Respondents may report inaccurate information on a survey for many reasons, incl
ID: 3502733 • Letter: R
Question
Respondents may report inaccurate information on a survey for many reasons, including that they do not want to admit to themselves that their emotions are intense and negative or because they do not anyone to know the true intensity of their aversive emotions. Regardless of the motivation, scores on a survey that are artificially lower than is actually the case are problematic because _________________.
It is not problematic because this type of error is expected.
We cannot fully eradicate instances of social desirability.
There is no way to measure a client's blindside.
As a result inaccurate or unreliable conclusions may be drawn from the data.
In the reading, an example is given about a new survey that a clinician named Meredith is giving to clients. Meredith is concerned that participant might respond to items by indicating that the intensity of their emotion is lower than is actually the case. This would be an example of what type of testing bias?
Type II error
Emotional error
Social desirability error
Type I error
During measurement design a researcher might ask a content expert questions about _____________. Example questions on this topic include: "Is the selected measurement format appropriate for this survey? Can people respond to the items using the measurement format? Does the measurement format help me better understand my construct?"
Measurement format
Instructional Clarity
Addition/Removal
Readability
During measurement design a researcher might ask a content expert questions about instructional clarity. Which of the following is an example of an instructional clarity question?
How could any items be reworded for clarity?
What topic do these questions relate to?
Do the survey instructions make sense?
Do the items appear to relate to the construct(s) being measured?
During study design a researcher might ask a content expert questions like: "Do the items appear to relate to the construct(s) being measured? Do the items encompass all aspects of the construct(s)?
Measurement format
Readability
Instructional Clarity
Validity
During measurement design a researcher might ask a content expert questions about ___________? Example topic questions might include "Do the items make sense? Are any items confusing? How could any items be reworded for clarity? Will the population(s) likely to take this survey be able to understand the items?"
Measurement format
Validity
Readability
Instructional Clarity
In the reading, an example is given about a new survey that a clinician named Meredith is giving to clients. Meredith is concerned that participant might respond to items by indicating that the intensity of their emotion is lower than is actually the case. This would be an example of what type of testing bias?
Type II error
Emotional error
Social desirability error
Type I error
Explanation / Answer
1. The correct answer is Option 4. Regardless of the motivation, scores on a survey that are artificially lower than is actually the case are problematic because as a result inaccurate or unreliable conclusions may be drawn from the data.
2. The correct answer is Option 1. This would be an example of Type II error.
3. The correct answer is Option 1. During measurement design a researcher might ask a content expert questions about measurement format.
4. The correct answer is Option 3. This is the question for instructional clarity: Do the survey instructions make sense?
Please post the other questions separately as we are supposed to answer just one question or four sub parts of the same question.
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