Individual skill
asq-methods
Use when choosing and justifying the research design for an Administrative Science Quarterly (ASQ) manuscript — qualitative (grounded-theory, ethnographic, historical) or quantitative — and setting the rigor bar. Designs the study; it does not run the analysis (see asq-data-analysis).
Administrative-Science-Quarterly-Skills/skills/asq-methods/SKILL.md
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# Methods & Research Design (asq-methods)
## When to trigger
- You are deciding between a qualitative/inductive and a quantitative design
- Your design is chosen but its *rigor* and *transparency* are not yet defensible
- A qualitative study lacks theoretical sampling or trustworthiness safeguards
- A quantitative study lacks identification, or its design does not match the theory
## Principle: method follows the theoretical question
At ASQ, neither method is privileged. The journal publishes superb qualitative *and* quantitative work, and the current Editor, **Beth Bechky** (UC Davis; term began July 1, 2025), is herself an ethnographer of work and occupations — a signal that rich fieldwork is genuinely first-class here, not a tolerated minority. The ASQ guidelines say it plainly: "We do not attach greater significance to one methodological style than another, but we value data" — and it is "open to work based on qualitative or quantitative data collected from archives, the lab, or the field, as well as simulations and formal models." The guidelines also stress supporting a *diversity of methods* and ensuring the *trustworthiness* of published work (verify at journals.sagepub.com/author-instructions/asq). What is non-negotiable is that the design fits the question (see `asq-theory-development`) and is executed with rigor. A sophisticated estimator cannot rescue a thin theory, and a single immersive case can carry an ASQ paper if the insight is deep and the craft is high — a different bar from venues where a clean causal-identification design is itself treated as the contribution.
## Branch A — Qualitative / inductive design