Highlights
Short Answer Question 1 (SNPG916)
Q1: Identify and explain the scales of measurement of two variables (Variable 1 = gender; and Variable 2 = overall health) in the following example:
Dr. Jones was interested in examining the gender differences in the overall health of health professionals. He designed a study in which both males and females were asked to complete a measure of overall health. The items in the overall health variable are measured on a scale of 1-5, where: 1= Very good, 2=Quite good, 3=Neither good nor poor, 4=Quite poor, and 5=Poor.
Dr Jones is interested in using a reliable scale to measure anxiety in patients having coronary angioplasty. To test for the internal reliability of an anxiety scale she conducts a reliability test. Based on the “Reliability Statistics” table presented above, answer the following questions:
Q1. What is the internal reliability of the measure? HINT: Internal reliability is assessed by a statistic known as Cronbach’s alpha.
Q2. How would you rate the internal reliability of this measure (poor, satisfactory, good, very good, or excellent)? HINT: Check out the Guidelines for Cronbach’s alpha
Q3. How many items are present in the measure of anxiety that Dr Jones has used?
Q4. Why would you assess the internal reliability of a measure?
Short Answer Question 3
Dr. Jones is interested in examining the relationship between anxiety levels (Variable 1: measured on an interval scale) and severity of radial artery spasm (Variable 2: measured on an interval scale) in patients having radial coronary angioplasty. Based on this information, answer the following:
Q1. State the null hypothesis?
Q2. What would be the research (or alternate) hypothesis?
Q3. Assuming that all assumptions are met, what test would be most appropriate to examine the relationship (correlation) between anxiety levels and the severity of the radial artery spasm?
Q4. Give 2 examples of non-parametric tests covered in Module 3?
Short Answer Question 4
Dr. Jones is interested in examining the relationship between anxiety levels and the severity of the radial artery spasm. She computed a bivariate correlation between these two variables. Based on the “Correlations” table presented above, answer the following questions:
Q1. What is the correlation coefficient (r-value) of the relationship between anxiety levels and the severity of the radial artery spasm?
Q2. Is the obtained correlation coefficient (r-value) significant?
Q3. Indicate if the obtained correlation coefficient (r) value is considered small, medium, or large?
Q4. Is the correlation between anxiety levels and severity of radial artery spasm positive or negative?
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