Description:
The sixth module in the Roadmap to Data Analysis series, this short video describes the type of data that are relevant for a correlation analysis, explains the basics of how correlation works, demonstrates how to use a correlation calculator or Excel to conduct a correlation analysis with sample data, and provides guidance on interpreting and reporting results.
This calculator was used to obtain both the r and p values in this video: https://www.socscistatistics.com/pvalues/pearsondistribution.aspx
If you are familiar with Excel, you can also use the step-by-step instructions available here to obtain the Pearson’s r value.
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:
VI_Two Continuous Variables – Correlation.pdf