Skill UI

A comprehensive guide to structuring robustness checks for behavioral economics and empirical research. Instead of merely listing statistical tests, this framework mandates organizing checks by the underlying behavioral threat (e.g., experimenter demand, multiple comparisons, specification choice). It provides specific guidelines for experiments, observational data, and simulations, ensuring that findings are robust against alternative behavioral explanations and methodological choices.

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 skill acts as an orchestrator for manuscripts submitted to the Journal of Marriage and Family (JMF). It guides authors through the entire academic lifecycle, from initial idea selection to final submission or revision. It determines the appropriate stage (e.g., literature positioning, research design, data analysis) and the required format (full article or brief report), ensuring the contribution maintains a strong focus on family-science topics.

This guide provides a comprehensive framework for advanced theory development, crucial for high-impact academic writing, particularly in management sciences. It trains authors to move beyond simple data correlation by structuring hypotheses through explicit theoretical mechanisms: Antecedent $\rightarrow$ Mechanism $\rightarrow$ Outcome. It advises on building a robust theoretical contribution, defining boundary conditions, and organizing meta-analyses or systematic reviews.

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.

A comprehensive final checklist for authors submitting manuscripts to top academic journals (e.g., JAP) via Editorial Manager. It ensures compliance with APA 7th edition style, full author anonymization for masked review, adherence to open science (TOP) standards (data/code availability), and statistical rigor. This guide helps prevent common submission failures before final upload.

This workflow orchestrates the entire manuscript submission process for the Journal of Applied Psychology (JAP). It guides authors by ensuring the paper addresses two critical standards: a theoretical contribution to I-O science, and high rigor in design and measurement. It routes users through specific stages—from topic selection and theory development to study design, data analysis, and revision.

A comprehensive guide for authors preparing manuscripts for the Journal of Communication (JoC). It details the requirements for achieving open science and transparency, covering essential elements like the Data Availability Statement (DAS), Open Science Badges (Open Data, Open Materials, Preregistration), and best practices for ensuring reproducibility across quantitative, computational, and qualitative methodologies. Learn how to build materials as you write.

This comprehensive guide is designed for authors submitting full-length manuscripts to Journal of Geophysical Research: Atmospheres (JGR-Atmospheres). It helps assess the fit, required depth, and methodological rigor of atmospheric science studies. The skill covers essential topics like aerosol interaction, cloud physics, atmospheric dynamics, data requirements (FAIR), and the specific structural expectations (e.g., Plain Language Summary) needed to meet the journal's high standard for quantitative, definitive scientific advances.

This guide outlines the rigorous open science and transparency requirements for submissions to the Journal of Personality and Social Psychology (JPSP). It details compliance with APA's TOP Guidelines at Level 2, mandating the proper disclosure of data, analysis code, and materials in a trusted repository. It also covers JARS reporting standards and guides authors on stating the preregistration status, ensuring research reproducibility.

A comprehensive pre-writing guide for researchers determining the optimal venue and track for a data science contribution. It outlines a two-stage decision process: first, assessing if the work aligns with the KDD focus on data regimes (scale, drift, heterogeneity); and second, selecting the correct track (Research, ADS, Datasets & Benchmarks, etc.) based on the strongest, most honest evidence available—especially emphasizing real-world deployment outcomes.

A comprehensive project management guide for planning submissions to KDD, accounting for its unique structure of two annual submission cycles. It covers milestone tracking, cycle-choice decision matrices, managing the Resubmit loop, and planning evidence lead times from abstract to camera-ready status. Essential for complex, multi-stage data science research.