Experimental Design & Analysis

This summer school focuses on the conceptual and operational aspects of experimental design. Specifically, the school covers the designs and analyses that are most often used by experimental researchers. Topics include the characteristics of different experimental designs, the manipulation of independent variables, the conditions to maximize internal validity, and the statistical techniques used to analyze experimental data.

Program outline:
Introduction to experimental design: correlation, causation, experimental vs. descriptive research
Lab experiments, field experiments, quasi-experiments
Manipulation of independent variables: manipulation checks, confounds, demand effects
Moderation and mediation effects
Statistical analysis for experimental data: t-test, ANOVA, ANCOVA, spotlight analysis, mediation analysis
Applications with SPSS

Course leader

Irene Scopelliti, Senior Lecturer, Cass Business School, City University London

Target group

Ph.D. Students in Marketing, Social Psychology, Sociology, Behavioral Economics; Applied Marketing Researchers.

Course aim

At the end of the school participants will be able to test causal hypotheses by designing valid experimental studies and applying the appropriate statistical analyses (e.g., t-test, ANOVA) using SPSS.