Skill UI

A comprehensive guide detailing the rigorous standards for presenting statistical exhibits in high-level econometric theory journals. It covers best practices for Monte Carlo simulations, constructing diagnostic plots (size, power, coverage, bias), ensuring legibility at print reduction, and adhering to specific file formats (TIFF/EPS/PDF).

A comprehensive guide on designing self-contained, high-impact tables and figures (Exhibits) for quantitative sociological manuscripts, specifically adhering to European Sociological Review (ESR) standards. It covers best practices for presenting cross-national, longitudinal, and comparative data, emphasizing magnitude, uncertainty (e.g., forest/caterpillar plots), and strict reproducibility to ensure results stand alone for double-blind review.

This guide provides rigorous guidelines for designing and presenting results in Experimental Economics manuscripts. It emphasizes making the treatment comparison and its uncertainty immediately visible through specific figure types (distributions, dynamics plots) and structured tables, ensuring the findings are self-contained and highly credible for academic review.

Provides rigorous guidance and structure for statistical analysis in Field Crops Research (FCR). Focuses on implementing linear mixed models that respect complex experimental designs (e.g., split-plot, block, environment). Essential for proper G×E analysis, robust means separation, and accurate evaluation of crop models, ensuring results are methodologically sound and actionable.

Provides essential guidelines for designing rigorous, generalizable field experiments in crop research. Covers multi-environment trials (MET), proper randomization, blocking strategies, split-plot designs, and Genotype-by-Environment (G×E) analysis. Use this tool when planning or defending the scientific rigor of an agricultural manuscript.

A detailed guide for creating scientifically rigorous, self-contained figures and tables (exhibits) for agricultural manuscripts. It covers best practices for reporting quantitative data, including mandatory elements like error terms (SED/LSD), proper plot selection (e.g., AMMI/GGE biplots, response curves), and ensuring accessibility and reproducibility for agronomy reviewers.

This guide provides strict guidelines for structuring and presenting empirical results (tables and figures) in financial management manuscripts. It emphasizes making the main coefficient and its practical economic magnitude legible at a glance, adhering to high-standard journal norms (e.g., Wiley/FMA style). It covers best practices for event-study plots, IV tables, and ensuring standard errors and economic significance are always visible.

This skill provides advanced standards for structuring and presenting complex game-theoretic exhibits, such as payoff matrices, extensive-form game trees, comparison tables, and experimental plots. It ensures that all structural elements and formal results are instantly legible and verifiable by specialist referees, elevating the manuscript quality for top-tier academic publication.

This guide provides comprehensive principles for designing high-impact, self-contained tables and figures for academic manuscripts. It focuses on cross-national comparisons, event studies, and coefficient plots, ensuring the visual argument is clear, reproducible, and readable in grayscale, adhering to rigorous academic standards.

A comprehensive guide for developing high-rigor, reader-ready tables and figures for Human Resource Management (HRM) manuscripts. This skill covers the strict conventions required for presenting descriptive statistics, correlation matrices, nested model build-up (HLM/SEM), interaction plots, and theoretical model mapping. It ensures that the visual exhibits not only present numbers but also clearly carry the research argument, adhering to top-tier academic standards.

This guide helps structure, audit, and refine the exhibits (tables and figures) for academic manuscripts, particularly in Human Relations. It ensures that the inference path from raw data to theoretical claims is visible. It covers best practices for both qualitative exhibits (data-structure models, evidence tables) and quantitative exhibits (regression models, interaction plots), while adhering to submission constraints like anonymization and word limits.

A guide for designing and structuring empirical tables and figures for submissions to International Organizations (IOs). Focuses on meeting strict word limits, ensuring exhibits are self-contained, reproducible, and clearly separating core arguments (main text) from supporting details (supplementary material). Best practices include explicit unit labeling, prioritizing effect plots over dense tables, and guaranteeing that all displayed numbers match the original analysis code.