report Techniques?

A

Self report techniques are research methods in which participants give information about themselves without researcher interference.

28
Q

What is an Interview?

A

Interviews involves researchers asking questions in face-to-face situations.

29
Q

What is a Structured Interview?

A

All participants are asked the same questions in the same order. This provides quantitative data, which is data that can be counted or expressed numerically.

30
Q

What is an Unstructured Interview?

A

An informal in-depth conversational exchange between the interviewer and the interviewee. This provides qualitative date, non-numerical data that uses words to give a description of what people think and feel.

31
Q

What is a Semi-Structured Interview?

A

This type of interview combines a mixture of structured and unstructured techniques producing both quantitative and qualitative data.

32
Q

What are the advantages of interviews?

A
  1. Complicated or sensitive issues are best dealt with in an interview.
  2. If participants misunderstand a question this can be clarified in an interview.
33
Q

What are the disadvantages of interviews?

A
  1. There is a risk of interviewer effects (when the interviewer may inadvertently affect respondent’s answers). This can be unintentional and may even be a result of the interviewer’s appearance, manner or gender.
  2. There is also a risk of social desirability (when people lie to present themselves in a positive light, particularly when discussing issues that may be socially sensitive).
  3. Training is needed for interviewers and the process can be time consuming and expensive.
34
Q

What is a Questionnaire?

A

Participants are given a written set of questions and instructions about how to record their answers. Questionnaires mainly focus on the individual’s behaviour, opinions, beliefs and attitudes.

35
Q

What are Closed Questions?

A

This type of questions require participants to answer yes/no or choose from fixed responses (quantitative data).

36
Q

What are Open Questions?

A

This type of question allows the participant to answer in their own words (qualitative data).

37
Q

What are the advantages of questionnaires?

A
  1. It is quick, easy and relatively cheap to have a large sample and collect a large amount of data.
  2. Questionnaires are time efficient because the researcher does not have to be present in order for the questionnaire to be completed.
  3. Questionnaires are very easy to replicate and this means their reliability can be established.
38
Q

What are the disadvantages of questionnaires?

A
  1. Questions can be ambiguous and the researcher is not there to explain so questions may be misunderstood or participants could misinterpret the questions.
  2. Questionnaires can have a low response rate.
  3. Questionnaires can have a biased sample as they are only suitable for people who can read and are willing and able to spend time on them. Certain types of people would be more willing to fill in questionnaires (e.g. people without busy careers) and so the sample may not be representative of the target population).
39
Q

What is Correlation?

A

Correlation is a technique for analysing the strength of the relationship between two quantitative variables, known in correlation as co-variables. The data for a correlation is usually obtained from a non-experimental source, such as a survey.

40
Q

What can a correlation show?

A

This analysis can show:

  • Positive correlation: as a variable increases, the other increases.
  • Negative correlation: as a variable increases, the other decreases.
  • No correlation
41
Q

What is a correlation coefficient?

A

The strength of a correlation is known as the correlation coefficient.

The strength of a correlation can be between -1 and +1.
0 means there is no correlation.
-1 means a strong negative correlation.
+1 means a strong positive correlation.

42
Q

What are the advantage of correlational analysis?

A
  1. This technique allows psychologists to establish the strength of the relationship between two variables and measure it precisely.
  2. This technique also allows researchers to investigate things that could not be manipulated experimentally for ethical or practical reasons.
  3. Once a correlation has been conducted, predictions can be made about one of the variables based on what is known about the other variable.
43
Q

What are the disadvantages of correlational analysis?

A
  1. Correlational analysis cannot determine cause and effect, we cannot tell which variable influences the other.
  2. Even of there is a correlation between two variables, it may be the case that the variables are not actually related but there is a third unknown variable that influences both.
  3. Correlation can only measure linear relationships and does not detect curvilinear relationships. This is when there is a positive relationship up to a certain point but after that the relationship becomes negative (or vice versa).