Data Analysis (jms-data-analysis)

When to trigger

• Estimates are in but reviewers question endogeneity, robustness, or the indirect-effect claim
• A qualitative analysis reaches findings but the path from data to constructs is not auditable
• Effects hinge on a single specification with no robustness
• A mediation/moderation result is reported without the analysis JMS expects
• A reviewer says "the analysis does not support the claim" or "I can't see how you got here"

The JMS analysis bar — two idioms, one standard

JMS judges analysis by whether it credibly supports the theoretical claim, in whichever idiom the study uses. Quantitative work is held to identification and robustness standards; qualitative work is held to trustworthiness and transparency standards. Use the path that matches your design; do not import quant criteria (p-values, effect sizes) to judge a qualitative paper, or qualitative looseness into a quantitative one.

Quantitative path