Skill UI

This tool guides researchers in selecting and rigorously stress-testing appropriate methodologies (quantitative, qualitative, or normative) for public administration manuscripts. It ensures methodological alignment with the core research question, providing detailed checks for causal inference techniques (DID, IV, RDD) and qualitative rigor, thereby strengthening the overall academic argument.

A comprehensive preflight checklist designed for researchers submitting manuscripts to academic journals, specifically referencing 'Chinese Public Administration' (CPA). It guides users through critical areas such as format compliance (font, spacing, numbering), ensuring author anonymity and de-identification of qualitative data, proper citation according to National Standards (GB/T 7714), adherence to research ethics (IRB), and the organization of supplementary materials. Use this guide before the final submission to ensure methodological and structural rigor.

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 guide for drafting academic abstracts, specifically tailored for journals focusing on rural and agricultural economics. It enforces a strict five-sentence structure, requiring the inclusion of quantified findings, naming specific household survey datasets (e.g., CFPS, CHIP), and detailing rigorous identification strategies. This skill helps users eliminate boilerplate language and ensure semantic alignment between Chinese and English summaries.

This guide provides a comprehensive methodological framework and checklist for researchers conducting quasi-experimental and micro-panel studies in rural economics. It systematically addresses common econometric pitfalls, such as self-selection bias, reverse causality, and endogeneity, detailing best practices for advanced methods like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), and Propensity Score Matching (PSM).

This skill guides authors through defending complex research designs in Criminology. It covers advanced quantitative methods (e.g., DiD, IV, RDD, fixed effects), longitudinal analyses, and qualitative case studies. It teaches how to establish causal identification, address selection bias, and argue against rival theories, ensuring methodological rigor for high-impact academic submissions.

Provides comprehensive guidelines for researchers packaging and releasing artifacts (data, code, instruments) derived from real communities in CSCW research. It emphasizes ethical constraints, de-identification techniques (such as quote search and join attacks), and best practices for protecting studied communities' privacy, ensuring responsible sharing.

This guide provides an expert framework for advanced econometric analysis, focusing on establishing causal inference in fields like finance and trade. It details best practices for quasi-experimental designs (DID, IV, RDD, DML) and rigorously addresses common endogeneity issues such as policy bias, reverse causality, and anticipation effects, ensuring robust research methodology.

A comprehensive guide for authors preparing research manuscripts for top-tier academic economics journals. It details the systematic process of responding to reviewer reports (R&R), covering structural requirements, appropriate tones (acceptance, partial acceptance, rejection), and specific methodological tips (e.g., addressing endogeneity, mechanism identification, and policy relevance in the context of Chinese economics).

This workflow acts as a sophisticated router for academic manuscripts targeting high-level Chinese journals, specifically focusing on Finance and Trade Economics. It guides users through the entire writing lifecycle—from initial topic selection and literature review to rigorous econometrics (DID/IV/RDD), mechanism testing, and policy implication phrasing. When unsure of the next step or stuck on a bottleneck (e.g., weak identification, generic policy statements), it diagnoses the issue and directs the user to the most relevant specialized skill.

A comprehensive guide for authors responding to major journal revisions (R&R), particularly in demography. It outlines strategies for addressing expert reviewer critiques, reconciling conflicting methodological assumptions (like rates or identification), and defending the core demographic substance using rigorous evidence. This skill ensures the response is structured, respectful, and scientifically robust.

This guide assists users in structuring and rigorously defending the methodological design for demographic manuscripts. It provides detailed guidance on selecting and justifying advanced techniques—including life tables, decomposition analysis, survival models, Age-Period-Cohort (APC) modeling, and microsimulation. It emphasizes critical steps like establishing identification assumptions, addressing causal biases (selection and exposure), and formulating an adjudication test to rule out rival explanations, ensuring the research is methodologically robust.