Assignment: Optional Treatment

Assignment: Optional Treatment

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• Discuss how effective you think Viagra will be for improving James’ sex life, and why?
• Suppose Yelena’s discovery that James is using Viagra secretly is the “last straw” for her after years of not addressing her unsatisfying sexual life with him, and she demands that they seek marriage counseling and focus on their sex life.In this case:
  • What part of this dilemma should a counselor point out is Yelena’s responsibility to acknowledge and address? Additionally, what special issues regarding her perimenopause will need to be addressed?
  • What part of this dilemma should a counselor point out is James’ responsibility to acknowledge and address?
• Discuss specific treatment options for this couple that are supported by the research you learned about in your readings.

Random assignment or random placement is an experimental technique for assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator. This ensures that each participant or subject has an equal chance of being placed in any group. Random assignment of participants helps to ensure that any differences between and within the groups are not systematic at the outset of the experiment. Thus, any differences between groups recorded at the end of the experiment can be more confidently attributed to the experimental procedures or treatment.

Random assignment, blinding, and controlling are key aspects of the design of experiments, because they help ensure that the results are not spurious or deceptive via confounding. This is why randomized controlled trials are vital in clinical research, especially ones that can be double-blinded and placebo-controlled.

Mathematically, there are distinctions between randomization, pseudorandomization, and quasirandomization, as well as between random number generators and pseudorandom number generators. How much these differences matter in experiments (such as clinical trials) is a matter of trial design and statistical rigor, which affect evidence grading. Studies done with pseudo- or quasirandomization are usually given nearly the sa

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