Jacob Cohen

Sobre o Autor

Jacob Cohen is a prominent figure in the field of statistics, particularly known for his contributions to behavioral sciences. His work has significantly influenced methodologies in statistics, with a focus on regression and correlation analyses. Cohen's books, including "Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences" and "Introductory Statistics for the Behavioral Sciences," have become essential texts in both academic and applied settings. His insights into statistical practices have helped shape the way researchers approach data analysis in various fields.

In addition to his foundational texts, Cohen has contributed to understanding the importance of statistical power and effect sizes in research. His methodologies and frameworks are widely adopted, making him a key figure for students and professionals alike in the realms of psychology, sociology, and other behavioral sciences. Through his ongoing influence, Cohen's work continues to be a cornerstone for those learning and applying statistical methods today.