A researcher investigating 'Pygmalion in the classroom' measured teachers' perceptions of male and female students' mathematical abilities. She wanted to test whether teachers perceived males as being better at maths by comparing teachers' mean ratings of 97 male and female students. Based on the output, what action should the researcher take before testing whether the mean teacher perceptions are different for male and female students?

A)Use bootstrapping.
B)Automatically delete extreme scores.
C)Take no action.
D)Log-transform the data.

Question

A researcher investigating 'Pygmalion in the classroom' measured teachers' perceptions of male and female students' mathematical abilities. She wanted to test whether teachers perceived males as being better at maths by comparing teachers' mean ratings of 97 male and female students. Based on the output, what action should the researcher take before testing whether the mean teacher perceptions are different for male and female students?

A)Use bootstrapping. 
B)Automatically delete extreme scores. 
C)Take no action. 
D)Log-transform the data.

Quizplus · Accepted Answer

Before testing whether the mean teacher perceptions are different for male and female students, there is no need to take any action such as bootstrapping or log-transforming the data. Additionally, automatically deleting extreme scores could potentially affect the validity of the results. Therefore, the best choice is to take no action and proceed with the analysis.

A Researcher Investigating 'Pygmalion in the Classroom' Measured Teachers' Perceptions