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Psychology
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Topic:

Correlation Coefficient

Essay Instructions:
Overview For this week’s 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: Download the Week 7 Assignment Worksheet [DOCX]. Download the Week_7_Assignment_Data.csv file. 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.
Essay Sample Content Preview:
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 A group of researchers are concerned that some of the questions on the old survey may be getting outdated, so they’ve developed a new survey to measure test anxiety: New_Test_Anxiety.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. Explain w...
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