Skill UI

A comprehensive self-auditing guide designed for authors preparing manuscripts for submission to top-tier academic journals. It systematically addresses recurring, structural, and critical flaws across theory contribution, econometric identification, mechanism explanation, heterogeneity analysis, and writing conventions. This tool helps authors proactively identify and correct potential weaknesses before facing peer review.

A comprehensive framework for strengthening International Relations (IR) manuscripts, particularly for top-tier journals. It guides researchers through rigorous design requirements, including causal identification in dyadic/network data, structured case selection and process tracing, experimental planning (surveys/conjoint), and formal-empirical linkages. The focus is on ruling out rival explanations and establishing robust empirical claims.

Use this skill when you observe a consumer behavior effect but lack a deep psychological explanation. It guides the construction of a robust causal chain (antecedent → mediator → outcome) by explicitly naming the core psychological process (mediator), deriving theoretical moderators, and pre-empting rival hypotheses, adhering to high academic standards in consumer psychology.

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.

This comprehensive guide assists researchers in structuring rigorous and contribution-worthy academic theories suitable for top-tier journals. It meticulously details both the deductive path (building hypotheses through explicit mechanisms) and the inductive path (creating auditable, grounded models from qualitative data). It teaches how to move beyond mere description to establish profound theoretical insights and address rival explanations.

A guide for integrating behavioral theory into rigorous empirical studies. It outlines the necessary steps to move beyond descriptive findings of irrationality by constructing a statistically identifiable behavioral model (e.g., incorporating loss aversion parameters) and testing it against rational baselines using controlled, incentive-compatible experimental designs. Essential for submitting papers requiring model explanation of behavioral biases.

A comprehensive guide for defending the methodological rigor of academic manuscripts, particularly for top-tier journals. It covers advanced causal identification techniques (DID, IV, RDD) for quantitative work, robust experimental design, and detailed strategies for process tracing and case selection in qualitative research. The core focus is ensuring the design is highly reproducible and clearly addresses potential confounding variables and rival explanations.

This guide outlines the scope and requirements for submitting manuscripts to the Journal of Sports Research. It focuses on advanced sport social science and humanities, demanding rigorous theoretical dialogue in areas like sport sociology, governance, policy, history, and philosophy. It guides authors to transform empirical findings into theoretical explanations of social processes and mechanisms, avoiding pure policy reports or technical descriptions.

A comprehensive guide to defending causal claims in policy and program evaluation, adhering to rigorous econometric standards (e.g., JPAM). It covers advanced methods such as RCT, Difference-in-Differences (DiD), Regression Discontinuity (RDD), Instrumental Variables (IV), and Synthetic Control. This guide emphasizes stating the estimand, defending identification assumptions, and robustly ruling out alternative causal explanations, rather than just writing estimation code.

A comprehensive guide to strengthening research designs for public administration manuscripts, particularly for rigorous journals that emphasize experimental and causal identification. It covers experimental designs, causal observational methods (DID, IV, RDD), multilevel modeling, and mixed methods, providing frameworks to defend against common methodological biases and rival explanations.

This skill guides authors on how to proactively strengthen their academic manuscripts before submission, especially for highly demanding journals. It involves identifying the most likely expert reviewers, predicting their specific methodological, theoretical, or empirical objections, and strategically integrating countermeasures, robustness checks, and alternative explanations directly into the main text. It transforms the submission process from a defensive reaction to a proactive, structured argument.

A comprehensive guide on methodological rigor for submitting manuscripts to Social Forces. It covers designing causal inference (panel/DID/IV/RDD), demographic analysis, comparative-historical case selection, and network/computational methods. The focus is on strengthening the design by rigorously defending assumptions and ruling out alternative explanations, ensuring methodological soundness beyond mere association.