Skill UI

This comprehensive guide assists users in analyzing and reporting data for high-impact academic journals, specifically following the rigorous standards of the Journal of Consumer Research (JCR). It covers advanced statistical process evidence (mediation, moderation, effect sizes) for behavioral experiments, as well as methods for establishing trustworthiness in interpretive (CCT) research. It emphasizes transparency, replication code, and adherence to modern research reporting mandates.

This comprehensive guide serves as the final preflight checklist for authors submitting manuscripts to the Journal of Consumer Research (JCR). It ensures strict compliance with complex academic publishing standards, including double-anonymization procedures, adherence to specific length caps (e.g., 60 pages), word count limits for abstracts and contribution statements, and modern data transparency reporting (Step-6). It is essential for maximizing submission readiness and avoiding common formatting pitfalls.

A comprehensive guide detailing the advanced statistical standards required for publishing in top educational psychology journals. It covers modeling nested data (multilevel/SEM), reporting educationally meaningful effect sizes with confidence intervals, testing theoretical mechanisms (mediation/moderation), and ensuring full methodological disclosure (JARS). This resource is crucial for researchers aiming for high-impact, reproducible empirical studies.

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.

Provides a comprehensive preflight checklist for submitting academic manuscripts to high-tier journals (e.g., JEP). This guide details essential requirements such as APA 7th edition formatting, word count limits, masked anonymity, and mandatory transparency reporting (data/code DOIs). It is crucial for ensuring submissions meet strict scholarly standards before final upload.

This guide provides expert standards for creating rigorous, self-contained tables and figures for top-tier academic journals (like JFE). It covers detailed conventions, such as structuring exhibits to convey a single, clear message, consistently reporting statistical metrics (SEs/t-stats), and ensuring figures visualize patterns rather than merely decorate. Essential for submitting polished, publication-ready empirical research.

A comprehensive guide to designing highly defensible and causal research studies for top-tier finance journals, such as the Journal of Financial and Quantitative Analysis (JFQA). It covers advanced econometric methods for corporate finance, asset pricing, and policy shocks, including Fixed Effects, Staggered Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity Design (RDD). Focuses on addressing endogeneity, reporting economic magnitude, and ensuring robust inference.

Provides a comprehensive framework for conducting and reporting robustness checks in health economics studies. It guides authors to organize findings by addressing specific threats to the core claim (e.g., selection bias, concurrent policy changes, measurement error) rather than simply appending multiple specifications. Essential for ensuring results are stable and defensible for top-tier journal submissions.

This comprehensive guide provides rigorous methodological guidelines for executing and reporting empirical analysis on cross-national, multi-level, or panel data, specifically tailored for top-tier international business journals. It covers essential checks like measurement invariance (configural to scalar), Common Method Variance (CMV), dynamic endogeneity, and appropriate estimation techniques (e.g., Multilevel SEM, GMM), ensuring research meets the highest academic standards.

This methodology provides a rigorous guide for developing cross-national theoretical frameworks for international marketing research. It teaches researchers how to move beyond merely reporting observed differences across countries. Instead, users must pre-theorize the underlying mechanisms (e.g., cultural values, institutional voids, economic maturity) that predict cross-national variation, ensuring hypotheses are architecturally sound and testable for high-impact academic journals.

A comprehensive guide for conducting and reporting rigorous statistical analysis for academic marketing manuscripts, particularly tailored for the Journal of Marketing (JM) standards. It covers selecting appropriate estimators for various designs (e.g., panel, choice, field experiments), managing identification, testing robustness, and adhering to the mandatory reporting of p-values, standard errors, and managerial effect sizes. Also covers data replication and advanced econometric techniques.

Provides a comprehensive pre-submission checklist for manuscripts targeting the Journal of Marketing (JM). It verifies adherence to strict, evolving academic guidelines, covering double-anonymization, specific formatting (e.g., 50-page limit, Times New Roman), exact statistic reporting, and mandatory inclusion of a Data Availability Statement. Essential for authors preparing for submission via ScholarOne.