An often overlooked step in the process of analyzing results, data cleaning is vital to ensure the accuracy of your evaluation. After all, you put a lot of time and effort into developing your instrument, training your data collectors, and gathering a representative sample. You don't want all that hard work ruined by dirty data!
Facts are everywhere around us. From the news to what we learn in school, facts are ubiquitous. We are often inundated with facts, data, and information. But how do we know what fact is supported by good or bad evidence?
This is your opportunity to answer important questions that can help tell the story and build momentum for future tobacco prevention efforts in your community.
