Skill UI

This guide provides comprehensive guidelines for selecting, validating, and defending rigorous research designs for Contemporary Accounting Research (CAR) manuscripts. It covers various approaches—including panel archival, controlled experiments, analytical models, field studies, and surveys—while stressing critical rigor checks like identification strategy, internal validity, and model discipline. It also mandates adherence to ethical review processes and data integrity policies.

A detailed guide for scrutinizing statistical inference in high-level econometric manuscripts, designed to withstand rigorous technical peer review. It covers critical areas such as selecting appropriate clustering levels, handling weak instrumental variables (IV), correcting for multiple hypothesis testing, and ensuring accurate standard error reporting for panel data and causal inference models.

A comprehensive guide to strengthening the quantitative research design for communication manuscripts. It covers best practices and methodological rigor for experiments (lab/online), panel surveys, and content analysis. Learn how to pre-register designs, control for common confounds (e.g., common-method variance), and rigorously establish causality, helping you defend your work against skeptical reviewers.

A comprehensive guide for rigorous data analysis execution and reporting in criminology research. This skill covers advanced econometric techniques required for analyzing complex crime data, including count models (Negative Binomial, Zero-Inflated), fixed-effects panel data, and survival/recidivism modeling. It emphasizes transparently reporting uncertainty, addressing selection bias, and ensuring methods are fully reproducible for expert peer review.

A detailed guide for modeling the complete academic peer-review lifecycle, specifically tailored to the ECCV conference structure. It covers the timeline from submission through rebuttal and AC discussion to final decision, detailing critical points such as co-author enforcement regimes, LLM policy adherence, panel reviewer composition, and strategic points influencing the final outcome. Essential for researchers targeting top-tier vision conferences.

This skill guides authors preparing manuscripts for academic journals, specifically addressing the unique 'Panel Review' model (like those at Economic Policy). Instead of standard anonymous refereeing, the paper faces a live debate from two named discussants (Academic and Policy). It teaches authors how to 'war-game' these experts, anticipating their specific objections on rigor and relevance, and planning pre-emptive fixes or precise live rebuttals.

This guide teaches authors how to strategically position their research contribution within the highly multidisciplinary scope of Environmental Science & Technology (ES&T). It emphasizes framing the knowledge gap as a process, attribution, or mechanistic question, requiring engagement across adjacent fields like chemistry, engineering, toxicology, and policy, thereby ensuring novelty and depth for review panels.

This guide provides a comprehensive model of the academic review process used at FAccT. It details the interdisciplinary nature of the review panel (CS, law, social science), the OpenReview workflow, and the strategic implications of the 'Accept/Revise/Reject' decision set. It guides authors on navigating the stages, including rebuttals and revise-and-resubmissions.

This guide outlines the rigorous methodological standards required for empirical finance manuscripts. It covers essential details from sample construction (attrition tables, survivorship bias) to variable definition, merge integrity, and appropriate statistical inference (clustering, panel structure). Use this to harden your data layer and ensure your methodology is robust enough to pass peer review in top finance journals.

A comprehensive framework for conducting rigorous empirical data analysis required for top-tier academic journals. It guides users through building transparent archival samples, specifying appropriate panel data estimators (like firm/year fixed effects), ensuring correct standard error clustering, and executing sophisticated identification strategies (e.g., Difference-in-Differences, Instrumental Variables). Essential for addressing endogeneity and passing deep reviewer scrutiny.

This comprehensive guide details the rigorous submission standards and expectations for the Journal of Accounting Research (JAR). It covers the panel-based editorial structure, crucial checkpoints like conformance and fee gates, and distinct submission pathways such as Registered Reports and the Ray Ball Conference. It helps authors set realistic expectations for the entire academic review lifecycle.

A detailed guide simulating the rigorous, double-anonymized peer review process for New Media & Society manuscripts. It helps authors preemptively identify potential weaknesses—from theoretical positioning, methodological rigor, to ethical concerns—against the standards of interdisciplinary academic panels before actual submission.