Skill UI

A comprehensive audit checklist for submitting papers to the INFOCOM conference. It covers critical compliance aspects, including the two-step abstract registration process, strict IEEEtran formatting rules (9-page body limit), mandatory double-blind anonymization, and adherence to author submission caps. Use this guide to ensure your manuscript meets all technical and procedural requirements before the deadline.

A comprehensive project management guide for navigating the IEEE INFOCOM conference submission cycle. This skill outlines every critical milestone, from initial topic selection and abstract registration through full-paper submission, camera-ready preparation, and final presentation. It emphasizes backward planning around the single annual summer deadline and highlights key risk areas for success.

A comprehensive guide for authors preparing camera-ready papers for the INTERSPEECH conference. It covers critical steps like de-anonymizing content, ensuring accurate metadata linking (DOI/ISCA Archive), meeting author registration requirements for proceedings inclusion, and planning oral or poster presentations.

A comprehensive guide for authors submitting research papers to ISSTA. It details critical steps such as adhering to ACM sigconf formatting, maintaining the 18-page limit, enforcing double-anonymous review, establishing the artifact plan, and managing HotCRP registration to prevent desk rejection.

A comprehensive guide for academic authors detailing mandatory compliance requirements for high-impact publications. This checklist covers essential elements such as prospective clinical trial registration, IRB/ethics approval statements, obtaining informed consent, adhering to ICMJE authorship criteria, disclosing conflicts of interest, and providing detailed data-sharing plans. Use this when preparing a manuscript for submission to major medical journals.

A comprehensive guide for advanced statistical analysis in consumer psychology, moving beyond simple p-values. It details how to rigorously test complex processes like mediation and moderation (measured and experimental). This resource emphasizes reporting standards for high-impact journals, covering effect sizes, confidence intervals, pre-registration, and establishing causal evidence.

A comprehensive guide for designing rigorous experimental studies in behavioral science. It covers establishing causal links, testing psychological mechanisms (mediation and moderation), controlling confounding variables, conducting power analysis, and adhering to modern academic standards like pre-registration, ensuring research meets the high bar of top-tier journals.

Provides comprehensive guidelines for meeting modern academic publishing standards, particularly those required by educational psychology journals. It outlines mandatory requirements for ensuring research reproducibility, including depositing data, materials, and analysis code in trusted repositories with persistent identifiers (DOIs), adhering to JARS reporting standards, and documenting preregistration status.

This resource simulates the rigorous peer review process of a top journal, focusing on educational relevance, theoretical mechanism, design rigor (especially nested data analysis), and transparency standards (JARS, preregistration). Use this guide to stress-test your manuscript before submission, preemptively address common rejection patterns, or interpret a complex decision letter, ensuring your work meets the highest academic standards.

This skill assists researchers in creating methodologically rigorous study designs for educational psychology manuscripts, especially when dealing with nested data structures (e.g., students within classes within schools). It guides users in matching the unit of randomization, power, and analysis to the correct cluster level. Focus areas include ensuring robust cluster-level power, establishing ecological validity, developing pre-analysis plans, and adhering to preregistration standards.

This guide helps researchers meet rigorous open science and transparency requirements, such as those mandated by journals like JAP. It details the process of depositing data, analysis code, and materials with persistent identifiers (DOIs), drafting comprehensive data-availability statements, and correctly managing prior-use disclosures and pre-registrations. Essential for ensuring research reproducibility and publication compliance.

This skill provides a rigorous framework for designing academic studies, particularly for high-impact psychological journals. It guides researchers to proactively address common methodological pitfalls such as common-method variance (CMV), unmodeled nesting, and construct validity gaps. Topics covered include temporal separation, multi-level modeling, advanced causal inference techniques (DiD, IV), and pre-registration best practices, strengthening the plan before data collection.