For this assessment, you will develop an 8–14 slide PowerPoint presentation with thorough speaker's notes designed for a hypothetical in-service session related to the improvement plan you developed in Assessment 2.

For this weeks assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity

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For this weeks assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

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.

 

 

 

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Overview

For this weeks assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

 

Preparation

Before you begin this assignment, complete the following:

Instructions

Complete and submit the Week 7 Assignment worksheet.

Competencies Measured

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

  • Competency 1: Communicate research findings using data visualizations.
    • Check the assumptions of Pearson’s r using graphs.
  • Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.
    • Interpret the statistical significance of a hypothesis test.
  • Competency 3: Conduct statistical analyses to address research questions in the social sciences.
    • Use JASP to construct a scatterplot and histograms.
    • Use JASP to compute a correlation coefficient.
  • Competency 6: Explain why measurement of research variables must be reliable and valid.
    • Discuss how your correlation can be used to support a specific type of reliability or validity.
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

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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.    
 

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