Research Methods Flashcards

1
Q

Independent variable (IV)?

A

the variable directly manipulated by the researcher.

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2
Q

Dependent variable (DV)?

A

the variable being measured in a study

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3
Q

Operationalisation

A

making the variables in an investigation detailed and specific.

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4
Q

Extraneous variable:

A

a variable that is not controlled, which could affect the results of a study.

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5
Q

Confounding variable?

A

an extraneous variable that affects the results of the study so that the effect of the IV is not truly being seen.

If an extraneous variable is not controlled, and so has an effect on the outcome, it is known as a confounding variable. This is because it confounds (damages) the res

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6
Q

Situational variable?

A

an extraneous variable present in the environment of the study.

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7
Q

Order effects?

A

when participants improve or worsen in the second condition because they have practised or become fatigued.

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8
Q

Demand characteristi

A

when the participant alters their behaviour in response to the perceived aims of the investigation.

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9
Q

Investigator effect?

A

when a researcher unintentionally gives clues to participants, altering their behaviour.

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10
Q

Participant variables?

A

extraneous variables specific to the participants of an investigation, for example their mood, ability or personality.

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11
Q

Standardised procedure?

A

where the procedure of a study is the same across all conditions.

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12
Q

Counterbalancing?

A

where half of the participant group experience condition A then condition B, while the other half experience condition B then condition A.

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13
Q

Randomisation?

A

when participants are randomly assigned to condition A or B as their first or second test condition.

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14
Q

Single-blind technique?

A

when information about the study is withheld from participants.

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15
Q

Double-blind technique?

A

when the aims of the study are withheld from both participants and researchers.

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16
Q

Random allocation?

A

when participants are randomly assigned to a condition of the study.

17
Q

Null hypothesis?

A

a prediction that the results will fail to show any difference (or relationship) that is consistent or systematic.

a prediction that the result or outcome will find no effect or very little effect. To write a null hypothesis, you need to imagine what would happen if you found very little effect of your IV on your DV.

18
Q

Alternative (experimental) hypothesis

A

a prediction of the outcome of a study based on what is expected to happen.

19
Q

Directional hypothesis?

A

a hypothesis that predicts the direction the results will go in.

20
Q

Non-directional hypothesis

A

a hypothesis that predicts that a difference/relationship will be found, but does not specify what the difference/relationship will be.

21
Q

Experimental hypothesis?

A

the name given to a hypothesis when used in field and laboratory experiments.

22
Q

Target population?

A

the group of people being investigated in a study.

23
Q

Sample?

A

a selection of the target population that is directly studied in an investigation.

24
Q

Generalisability?

A

the extent to which the results of a study represent the whole population, not just the sample used.

25
Q

Sampling method?

A

a technique used to gather a representative group of people as a sample from the target population.

26
Q

Sample error?

A

when a sample differs in qualities from the target population it intends to represent.

27
Q

Random sampling technique?

A

a technique used to gather a random sample of participants from the target population.

28
Q

strength of random sampling technique?

A

A random sampling technique should generate a representative sample as each member of the target population has an equal chance of being selected. This method helps control participant variables that may affect the findings of the whole study.

29
Q

weakness of random sampling technique?

A

Even if selected at random, however, participants still have to agree to take part in the research. Some may refuse to participate as this is ethically in their rights to do, which can lead to a less representative sample.

30
Q

Stratified sampling technique?

A

a technique that ensures subgroups of the target population are proportionately represented in a sample.

31
Q

strength of stratified sampling technique?

A

Stratified sampling is useful if a small subgroup of the target population may be missed by using a random sampling technique, and it ensures that the sample is completely representative as a cross section of a target population.

32
Q

weakness of stratified sampling technique?

A

-However, it is time-consuming

-people can still refuse to take part. This leads to a sample error, which can lead to invalid conclusions being drawn about the target population, less representative sample.

33
Q

Volunteer sampling technique?

A

a technique that asks for participants by placing an advert for volunteers.

34
Q

strength of volunteer sampling technique?

A

-involves minimal effort on the part of researchers in identifying and selecting a sample.

-It is possible to recruit from a target population by placing an advert in a specific location, for example.

-It is also the most ethical sampling method because participants do not have to be asked to participate directly, thus avoiding placing pressure on people to participate.

35
Q

weakness of volunteer sampling technique?

A

-less representative than random or stratified sampling because not everyone in a target population will see the advert or want to respond.

-It can also lead to a biased sample as volunteers tend to be a particular type of personality or have time and the inclination to participate. This may mean that the findings are unreliable.

36
Q

Opportunity sampling technique?

A

a technique that recruits participants who are readily available at the time.

37
Q

strength of opportunity sampling technique?

A

-This is the quickest and simplest sampling technique available to researchers

38
Q

weakness of opportunity sampling technique?

A
  • can lead to a biased sample because not every member of the target population may be around at the time of the study.

-if the study were replicated at a different time of day/week, findings may differ and so may be unreliable.

39
Q

Biased sample?

A

when the sample recruited is made up of a particular type of person, which may not reflect the target population.