Answer:
between-subjects design
Explanation:
According to my research on different experimental designs, I can say that based on the information provided within the question the best way to make sure that the internal validity will not be influenced by an outside event is to switch to a between-subjects design. This type of design is an experiment design that has two or more groups of subjects each being tested by a different testing factor simultaneously. Since they are done simultaneously it significantly reduces outside influence.
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True because higher the prevalence of the behavior before the program, the more difficult it becomes to increase the prevalence of the behavior.
Prevalence is the proportion of a particular population found to be affected by a medical condition at a specific time. Prevalence, sometimes referred to as prevalence rate, is the proportion of persons in a population who have a particular disease or attribute at a specified point in time or over a specified period of time.
The prevalence is often useful as it reflects the burden of a disease in a certain population. This is not limited to burden in terms of monetary costs, it also reflects burden in terms of life expectancy, morbidity, quality of life, or other indicators.
To learn more about Prevalence , here
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Answer:
This is the answer of your question.
Answer: this is all i could find srry if it dont help enough nd i wish you all the best nd i hope you find yourself housing
Explanation: The Neighborhood Stabilization Program helps income qualifying homebuyers purchase homes in specific areas of Lee County. The Repair and Rehabilitation Programs help income-qualifying homeowners with home repairs if they live in unincorporated Lee County (the areas that are not within any city limits).
Answer:
Sadly we cannot help with the sources because Brainly doesn't allow links ( I have tried once before)
Explanation:
1. People are super isolated and the internet opens many doors for bullying.
2. Depression
3. Social distancing and listening to the scientists (they literally went to school for this they're not making up the statistics)
