AMR Theory Logic & Argument Stress-Testing
Stress-tests logical coherence, thought experiments, counterfactuals, and rival theories in Academy of Management Review (AMR) conceptual manuscripts.
AMR Data Analysis adapts analytical rigor to pure conceptual manuscripts by stress-testing theoretical arguments rather than empirical datasets. Designed specifically for Academy of Management Review submissions where empirical statistics are absent, this skill evaluates premise-to-conclusion derivations using Toulmin argument models, executes counterfactual thought experiments, identifies disconfirming cases, and audits rival theoretical explanations. It helps researchers ensure internal consistency, eliminate circular logic, identify missing boundary conditions, and verify that every proposition is logically derived and falsifiable.