AMJ Research Methods
Designs rigorous empirical and qualitative research methodologies tailored to Academy of Management Journal standards.
AMJ Research Methods is a specialized Claude Code skill for management scholars preparing manuscripts for the Academy of Management Journal (AMJ). It systematically matches study designs—including field experiments, panel archival, multilevel surveys, multi-method, and grounded qualitative approaches (such as Eisenhardt and Gioia)—to theoretical questions. The skill guides researchers to proactively address common review vulnerabilities such as common-method bias, endogeneity, level-of-analysis mismatches, and measurement invalidity before executing data analysis.
Key Features
01Establishes procedural remedies to prevent common-method bias (CMB)
02Matches empirical and qualitative designs to specific theoretical and causal claims
03Connects study design to statistical toolchains including StatsPAI and Stata MCP
04Structures identification strategies (IV, DiD, fixed effects, matching) for archival research
05Ensures level-of-analysis alignment across theory, measurement, and multilevel modeling
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Use Cases
01Resolving reviewer critiques regarding endogeneity, causality, or construct validity
02Structuring measurement and aggregation protocols for multilevel team or firm datasets
03Designing multi-study research projects combining field studies and causal experiments