Lies, Damn Lies, and Statistics: How to Read the Numbers
David J. Corliss, PhD | September 18 | 1:45-2:45 pm EDT
Topic: Conceptual, Research | Knowledge Level: Beginner
This presentation serves as an introduction to statistics for researchers and program leaders as an aid in understanding statistical content and making effective use of statistics in their work. Statistics and statistical content are powerful tools for gaining insight into research questions and managing programs. However, making effective use of statistics and discerning the reliability of statistical content can be daunting. This presentation provides an overview of different kinds of statistical content found in supporting research and analytics used in assessing program impact. Examples include survey design and use, common performance metrics, graphs and visualizations, statistical models and predictive analytics, and understanding statistical tests in layperson’s terms. A particular emphasis is given to assessing the reliability of statistical content, including statistical power, assessing bias, conflicts of interest, and the limitations of statistical findings. Questions and answers will focus on specific questions about statistics and their use from members of the audience. The session will empower and guide attendees to make greater, more effective use of statistics in their research and management of their programs.
Presentation Objectives:
• Discuss common statistical methods and how they can be used to strengthen research findings and the management of anti-trafficking and survivor programs
• Present the limitations of statistical methods, how to assess research, and identify misinformation
• Describe how to identify when to consult a statistical expert, how to evaluate their credentials, best practices, and making the best use of their of their findings