Use interactive AI/ChatGPT to draft a 15-minute innovative PowerPoint presentation on "In veteran patients with chronic pain, how does the implementation of complementary integrative interventions, compared to traditional narcotic pain management, affect patient pain levels and quality of life?"  that will include a time-series quasi-experimental design, sample size (with calculation), sampling techniques, and inclusion/exclusion criteria. Build on the presentation with the area of interest ("In veteran patients with chronic pain, how does the implementation of complementary integrative interventions, compared to traditional narcotic pain management, affect patient pain levels and quality of life?") and the following hypothesis.

Hypothesis 4 (Alternative Hypothesis):

"Patients receiving integrative therapies will report improved quality of life in addition to reduced pain levels compared to those who do not receive integrative therapies."

Modified Hypothesis:

"Patients who receive integrative therapies experience significant improvements in both pain levels and overall quality of life compared to patients who receive traditional pain medication. 

This presentation should also include the Biopsychosocial Model of Pain theory study design, sample size (based on your power calculation), and sampling techniques, considered instruments to measure your theoretical or conceptual constructs.

Slides should be as follows and include speakers note for each slide:

Slide 1 Title slide

Slide 2 AI Disclaimer slide

Slide 3 Background

Slide 4 Very brief: highlight any new literature you found since your last presentation to the class

Slide 5 Theory

Slide 6 Specific to how it is important to this study

Slide 7 How to operationalize the theory or apply the theory

Slide 8 Study purpose/research hypothesis

Slide 9 Study design with diagram

Slide 10 Sample

Slide 11 Sampling frame, inclusion/exclusion criteria

Slide 12 Sample size, include:

Statistical test - it's ok if this is not your final statistical test, pick the one you think it is at this point.

Slide 13 One-sided (one-tail) or Two-sided (two-tail) hypothesis

Slide 14 Effect size. How was the effect size determined?

Slide 15 Alpha level. Explain

Slide 16 Power (1-Beta). Explain

Slide 17 Allocation Ratio

Slide 18 Include a screenshot of your G*Power output on a single slide.

Slide 20 Lessons learned

Slide 21 What's next, what you need to find out, what you learned, etc.

Slide 23 Summary

Slide 24 Reference slides

Rubric will be sent separately