Research Methods -> Experimental Methods Flashcards
Laboratory experiments
- Research is carried out in a controlled way.
- For an experiment to be successful, the DV and IV must be operationalised
- There may also be confounding variables which the experimenter will try and control
- The other variables than an experimenter wants to hold constant are called extraneous variables. The aim of controlling EVs is to minimise their possible impact on the results of the investigation.
- Laboratory experiments are conducted in an artificial setting
Strengths of lab experiments
The effects of extraneous variables are minimised, so the experimenter can be more confident that is the independent variable which has affected the dependent variable
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Strict controls means it is easier to replicate the study to test to reliability of findings
Weaknesses of lab experiments
Lack of ecological validity because the setting is artificial, experiments may not be a reflection of real-life behaviour.
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Demand characteristics as participants may guess the aim of the experiment
Field Experiments
Behaviour is measured in a natural environment like a school or street. The independent variable is manipulated by the experimenter (i.e. participants are put into conditions) so that its effect can be measured through the dependent variable
Strengths of field experiments
Field experiments are less artificial than those done in a laboratory, so they have higher ecological validity.
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Demand characteristics can be avoided in a field study if participants aren’t aware that they’re in a study.
Weaknesses of field experiments
It is harder to minimise extraneous variables in a field study, making it harder to come to a conclusion. Also less control over the sample
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Ethics - participants who didn’t agree to take part might experience distress and can’t be debriefed. Observation must respect privacy.
Natural experiments
A natural experiment is a study that measures variables that aren’t directly manipulated by the experimenter. This then means that the IV is naturally occurring.
Strengths of natural experiments
High level of ecological validity because the experiment is carried out in a natural environment and the IV is not manipulated but naturally occurring, this allows for natural behaviour to be measured
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Makes it possible to study variables that it would be unethical or impossible to manipulate
Weaknesses of natural experiments
You can’t randomly allocate participants to each condition, and so extraneous variables may affect results making it very difficult to reach conclusions.
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Some groups of interest are hard to find e.g. a community which doesn’t have TV
Quasi-Experiment
This is very similar to a natural experiment in that the IV is not directly manipulated. However, Quasi experiments are generally carried out in a lab setting.
Strengths of Quasi experiments
The effects of extraneous variables are minimised, so the experimenter can be more confident that is the independent variable which has affected the dependent variable.
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Strict controls means it is easier to replicate the study to test to reliability of findings.
Weaknesses of Quasi experiments
Lack of ecological validity because the setting is artificial, these experiments may not be a reflection of real-life behaviour.
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Demand characteristics as participants may guess the aim of the experiment and alter the behaviour.
Randomisation:
the use of chance in order to control for the effects of bias when designing materials and deciding the order of conditions. For example, to make sure that a list of words are not too easy or too hard, it is a good idea to put them in random order which can be done through a computer or manually.
Standardisation:
Using exactly the same formalised procedures and instructions for all participants in a research study – this improves the reliability of the study
Confounding Variables:
Variables that actually interfere with the measuring of the DV
Extraneous variables:
these are variable that could interfere with the measuring of the IV and can be subdivided into participant variables and situational variables. Participant variables are any individual differences between participants that may affect the measuring of the DV