Skill UI

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.

This skill provides a rigorous framework for defending the methodology of advanced educational research manuscripts, suitable for top-tier academic journals. It guides users through defining research structure across quantitative (e.g., multilevel, quasi-experimental), qualitative (e.g., ethnography, case study), and mixed methods paradigms. Focus areas include addressing rival explanations, ensuring measurement validity, establishing causal claims, and meeting stringent reporting standards (AERA).

This tool serves as an orchestrator for authors preparing submissions to Cognitive Psychology (Elsevier). It guides users through the entire research lifecycle—from initial topic selection and theoretical formalization to study design, data analysis, and open science practices. It emphasizes structuring the contribution as a model-driven, multi-experiment program, ensuring all necessary steps, including code transparency, are addressed.

Provides a comprehensive framework for defending the methodological rigor of comparative social science research. This skill guides users through establishing comparative leverage, whether in cross-national panel data, case-based comparisons, or natural experiments. It emphasizes techniques like causal inference, process tracing, and ruling out rival theoretical accounts to strengthen the study's claims.

A comprehensive planning tool for developmental psychology researchers designing studies that must support a claim of change. It systematically guides users through critical methodological issues, including addressing age vs. cohort confounds, planning for measurement invariance across ages, handling attrition, and properly justifying sample size for growth slopes. Essential for strengthening the pre-analysis plan of longitudinal and cross-sectional designs.

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.

A comprehensive guide for structuring a multi-study manuscript, particularly for high-tier journals. This skill focuses on building a coherent set of related studies—rather than a single experiment—to robustly test a major theory. It guides users through sequencing studies, determining necessary power, selecting appropriate designs (longitudinal, dyadic, experimental), and implementing preregistration to ensure convergence and internal validity.

This skill assesses whether a research question or study aligns with the scope of top-tier public economics journals, such as JPubE. It guides the user to evaluate the government's economic role, the welfare implications, and the international generalizability of the findings, providing a critical review pass before submission.

This guide details best practices for generating self-contained, high-impact exhibits (tables and figures) for academic journals, particularly those with strict page limits like Management Science. It instructs users on structuring both theoretical proofs (analytical lane) and empirical results (e.g., regression coefficients, event-study plots) to ensure the findings are immediately readable and persuasive, even without reading the main text.