Psychology key vocab (Research Methods)

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24 Terms

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Extraneous variable

any variable other than the IV that could influence the DV

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Demand characteristic

Any cue that may inform the participant as to the purpose of an experiment

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Participant reactivity

Participants reacting to unnatural behaviour from the investigator

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Investigator effect

Any way the investigator themselves may affect the outcome/DV. This could be due to their behaviour or the design of their experiment

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Internal validity

Whether the design and conduct of a study can support that a causal relationship exists between the independent and dependent variables.

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Control group

The group of participants who receive no treatment. Their behaviour acts as a baseline against which the effect of the IV may be measured

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Randomisation

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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Standardisation

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

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Order effects

Changes in a participant's performance or behaviour caused by the sequence in which they experience conditions in a repeated measures design

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Lab experiment

The researcher manipulates the IV in a controlled environment

<p>The researcher manipulates the IV in a controlled environment</p>
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Field experiment

The researcher manipulates the IV in an everyday setting

<p>The researcher manipulates the IV in an everyday setting</p>
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Natural experiment

The researcher has no control over the IV, someone or something else does

<p>The researcher has no control over the IV, someone or something else does</p>
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Quasi experiment

The researcher cannot manipulate the IV, as it is an existing difference between people, such as age

<p>The researcher cannot manipulate the IV, as it is an existing difference between people, such as age</p>
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social desirability bias

To conform to social norms or expectations often to avoid embarrassment or gain approval

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Laboratory experiment - Strengths

  • Extraneous variables can be controlled

  • Randomisation can be done to improve internal validity

  • Samples sizes can be selected

  • Easily replicated

  • Standardisation can be done

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Laboratory experiment - Limitations

  • Participants may be uncomfortable in new scenario affecting performance

  • Hawthorne effect as they need to go into a new place

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Field experiment - Strengths

  • High ecological validity

  • Demand characteristics are less likely to occur as participant may not know they are being studied

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Field experiment - Limitations

  • Less control of extraneous variables

  • Randomisation is not always done

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Natural experiment - Strengths

  • More mundane realism

  • Can investigate IVs that would be unethical or impractical to do in an experiment

  • As investigator doesn’t affect IV, investigator effects less likely to occur

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Natural experiment - Limitations

  • People are not randomly allocated

  • Less standardisation

  • Extraneous variables likely to impact investigation

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Quasi experiment - Strengths

  • Can be done when there are practical or ethical reasons why participants can't be randomised

  • Can be used in real world settings

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Quasi experiment - Limitations

  • People are not randomly allocated

  • Lower internal validity due to no random assignment

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Population validity

The extent to which findings can be generalised to a wider population

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Researcher bias

An unintentional influence a researcher has on a study/procedure that affects the results/outcome