Experimental Design and Analysis I (Part I—Foundations) (2026 DSS)

About

Interest in experimental designs in research and practice is driven by an emphasis on strong causal evidence in publishing research at top journals. This course is aimed at Ph.D. students and faculty who are motivated by this interest to conduct experimental and quasi- or field-experimental research in business (e.g., accounting, information systems, marketing, organizational behaviour) and related disciplines (e.g., economics, psychology). This first course focuses on foundational concepts and tools for scholarly research. It is appropriate for scholars who have completed a basic (first-level) graduate course in statistics, but lack expertise in experimental design. We will examine experimental designs and analyses from the perspective of an applied researcher, not from that of a statistician. Although there will be sufficient coverage of statistical concepts (to ensure that the procedures and techniques are applied intelligently), we will not focus on statistical theory per se. We will be using SPSS for course work with an option to use Stata/R/Python if the student is interested

Course leader

Jagdip SINGH, Case Western Reserve University, United States

Target group

The Doctoral Summer School online courses are aimed at doctoral students, post-docs, academics and professionals from different fields and from all over the world

Fee info