The risks of harm in behavioral or social research are psychological, economic, social and legal in nature. In rare cases there may be a risk of physical harm – a study of victims of physical abuse may be subject to retaliatory violence.
Answer:
banks could not sell foreclosed farms or make money on loans
Answer:
They are written in this manner in order to to reduce the influence of acquiescent bias (responding).
Explanation:
Acquiescence bias (responding) is a category of response bias in which respondents to a survey have a tendency to agree with all the questions or to indicate a positive connotation. Acquiescence is sometimes referred to as "yea-saying" and is the tendency of a respondent to agree with a statement when in doubt.
By formating the Likert scale so that in one half agreeing with means that the person has the variables measured and the other half means that the variable is not measured avoides acquiescent bias (responding).
Republican Party because the symbol for the republicans is a red elephant strangely enough.
Answer: A student, Amara, plans to use the survey data to create a visualization and short summary of students' plans for college. First she wants to learn more about how the data was collected. Of the following things she might learn about the survey, which are the most likely sources of bias in the results based how it was collected:
- She learns that the survey administrators only asked a representative sample of students, rather than even student in each state .
- She learns that responses were collected only by mobile app
.
- She learns the survey was available to complete in both digital and paper form
.
- She learns that the survey was only given to students with scores in the top 10% on the PSAT
.
Explanation:
Conditions for choosing the participants in surveys can affect responses. Collecting survey responses by using an app introduces inclusive bias into the survey. This is when a group is selected for convenience and is not at all a random selection. Using an app has limited the participants to people who use the app.
Asking only the students who scored highly in tests also skews the neutrality of the survey. This introduces an omission bias by excluding a majority of students.
