Skill UI

This skill provides a comprehensive guide for authors determining the fit of their empirical software engineering (SE) manuscript for the International Symposium on Empirical Software Engineering and Measurement (ESEM). It helps authors rigorously check the study design, evidence bar, proper framing, and necessary re-framing required to transform a journal or arXiv-style paper into a high-quality conference submission suitable for ESEM reviewers. It focuses on measurement validity, experimental rigor, and evidence synthesis.

This guide ensures that the chosen research methodology genres (e.g., behavioral empirical, analytical modeling, design science) are correctly aligned with the core research claim or phenomenon. It helps researchers identify the necessary design rigor, appropriate identification strategies (like DiD or IV), and the level of analysis required to ensure the study can genuinely support its contribution in the IS domain.

A comprehensive methodological guide detailing how to design rigorous, publishable empirical or analytical studies for top-tier accounting and economics journals (like JAE). It focuses heavily on achieving causal identification by mastering techniques such as Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity (RDD), and event studies, ensuring the study design credibly supports the economic prediction.

This guide outlines the rigorous standards for preparing empirical tables and figures for top-tier academic journals, such as the Journal of Accounting and Economics (JAE). It covers the entire research workflow, including variable definition, sample construction, descriptive statistics, correlation matrices, advanced regressions, and event studies. The goal is to ensure all exhibits are self-contained, reproducible, and meet strict academic reviewer expectations.

This guide provides comprehensive guidelines for preparing high-quality, publication-ready tables and figures specifically tailored for Journal of Banking & Finance (JBF) submissions. It covers everything from structuring descriptive statistics and regression results to designing event-study plots and ensuring proper notes and execution workflows.

A comprehensive guide detailing the conventions for constructing high-quality empirical tables and figures, especially for corporate finance and econometrics journals. Covers best practices for reporting summary statistics, fixed effects, clustering, event-study/CAR plots, and ensuring self-contained notes for academic publication.

Provides comprehensive guidelines for crafting professional, academically rigorous tables and figures for top-tier economics journals (like JEEA). This guide covers best practices for presenting empirical results, instructing users on how to structure clean tables (three-line format), replace significance stars with standard errors/confidence intervals, and design effective event-study or model-fit visualizations to ensure the core claim is instantly readable.

This guide helps researchers rigorously evaluate whether their operations management or supply chain research topic is suitable for the Journal of Operations Management (JOM). It employs a four-screen test to ensure the topic meets academic criteria: operations must be the core phenomenon, the study must be empirically grounded, it must advance theory, and it must maintain practical relevance for managers.

This guide details best practices for generating self-contained, high-impact exhibits (tables and figures) for academic journals, particularly those with strict page limits like Management Science. It instructs users on structuring both theoretical proofs (analytical lane) and empirical results (e.g., regression coefficients, event-study plots) to ensure the findings are immediately readable and persuasive, even without reading the main text.

This guide helps authors transform complex academic empirical findings into robust, actionable policy implications. It teaches how to structure recommendations across distinct time horizons (short, medium, and long) and institutional levels (micro, meso, and macro). The core principle is ensuring every suggested policy point is directly tied to the study's evidence, targets a specific government department, and aligns with national strategic goals, elevating the paper's impact.

A comprehensive preflight checklist for authors submitting to academic journals, specifically modeled after the requirements for Progress in Human Geography (PiHG) via SAGE Track. It guides users through critical steps, including maintaining double-anonymity, confirming the genre (review article vs. empirical study), adhering to strict word counts (~8,000 words), and following specific style guides (SAGE Harvard). Use this tool immediately before the final upload to ensure submission compliance.

This guide helps researchers determine if their academic idea is suitable for publication in Perspectives on Psychological Science (PoPS). It evaluates contributions against four critical criteria—Breadth, Integration, Provocation, and Tractability—ensuring the topic is a superordinate, theoretical, or meta-scientific argument, rather than a single empirical study. It helps refine the animating question and select the correct journal venue.