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Research & Evidence Literacy · Intermediate
Detecting Artifacts, Bias, and False Patterns
Develops practical skill in recognizing noise, confounding, expectancy, measurement artifacts, and spurious patterns. Claims will be classified as established, supported but developing, preliminary, theoretical, traditional or experiential, or unsupported or contradicted.
What you will learn
Course outcomes
- 01
Separate observation, measurement, interpretation, hypothesis, and established conclusion
- 02
Classify claims using the ICR evidence-tier framework
- 03
Evaluate source quality, methodology, uncertainty, alternative explanations, and replication
- 04
Communicate contested questions without overstating mechanisms, certainty, or clinical meaning
Before enrollment
Restricted access and required disclosures
Formal assessments require at least 80%. Critical safety, consent, scope, or integrity items may also be mandatory.
A modern browser and internet access are required. Any additional materials, live requirements, access period, or fees must be disclosed in the enrollment agreement before payment.
Completion does not grant licensure, government recognition, diagnosis or treatment authority, employment, earnings, or insurance reimbursement.
Next step