Skill UI

This guide outlines the rigorous methodology for developing theoretical arguments, specifically for top-tier academic journals. It focuses on the 'craft of theory construction'—defining necessary constructs, deriving relationships, specifying underlying mechanisms, and setting boundary conditions. It is a conceptual framework tool, not an empirical data analysis method, helping researchers elevate the rigor of their theoretical contributions.

This comprehensive checklist guides authors submitting theory-only manuscripts to the Academy of Management Review (AMR). It ensures compliance with AOM formatting, rigorous anonymity standards, correct scope definition (must build new theory, no data), and ethical guidelines, minimizing desk rejection risk. It is designed for conceptual, non-empirical work.

A comprehensive guide for constructing conceptual exhibits—such as process models, 2x2 typologies, and multi-level frameworks—for academic manuscripts. This resource emphasizes that figures must represent pure theoretical work (constructs and relationships) rather than empirical data plots, ensuring structural clarity for top-tier academic publishing.

This comprehensive workflow guides authors through the complex, multi-stage process of developing a purely theoretical contribution for an Academy of Management Review (AMR) submission. It acts as a router, directing the user to specific specialized skills at each point of the scholarly writing process, from topic selection to contribution framing and final polish. It emphasizes that the deliverable is pure theory, not empirical data.

This comprehensive guide helps authors evaluate the suitability of their manuscript for the Annual Review of Economics. It outlines the journal's specific high standards for scholarly synthesis, emphasizing that the content must provide a balanced, expert intellectual map of an entire subfield, rather than presenting new original empirical results. Use this skill to check fit, understand the invited submission process, and structure a comprehensive review for a broad, educated professional audience.

This guide helps researchers determine if their empirical economic manuscript is suitable for submission to AEJ: Economic Policy. It focuses on transforming a clean empirical finding into a policy-driven narrative by identifying a concrete policy lever, stating a clear policy question, and quantifying the welfare or cost-benefit implications.

This guide provides a methodological framework for drastically streamlining complex academic models, whether theoretical or structural/empirical. It teaches how to Strip assumptions, retain only the necessary components, and present the argument such that the entire paper focuses on delivering one distinct, surprising insight. Generalizations and lengthy proofs belong in the appendix, keeping the main text maximally focused and concise.

This guide helps researchers determine if an interesting phenomenon or trend constitutes a genuine theoretical puzzle suitable for the Academy of Management Review (AMR). It guides users to distinguish between a simple topic, an empirical test, and a deep theoretical contradiction that requires building new knowledge-based claims.

This guide outlines the rigorous execution and reporting standards required for quantitative research intended for top-tier academic journals, such as APSR. It covers best practices for ensuring reproducibility, assessing robustness, reporting uncertainty honestly (using credible intervals), and correctly applying advanced statistical inference (e.g., clustering, randomization inference). It is essential for researchers conducting empirical work in political science, economics, or social sciences.

This skill guides the process of elevating specific empirical findings into general, portable theoretical contributions suitable for high-level academic journals. It focuses on structuring the core argument by explicitly defining mechanisms, scope conditions, observable implications, and conceptual stakes, transforming mere results into discipline-level theory.

This framework provides a systematic methodology for imposing a strong analytical structure or taxonomy on academic literature, particularly for Annual Reviews (ARE). It guides the writer to move beyond merely compiling annotated bibliographies and instead building a cohesive argument about an entire field. Users select a primary 'spine' (e.g., taxonomy, unifying model, question sequence) to organize research, ensuring the review is both comprehensive and highly accessible to non-specialists.

A detailed guide for authors writing the Related Work section of an Automated Software Engineering (ASE) paper. It teaches the crucial 'delta argument' methodology, emphasizing that positioning must be against prior automated tools, covering multiple SE literature lanes, and conducting fair, head-to-head empirical comparisons to clearly delineate the novelty of the proposed work.