Skill UI

A guide for integrating behavioral theory into rigorous empirical studies. It outlines the necessary steps to move beyond descriptive findings of irrationality by constructing a statistically identifiable behavioral model (e.g., incorporating loss aversion parameters) and testing it against rational baselines using controlled, incentive-compatible experimental designs. Essential for submitting papers requiring model explanation of behavioral biases.

A guide for designing rigorous numerical experiments and simulations for academic manuscripts in management science. This methodology focuses on validating proven theoretical properties, assessing algorithm performance, exploring parameter sensitivity, and extracting actionable managerial insights. It emphasizes that simulations must complement, but never replace, formal mathematical proofs.

This comprehensive guide assists researchers in strengthening the methodological rigor of communication studies manuscripts. It details best practices for experimental design, surveys, content analysis, and computational pipelines, helping authors preemptively address common reviewer critiques regarding causality, sample validity, and internal/external validity.

This guide helps researchers select and defend the appropriate empirical methodology for Operations Management (OM) studies. It covers diverse design types—including surveys, archival data analysis, behavioral experiments, field studies, and intervention-based research—ensuring the design is observation-grounded, matches the operational claim, and anticipates rigorous methodological checks.

This guide provides authors with best practices for improving the reproducibility and verifiable availability of communication experiments for submission to JOC. It clarifies the journal's current status regarding artifact badges, offering actionable advice on openly sharing code, data, and simulation parameters to enhance credibility while maintaining academic rigor.

This guide provides comprehensive standards for conducting and presenting experimental evidence in high-level communication journals (JOC). It emphasizes moving beyond simple results to ensure statistical rigor, reproducibility, and comprehensive coverage of physical layer, network, and security aspects, helping submissions withstand expert peer review.

A comprehensive guide for defending the methodological rigor of academic manuscripts, particularly for top-tier journals. It covers advanced causal identification techniques (DID, IV, RDD) for quantitative work, robust experimental design, and detailed strategies for process tracing and case selection in qualitative research. The core focus is ensuring the design is highly reproducible and clearly addresses potential confounding variables and rival explanations.

A comprehensive guide for designing and presenting rigorous experiments for submissions to the Journal of Software (JOS). It guides users through setting clear Research Questions (RQ), selecting real-world datasets and baselines, applying advanced statistical testing (effect size, significance), conducting ablation studies, and addressing threats to validity (internal, external, conceptual). This ensures the evidence strongly supports the claims, meeting top-tier academic standards.

This guide provides comprehensive best practices for authors submitting software-related papers to academic journals. It details how to ensure experimental results are fully reproducible and verifiable by peers, covering data/code availability, environment dependency fixing, random seed control, and proper artifact organization for submissions.

This guide helps researchers structure academic manuscripts submitted to the Journal of Software (JOS). It outlines the critical division between core contributions (which must reside in the main text) and supporting details (which belong in appendices or supplementary materials). Learn how to properly manage experimental results, proofs, and supplementary data to ensure the main narrative remains self-contained and highly impactful.

Provides a comprehensive, end-to-end workflow guide for academic papers submitted to journals. It meticulously covers every stage, from initial topic selection, structured writing, and experimentation, through the submission process, multi-round revisions, acceptance, and final typesetting. This tool helps users manage the entire publication lifecycle and proactively avoid common temporal pitfalls.

This skill guides authors on assessing the suitability of their consumer-psychology manuscripts for the Journal of Consumer Psychology (JCP). It evaluates the manuscript's alignment with JCP's rigorous academic standards, focusing on psychological theory contribution, process mechanisms, experimental design rigor, and house style requirements. It is essential for authors targeting JCP or needing to re-frame a paper for a top-tier consumer psychology venue.