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What Is the Main Purpose for Using Randomization in an Experiment? Here Are Your Answers in Random Order

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What Is the Main Purpose for Using Randomization in an Experiment? Here Are Your Answers in Random Order Quiz 3 12pm Class Question: What is the main purpose for using randomization in an experiment? Here are your answers in random order. See my comments. To get the non-bias response. Good. To make sure the results are not bias and true Good, although the word “true” doesn’t make sense here. to prevent bias. to try to make the experiment as accurate as possible. Good, although the word “accurate” doesn’t really make sense here. It is to ensure all the groups in the study are as similar as possible and to reduce any bias or lurking variables that can influence the outcome of the study. Good. To get rid of biases. Good. < No Response Given > Randomization helps control lurking variables. Good. To include a sample representative of the population. No. The main purpose for using randomization in an experiement is to automatically control the lurking variable Good. The main purpose for using randomization in an experiment is to control the lurking variable and establish a cause and effect relationship. Also, by randomizing an experiment the evidence is more supported. Good. The main purpose for using randomization in an experiment is to make sure that the results are accurate. You want to avoid biasis and lurking variables. Having a randomized experiment will help you to make sure that your information is correct You got the idea, but the work “accurate” doesn’t make sense here, also “…your information is correct” doesn’t make sense. There is no correct or incorrect information in an experiment. You conduct the experiment and the response is your data, your information. But it’s not correct, or incorrect. The main purpose for using randomization in an experiment is to try to eliminate bias as much as possible. You must be fair and pick from each gender, race, or creed. Try to use as neutral wording as possible and don't swayed anyone in one direction or the other. Good. It is to insure the experiment does not have bias. Good. Randomization in an experiment get rids of biases. Good. Using randomization in an experiment can establish a cause and effect relationship. Under random assignment the groups shouldn't differ significantly with respect to potential lurking variables. Experiments with randomization of treatments establish a clearer causal relationship and it controls for all lurking variables. Very good. the purpose is to eliminate bias and make sure the sample is representative of the entire population. The first part is correct, but the purpose of randomization is not to have a representative sample, that’s called random sampling. To eliminate affect of possible lurking variables Good. To decrease the biased responses received from the random samples. Good. The main purpose for using randomization in an experiment is that it automatically controls for all lurking variables. In a randomized controlled experiment, researchers control values of the explanatory variable with a randomization procedure. Then, if we see a relationship between the explanatory variable and response variables, we have evidence that it is a causal one. Very good. Researchers can control the explanatory variable. OK The main purpose for using randomization in an experiment is to perfectly represent the population. Also to remove any bias and potential lurking variables. The first part of your response is incorrect. That’s called random sampling. Randomization in an experiment means random assignment of treatments. This way we can eliminate any possible biases that may arise in the experiment. Good. Randomization in an experiment is important because it minimizes bias responses. Good. To include a sample representative of the population. No, that’s random sampling. .
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