Pre-Test

At the end of the epidemiology lecture, complete the following pre-survey:

• BNURS360 Week 3 Pre-Survey

Note that your name is asked only because the pre-test data and post-test data need to be tied together:

• Your name will be removed when the data are analyzed

• Your classmates won't be able to tell who said what, so your responses are confidential!

• Please be honest and accurate as your Week 7 assignment will be created based on this exercise.

In-Class Experiment

Post-Test

After the experiment is over, complete the following post-survey:

• BNURS360 Week 3 Post-Survey

Note that your responses are confidential.

Demographics of Participants (a total of 28 participants)

Q1. What is the design of this study?

Q2. According to the pre-survey (n = 28),

• The mean age = 29.11 years

• Standard Deviation (SD) = 6.27

What is the range that would cover 95% of you and your classmates' age?

Q3. The PANAS includes two domains: (1) Positive Affect, and (2) Negative Affect:

• The PANAS Positive Affect Scores can range from 10 – 50, with higher scores representing higher levels of positive affect.

• The PANAS Negative Affect Scores can range from 10 – 50, with lower scores representing lower levels of negative affect.

The followings are the tables describing the frequency of the PANAS scores:

Q4: The followings are the histograms of the PANAS scores from the pre-test.

Q5: The paired t-test revealed the following findings:

Hint:

• Hypotheses:

  • Null Hypothesis: There is no difference between the pre-test and post-test scores.

  • Alternative Hypothesis: There is difference between the pre-test and pos-test scores.

• Cohen'd d is a type of effect size

Q6: The following table summarizes the mean and SD of PANAS Negative and Positive Affect Scores (from the pre-test) by gender in this class. Now, compare your scores to the scores in college students in a Midwestern university (see the article by Stowell et al., 2021).

• Q6a: In your sample and the Midwestern sample, which gender scored lower on PANAS Negative Affect and higher on PANAS Positive Affect?

• Q6b: Across the gender, which sample scored lower on PANAS Negative Affect and higher on PANAS Negative Affect?

• Q6c: In your opinion, why do you think the scores were different between male vs. female and UW Bothell vs. Midwestern university?

  • Hint: Compare the demographics, such as race/ethnicity and age of each sample population.

Q7: In your sample, the Cronbach's Alpha was:

• .93 in PANAS Positive Affect (Pre-Test)

• .78 in PANAS Negative Affect (Pre-Test)

Now, think about the following questions:

• Q7a: What do these number mean in your own words?

• Q7b: What are the Cronbach's Alpha values for PANAS Positive Affect and PANAS Negative Affect that Stowell et al. (2021) reported in their Midwestern university sample population?

• Q7c: Which sample has the higher level of the reliability in PANAS Positive and Negative Affect: UW Bothell or Midwestern university?

Q8: What could be the threats to the validity in this in-class mini-experiment? List at least three potential threats and state why you think so.