Rochelle E. Tractenberg
How the Mastery Rubric for Statistical Literacy Can Generate Actionable Evidence about Statistical and Quantitative Learning Outcomes
Outcomes Research Consortium|Georgetown University Medical Center|Georgetown University
statistical literacy essential informed citizenry two emerging trends highlight growing need training achieves literacy first trend towards big data automated analyses exploit massive amounts data interpretationand possibly importantly replicationof results challenging without adequate statistical literacy second trend science scientific publishing struggling insufficientinappropriate statistical reasoning writing reviewing editing paper describes model statistical literacy sl development support modern scientific practice established curriculum development evaluation toolthe mastery rubricis integrated new developmental model statistical literacy reflects complexity reasoning habits mind scientists need cultivate order recognize choose interpret statistical methods developmental model provides actionable evidence explicit opportunities consequential assessment serves students instructors developersreviewersaccreditors curriculum institutions supporting enrichment rather increasing amount statistical training basic life sciences approach supports curriculum development evaluation delivery promote statistical literacy students collective quantitative proficiency broadly