Experimental methods Flashcards
what are the different types of variables?
- Independant variable
- Dependant variable
- Extraneous variables
- Confounding variables
What is an independant variable?
- variable that the researcher manipulates in order determine its effect on the dependant variable = experimental conditions
e. g. 20g chocolate, 10g of chocolate and no chocolate (control condition)
what is the control condition?
to provide a standard against which experimental conditions can be compared, there may be a control condition where IV is not manipulated
e.g. no chocolate
what is the dependant variable?
this is the variable that is being measures
what are extraneous variables?
these are any other variables other than the IV that COULD affect the DV
e.g. how tired (sleep), food + drink (hunger), weather
what are confounding variables?
these are any variables other than the IV that HAVE affected the DV
e.g. light, noise
what is operationalisation?
give an example
variable needs to be defines + stated how it will be measures
e.g. operationalise the term happiness:
happiness is a feeling of content/how positive someone is
this can be measured by how many times someone smiles in a 10 minute period
what are the different types of experiments?
- laboratory experiments
- field experiments
- natural experiments
- quasi experiments
describe laboratory experiments
- experiment is carried out in a controlled environment e.g. lab = allows high level of control over IV + eliminate EV
- researcher can observe + measure change in DV caused by manipulation of IV
- carried out in an artificial setting
- participants are randomly allocated (unpredictable way) to a condition
- experimenter wants to hold EV constant to minimise impact on results
- EV e.g. participant’s personality/ personal experiences
what are the ads of a laboratory experiment?
- very high level of control over the IV and conditions = easy to control for any extraneous variables + prevent them from becoming confounding variables that can affect the measurements of data collected
- researcher can measure/manipulate the IV + establish a cause and effect relationship between the IV and DV
- the experiment can be easily repeated/replicated by other researchers to see if similar results can be obtained = if so, then it’s reliable
what are the disads of a laboratory experiment?
- demand characteristics may occur = participants may guess what the aim of the study is and change their behaviour accordingly so the data becomes invalid e.g. parts may behave in a more positive light than normal = social desirability bias
- establishing a high level of control over IV and EV can mean that the experimental situation can lack mundane realism (extent to which the experiment reflects real life) –> lab study doesn’t have ecological validity (ability to generalise findings to other real life situations/places/contexts)
what are field experiments?
- experiment carried out in real world or natural setting rather than in an artificial setting of lab
- IV is manipulated/controlled by researcher to see effect on DV
e.g. observe people in street
what are the ads of a field experiment?
- there is more mundane realism + ecological validity than in a laboratory = reflects real life more than a lab experiment
- because the researcher can manipulate the IV, a cause and effect relationship between the IV and DV can be established
- less chance of demand characteristics compared to lab experiment = in a field experiment, parts may not even be aware that they’re taking part in research so they’ll behave more naturally = more valid data collected
what are the disads of field experiments?
- less control over EV when compared to lab experiment
= effect on DV may not be caused by IV but by EV
–> means that research is not valid (not measuring what it intends to research) - less control over sample = sample may not be representative of target population
- may be difficult to replicate which means they may be unreliable compared to lab experiments
what is a natural experiment?
- researcher takes advantage of a naturally occurring IV to see its effect on the DV
- measures variables that aren’t directly manipulated by experimenter = IV naturally occuring
- experimenter is finding parts who have already met the conditions of the experiment rather than allocating parts to conditions themselves