Research Methods Flashcards

1
Q

Aims:

A

A general statement of the researcher is trying to investigate.

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2
Q

Hypothesis:

A

A clear, precise, and testable statement which the researcher is investigating.

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3
Q

Directional Hypothesis:

A

The sort of difference is made clear.

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4
Q

Non - directional Hypothesis:

A

The sort of difference isn’t made clear.

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5
Q

Variables:

A

Anything in an experiment that can change.

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6
Q

Independent Variable:

A

The variable that is changed by the researcher.

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7
Q

Dependent Variable:

A

The variable that is measured, effect on the dependent variable is normally caused by the independent variable.

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8
Q

Operationalisation:

A

Making variables into actual things you can measure. E.g. mental health into a survey about your mental health.

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9
Q

Extraneous Variables:

A

Additional variables that influence the dependent variable which aren’t the independent variable.

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10
Q

Confounding Variables:

A

A type of extraneous variable which changes systematically with the IV, it changes at the same rate.

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11
Q

Demand Characteristics:

A

When a participant works out what an experiment is about and what they believe is expected of them by the experimenter. They may either try to please you, and do what they think is expected because they care about the advancement of science, or they will try to screw you, this is where they try to intentionally mess up the experiment because they’re against the advancement of science.

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12
Q

Investigator effects:

A

Any effect of the investigator’s behaviour (conscious or unconscious) which may affect the outcome (the DV). This could be an interaction between the investigator and the participant.

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13
Q

Randomisation:

A

The use of chance methods to control for the effects of bias when designing materials and deciding the order of experimental conditions.

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14
Q

Standardisation:

A

Using exactly the same formalised procedures and instructions for all participants in a research study.

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15
Q

Experimental design:

A

Different ways in which participants can be organised.

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16
Q

Independent groups design:

A

Participants are allocated to different groups where each group represents one experimental condition (e.g. caffeine, no caffeine).

17
Q

Repeated measures:

A

All participants take part in all conditions of the experiment.

18
Q

Matched pairs design:

A

Pairs of participants are matched on some variable(s) that may affect the dependent variable. Then one member of the pair is assigned to condition a and the other to condition b.

19
Q

Random Allocation:

A

An attempt to control for participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition as any other.

20
Q

Counterbalancing:

A

An attempt to control for the effects of order in a repeated measures design, half the participants experience the conditions in one order and the other half in the opposite order.

21
Q

Lab Experiment:

A

An experiment that takes place in a controlled environment within the researcher manipulates the independent variable and records the effect on the dependent variable whilst maintaining the control of extraneous variables.

22
Q

Field Experiment:

A

An experiment that takes place in a natural setting within which the researcher manipulates the independent variable and records the effect on the dependent variable.

23
Q

Natural Experiment:

A

An experiment where the change in the independent variable is not brought about by the researcher but would have happened even if the researcher had not been there, the researcher records the effect on a dependent variable.

24
Q

Quasi-Experiment:

A

A study that is almost an experiment but lacks key ingredients. The IV has not been determined by anyone.

25
Q

Population:

A

A group of people who are the focus of the researcher’s interest, from which a smaller sample is drawn.

26
Q

Sample:

A

A group of people who take part in a research investigation. The sample is drawn from a target population and is presumed to be representative of that population.

27
Q

Sampling Techniques:

A

The method used to select people from the population.

28
Q

Bias:

A

When certain groups are over or under represented within the sample selected.

29
Q

Generalisation:

A

The extent to which findings and conclusions from a particular investigation can be broadly applied to the population.

30
Q

Random Sample:

A

All members of a target population have an equal chance of being selected.

31
Q

Systematic Sample:

A

Every nth member of the target population is selected.

32
Q

Stratified Sample:

A

Composition of the sample reflects the proportions of people in certain subgroups (strata) within the target population.

33
Q

Opportunity Sample:

A

Researchers select anyone that is available.

34
Q

Volunteer Sample:

A

Participants select themselves to be a part of a sample.