What research designs does this skill support?

It supports a comprehensive range of designs including Quantitative (RCTs, Quasi-experimental), Qualitative (Phenomenology, Grounded Theory, Ethnography), and Mixed Methods (Sequential, Convergent).

Can this skill help with academic journal standards?

Yes, it is programmed to adhere to rigorous standards such as GRADE, CONSORT, QUALMAT, and ACM to ensure your methodology is suitable for peer-reviewed publication.

Does it provide sampling and power analysis guidance?

It defines sampling strategies and explains the requirements for power analysis (N size) to ensure your study has sufficient statistical or thematic depth.

How does it handle threats to validity?

The skill performs a 'threats-to-validity audit' as part of its protocol, identifying potential biases and suggesting specific mitigation strategies.

Research Methodology Expert

Name: Research Methodology Expert
Author: poemswe

bypoemswe

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Data Science & ML

Matches complex research questions to rigorous experimental designs, sampling strategies, and validity controls using PhD-level frameworks.

About

The Research Methodology skill transforms Claude into a specialized consultant for academic and scientific inquiry, ensuring that your study design is logically sound and methodologically rigorous. It classifies research questions—whether exploratory, causal, or descriptive—and provides detailed guidance on quantitative, qualitative, and mixed-methods approaches. By adhering to international standards like CONSORT and GRADE, the skill helps users navigate trade-offs between different designs, perform validity audits, and define precise sampling and analysis strategies for high-impact research.

Key Features

10 GitHub stars
Automated research question classification into methodological families
Adherence to discipline-specific standards like GRADE, CONSORT, and ACM
Tailored recommendations for RCTs, quasi-experimental, and qualitative designs
Support for mixed-methods integration and weighting strategies
Rigorous validity assessments and threat-to-validity audits

Use Cases

Selecting appropriate qualitative frameworks like Grounded Theory or Phenomenology
Developing a robust experimental design for a scientific paper or clinical study
Conducting a validity check on a proposed survey or longitudinal study design

About

Key Features

10 GitHub stars
Automated research question classification into methodological families
Adherence to discipline-specific standards like GRADE, CONSORT, and ACM
Tailored recommendations for RCTs, quasi-experimental, and qualitative designs
Support for mixed-methods integration and weighting strategies
Rigorous validity assessments and threat-to-validity audits

Use Cases

Selecting appropriate qualitative frameworks like Grounded Theory or Phenomenology
Developing a robust experimental design for a scientific paper or clinical study
Conducting a validity check on a proposed survey or longitudinal study design