Description:
The first module in the Roadmap to Data Analysis series, this short video covers the basics of statistical thinking and inference, describes the concepts of “population” and “sample” in quantitative research, explains the process by which inferences can be made to a population based on a sample, and clarifies what “hypothesis testing” and “probability value” mean in a data analysis context.
- Provide an introduction to basic statistical procedures relevant to SOT agencies
- Provide a foundation to analyze and interpret data on clients, services, and outcomes
- Provide an introduction to the use of available tools for basic analysis of data
- Provide an understanding of the limitations of statistical analysis, and guidelines for agency staff about when to seek statistical consultation
Presenter:
Ed Cohen, Ph.D., Associate Professor, School of Social Work at San Jose State University
Dr. Cohen is a frequent consultant with the National Capacity Building Project of the Center for Victims of Torture on the subject of evaluation. Dr. Cohen received his M.S.W. and Ph.D. in Social Welfare at the University of California at Berkeley. He has taught research methods (UC Berkeley) courses in managed care (UC Davis) and has provided training to mental health agencies in improving agency performance through the use of data and evaluation. Practice experience includes over 17 years in senior positions as a clinician, administrator, policy planner, and consultant in both private and public mental health and social service agencies. Dr. Cohen was Director of the Center for Social Services Research at the University of California at Berkeley prior to joining the faculty at SJSU. He is past editorial board member of the journal Research on Social Work Practice and now serves on the editorial board for the International Journal of Clinical Psychiatry and Mental Health.
Attachments:
Intro to Series and I_Introduction to Statistical Thinking.pdf