Hello. This question is incomplete. The full question is:
"In the field of addictions, there are a number of scientifically based treatment approaches available. All but ONE of the following is such an approach. Which one is NOT a noted scientifically based treatment approach as discussed in your textbook?
a. Cognitive-behavioral therapy b. Community reinforcement approaches c. The twelve-step approach d. Abstinence based treatment approaches"
Answer:
d. Abstinence based treatment approaches
Explanation:
There is no standard protocol for the treatment of addictions. Regardless of whether you are addicted to drugs, alcohol or cigarettes, it is a consensus that although there are different alternatives and methods, the entire protocol must be established individually. In addition, it is multidisciplinary, that is, it is necessary to have a team that takes care of chemical dependency, of the mind, that guides and supports the family and that gives all the necessary support. That is why these actions are a challenge for the health team and, as always, prevention is the best way out.
As already mentioned above, there is no standard protocol for the treatment of addictions, however there are treatments that have scientifically proven efficacy such as cognitive behavioral therapy, community reinforcement approaches and a twelve-step approach. On the other hand, treatment approaches based on abstinence, have no scientific proof, besides being discouraged by several professionals.
Answer:
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Differences between two samples are more likely to be statistically significant if the samples are large and the standard deviations of the samples are small .
<h3>What does it mean to be statistically significant?</h3>
This is when it is unlikely to get the results that we got in the experiment or the study by the null hypothesis. That is it tells us that the relationship that exists between the variables that were used in the study occurred by something that was not by chance.
Hence we can say that: Differences between two samples are more likely to be statistically significant if the samples are large and the standard deviations of the samples are small
Read more on statistical significance here: brainly.com/question/15873779
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Answer:
Explanation:
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