In this episode, we walk you through how to interpret clinical research — using an unforgettable jelly bean case study where we tracked tummy aches, pain scores, and stats that matter for real-life mental health decisions.

Perfect for PMHNP board prep, this episode gives you a solid foundation in:

• 🔬 Descriptive vs. inferential statistics — what we see vs. what we can say about the world
• 🎲 P-values — what they actually mean in psychiatric research (not just <0.05!)
• 🎯 Effect size — how big or clinically meaningful the results are
• 💊 Odds ratios (OR) and relative risk (RR) — vital for evaluating psychiatric medication studies
• 📏 Confidence intervals (CI) — how sure we are that the effect is real, especially in antidepressant trials or therapy outcomes
• 💢 Standard deviation and variance — understanding symptom spread in anxiety, depression, or pain scores

Whether you're interpreting a study on SSRIs in adolescent depression, evaluating the efficacy of CBT for panic disorder, or just trying to understand whether the latest journal article is worth trusting — this episode simplifies the numbers so you can focus on clinical decision-making in mental health.

You’ll also learn how to:

• Spot a statistical red flag in published studies
• Use effect size to guide ethical psychiatric prescribing
• Read research abstracts with confidence
• Apply concepts like risk vs. benefit when discussing psych meds with patients

• Psychiatric nurse practitioner students
• Mental health clinicians preparing for boards
• Psych NPs brushing up on research literacy
• Therapists and counselors in evidence-based practice settings
• Anyone trying to make sense of stats in psychiatry and psychology

11

T-Tests and Tummy Aches: How to Read a Research Study Like a Pro

Pearls and Prep

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