Understanding study design and research variables is crucial for mastering the MCAT and in medical research.

In this episode, host Sam Smith discusses the essentials of study design and research methods, from understanding independent and dependent variables to navigating the complexities of correlation, causation, and confounding variables. You’ll learn about the different types of studies, including experimental, observational, case-control, and cohort designs, and how they apply to MCAT questions. Plus, we’ll explore odds ratios, study validity, and the importance of specificity and sensitivity in diagnostic tests. This episode also covers common study limitations and biases, helping you sharpen your critical thinking skills for exam day.

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Jump into the conversation:
(00:00) Intro

(01:22) Types of variables seen in studies

(03:10) Correlation and Pearson correlation coefficient

(05:38) Causation vs. correlation

(07:16) Confounding variables: Examples and impact

(08:55) Odds ratio and study applications

(11:00) Validities in experiments

(16:20) Specificity vs. sensitivity in diagnostic tests

(19:13) Types of studies: Experimental and observational

(31:32) Single blind vs. double blind studies

(32:58) Randomized controlled trials (RCTs)

(35:57) Research limitations and study bias

(45:39) MCAT Advice of the Day