Skill UI

A comprehensive guide for academic researchers preparing submissions for top-tier Information Systems journals like MIS Quarterly. It helps validate if a research idea is genuinely IT-centric, assigns it to one of the four core IS traditions (Behavioral, Design Science, Economics, Organizational), and selects the optimal manuscript genre to ensure scope and fit for publication.

A guide for transforming abstract marketing phenomena into rigorous, mathematically testable models. It covers both analytical (game-theoretic) and structural econometric approaches, emphasizing the specification of primitives, deriving equilibria, and establishing clear identification arguments for academic research.

This guide helps researchers determine if their project genuinely involves machine learning and computer system co-design. It outlines criteria, such as the "co-design test," and provides a routing table to decide whether the work belongs at MLSys compared to general systems conferences (OSDI, SOSP) or pure ML venues (ICML, NeurIPS).

A comprehensive guide to ensuring reproducibility in radio frequency (RF) physical layer measurements. It details the necessity of maintaining a detailed provenance ledger—recording radio hardware, channel conditions, mobility patterns, and software versions at the time of the run. The goal is not bit-identical results, but documenting variance and methodology so that findings can be validated on different testbeds or later in time, while also addressing legal and ethical data shipping constraints.

Provides a comprehensive methodology for evaluating mobile computing systems. It mandates rigorous, real-device testing, focusing on instrumenting energy consumption, thermal behavior, latency distribution (tails), and memory limits. This guide ensures academic submissions are credible, repeatable, and compare performance against robust, tuned baselines.

A rigorous pre-submission assessment tool designed to stress-test scientific manuscripts against the high standards of top-tier journals (like Molecular Cell). It evaluates whether the molecular mechanism is deep, proven by orthogonal approaches, and possesses clear physiological relevance. It guides authors on strengthening gaps and determining the most appropriate scientific venue.

This guide provides a rigorous framework for conducting mechanism (mediation/moderation) and heterogeneity analyses for empirical research papers, particularly adhering to high academic standards. It helps researchers move beyond simple correlation to establish causal pathways ('why') and identify differential effects ('for whom') by incorporating theoretically grounded intermediate variables and performing sophisticated econometric tests like causal mediation and interaction effects.

This skill serves as a detailed guide for authors submitting theoretical articles in syntax or morphology to Natural Language & Linguistic Theory (NLLT). It outlines the journal's specific expectations, emphasizing that formal analyses must be deeply grounded and rigorously tested using rich, representative, and often cross-linguistic empirical data. Use this tool to assess the methodological rigor, scope fit, and structural requirements of your manuscript against NLLT's high academic standards.

This comprehensive guide helps authors rigorously assess if their nanoscience research meets the high conceptual and methodological bar set by Nature Nanotechnology. It covers identifying true conceptual breakthroughs, ensuring direct nanoscale characterization, checking structural requirements, and following the latest submission guidelines. Use this tool to determine if your work constitutes a milestone advance.

A comprehensive academic guide for validating survey instruments. This resource details required standards for reliability (Cronbach's α, Composite Reliability), validity (AVE, Fornell-Larcker, HTMT), and diagnosing common method bias (CMV) in self-report studies. It outlines best practices for cross-cultural adaptation, pre-testing, and advanced statistical reporting necessary for high-impact academic publications.

A comprehensive preflight checklist designed for authors submitting manuscripts to specific academic journals, such as Nankai Business Review. It guides authors through verifying all critical elements, including word count, abstract structure (problem-method-finding-contribution), reference style (GB/T 7714), anonymity compliance, and adherence to the latest journal guidelines. Use this guide right before final submission.

A comprehensive guide for conducting advanced quantitative research using Structural Equation Modeling (SEM) on questionnaire data. It details rigorous procedures for testing complex causal relationships, including mediation, moderation, and moderated mediation, alongside handling nested data via Hierarchical Linear Modeling (HLM). Essential for academic papers requiring robust inference.