Question

Your high school guidance counselor calls and brags that she has an excellent measure that produces scores that predict college freshman grades for her senior high seniors. What evidence should she have to support this statement? A Correlation Coefficient between her test and freshman GPA that is close +1.0 A Standard Error of Measurement (SEM) that is small A Regression Line that is neither linear nor restricted A Reliability Coefficient that is close to 0.0

          Your high school guidance counselor calls and brags that she has an excellent measure that
produces scores that predict college freshman grades for her senior high seniors. What evidence
should she have to support this statement?
A Correlation Coefficient between her test and freshman GPA that is close +1.0
A Standard Error of Measurement (SEM) that is small
A Regression Line that is neither linear nor restricted
A Reliability Coefficient that is close to 0.0

Your high school guidance counselor calls and brags that she has an excellent measure that
produces scores that predict college freshman grades for her senior high seniors. What evidence
should she have to support this statement?
A Correlation Coefficient between her test and freshman GPA that is close +1.0
A Standard Error of Measurement (SEM) that is small
A Regression Line that is neither linear nor restricted
A Reliability Coefficient that is close to 0.0

Added by Celia F.

Psychology Openstax

Rosie M. Spielman 1st Edition

Instant Answer

Solved by Expert Matt Bremer

07/12/2019

Step 1

To support this statement, she should have evidence that demonstrates the accuracy and reliability of her measure. Step 2: Evaluate the options Show more…

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Text: Your high school guidance counselor calls and brags that she has an excellent measure that produces scores that predict college freshman grades for her senior high seniors. What evidence should she have to support this statement? 1. A Correlation Coefficient between her test and freshman GPA that is close to +1.0. 2. A Standard Error of Measurement (SEM) that is small. 3. A Regression Line that is neither linear nor restricted. 4. A Reliability Coefficient that is close to 1.0.