Designing an Experiment
Design an experiment to test the effectiveness of a new aspirin product.
The hypothesis of the experiment is that the group who receives the new aspirin product will report a greater lessening of pain than the group who receives who do not receive the new aspirin product.
The IV is the administration of the drug. The experimental group would receive new aspirin product drug while the control group would receive a placebo.
The DV is the subject’s self-reports concerning the relief of pain. They would make their judgments on a 5-point scale.
A population of people suffering from pain would be identified and then a random sample selected. Random sampling would remove any confounding variable such as race, age, sex and so on. Generalizations can then be made to the entire population.
Participants would then be randomly assigned to the experimental group and the control group. This also controls any possible confounding variables.
To control for experimenter bias and participant bias the experimental design would be a double blind one. Neither the administrator of the drugs nor the participants would know whether they are receiving the new aspirin product or a placebo.
Descriptive statistics would be used to display the data. Data would then be analyzed using inferential statistics. The average scores of the two groups would be compared. If the results showed a significant difference, i.e. the difference was not just a chance occurrence, then the hypothesis would be accepted.
The hypothesis of the experiment is that the group who receives the new aspirin product will report a greater lessening of pain than the group who receives who do not receive the new aspirin product.
The IV is the administration of the drug. The experimental group would receive new aspirin product drug while the control group would receive a placebo.
The DV is the subject’s self-reports concerning the relief of pain. They would make their judgments on a 5-point scale.
A population of people suffering from pain would be identified and then a random sample selected. Random sampling would remove any confounding variable such as race, age, sex and so on. Generalizations can then be made to the entire population.
Participants would then be randomly assigned to the experimental group and the control group. This also controls any possible confounding variables.
To control for experimenter bias and participant bias the experimental design would be a double blind one. Neither the administrator of the drugs nor the participants would know whether they are receiving the new aspirin product or a placebo.
Descriptive statistics would be used to display the data. Data would then be analyzed using inferential statistics. The average scores of the two groups would be compared. If the results showed a significant difference, i.e. the difference was not just a chance occurrence, then the hypothesis would be accepted.
posted by Peter Anthony @ SAS at
7:08 AM
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