Week 7 Assignment

For this assignment you will use the Week_07_Assignment_Data.csv file, which can be found on the Week 7 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking the first exam in the course, students completed two measures of text anxiety: Old_Test_Anxiety and New_Test_Anxiety. 

Old_Test_Anxiety is an existing measure of test anxiety. It’s scores are known to be highly reliable and valid. A group of researchers are concerned that some of the questions on the old survey may be getting outdated, so they’ve developed a new survey to measure test anxiety: New_Test_Anxiety. The researchers have asked a sample of students in one introductory statistics course to take both the old and new surveys.

The dataset includes the following variables:

·       Student_ID: A unique nominal-level identification number assigned to each student

·       Primary_Degree: Whether the student’s primary degree is a Bachelor of Arts (BA), Bachelor of Science in Nursing (BSN), or Bachelor of Science (BS)

·       GPA: The student’s grade point average at the beginning of the term

·       Old_Test_Anxiety: The learner’s score on an existing measure of test anxiety, completed right before taking the first test in the course

·       New_Test_Anxiety: The learner’s score on a newly developed measure of test anxiety, completed right before taking the first test in the course

 

Criteria:

·       Use JASP to construct a scatterplot and histograms

·       Interpret the relationship between two variables from a scatterplot

·       Use JASP to compute a correlation coefficient

·       Interpret the statistical significance of a hypothesis test

·       Discuss how your correlation can be used to support a specific type of reliability or validity

In JASP, construct a scatterplot and histograms for the Old_Test_Anxiety and New_Test_Anxiety variables.

[Include screenshots of your scatterplot and histograms here]

Explain why it is appropriate to use Pearson’s r as a measure of the correlation between the Old_Test_Anxiety and New_Test_Anxiety variables. Refer to the plots you made in the previous question.

In JASP, compute Pearson’s r. In addition to r and the p value, add the sample size and 95% confidence interval to your output.

[Include a screenshot of your JASP output here]

Is there evidence of a relationship between Old_Test_Anxiety and New_Test_Anxiety in the population? Explain how you determined this.

Explain how the correlation you computed could be used to support a specific type of reliability or validity. Be sure to clearly state which type of reliability or validity is supported. And, explain how it is supported by your correlation.