The answer of the question is option b which is 'has feautres of a randomized groups and repeated measures design'.
There are often at least two control groups and one experimental group in a between-subjects design, or several groups that differ on a particular variable (e.g., gender, ethnicity, test score etc.)
Every experimental group receives a treatment involving an independent variable that the researcher anticipates will have some bearing on the results, whereas the control groups receive nothing, a conventional therapy unrelated to the trial, or a make-believe therapy.
To determine whether the manipulation of the independent variable is successful, you compare the dependent variable measurements between groups. You can infer that your independent variable manipulation most likely contributed to the differences if the groups' differences are sizable.
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