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Trainings

Trainings

Getting to Know your Data: Principles for Evaluating and Cleaning Data before Performing Statistical Analyses

URL 1: https://sas.elluminate.com/site/external/launch/nativeplayback.jnlp?psid=2013-11-14.1031.M.F1C10BBF14A6515B96BD495E087A3B.vcr

Date Developed: 11/14/2013. Source: Clinical Directors Network (CDN), Center of Excellence for Primary Care Practice-Based Research and Learning and the Community Health Applied Research Network (CHARN), Central Data Management and Coordinating Center (CDMCC). Presenter(s): Mary Ann McBurnie, PhD. Type: Webinar Archive. Level: Introductory. Length: 60 minutes.

Annotation

This webinar presentation gives an introductory review on how to prepare data for statistical analyses. Dr. McBurnie explains characteristics to look for within datasets including impossible and improbable values, outliers, illogical patterns and text or alpha variables. Also discussed are strategies for exploring/cleaning pubic health data and an in-depth review of raw data charts, histograms and other statistical output. This presentation was funded by the Agency for Healthcare Research and Quality (AHRQ) grant number 1 P30-HS-21667. this webinar gives an introductory review of how to .action

Learning Objectives

•Learn strategies for cleaning, analyzing and interpreting raw data.

•Learn strategies for correctly coding data and how to encounter questionable values.

•Review raw data charts and interpret results.

Special Instructions

Registration required.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $225,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.