What reporting standards does this skill support?

This skill aligns with the APSA Experimental Section, JARS-Quant (APA 2020), DA-RT, and CONSORT 2010 standards for reporting experimental research.

Does it support conjoint or survey experiments?

Absolutely. It includes specific best practices for conjoint attribute pilots, factorial vignette designs, and survey-quality standards like the survey error pipeline.

Can I use this for pre-registration?

Yes, it provides a specific framework for distinguishing between study registration and detailed pre-analysis plans, focusing on the six core elements required for confirmatory experiments.

How does it help with statistical reporting?

It implements a three-tier results labeling system (primary, secondary, and exploratory) to manage error rates and ensures raw results are reported alongside adjusted models.

Scientific Methods Reporter

Name: Scientific Methods Reporter
Author: scdenney

byscdenney

•

Data Science & ML

Audits and drafts high-transparency reporting sections for experimental social science following JARS-Quant and CONSORT standards.

The Methods Reporting skill is a specialized tool for Claude Code designed to help researchers align their work with rigorous open-science standards. It implements a comprehensive 45-item reporting checklist synthesized from social science standards like APSA, JARS-Quant, and DA-RT. This skill is essential for researchers drafting pre-analysis plans, auditing methods sections for peer review, or documenting complex conjoint and factorial designs. By providing structured guidance on everything from subject recruitment and randomization to sample flow and three-tier statistical labeling, it ensures research documentation is transparent, reproducible, and compliant with modern methodological texts.

Key Features

01Automated auditing of methods sections for transparency gaps.

02Standardized reporting for conjoint and factorial vignette designs.

03Detailed guidance for pre-analysis plans (PAP) and pre-registration.

0445-item comprehensive reporting checklist for experimental social science.

0515 GitHub stars

06Support for JARS-Quant, APSA, and CONSORT-style sample flow documentation.

Use Cases

01Preparing a methods section for submission to a high-impact social science journal.

02Documenting experimental treatments, stimuli, and randomization procedures for a replication package.

03Auditing a pre-registration document to ensure all six core Lakens elements are present.

Key Features

01Automated auditing of methods sections for transparency gaps.

02Standardized reporting for conjoint and factorial vignette designs.

03Detailed guidance for pre-analysis plans (PAP) and pre-registration.

0445-item comprehensive reporting checklist for experimental social science.

0515 GitHub stars

06Support for JARS-Quant, APSA, and CONSORT-style sample flow documentation.

Use Cases

01Preparing a methods section for submission to a high-impact social science journal.

02Documenting experimental treatments, stimuli, and randomization procedures for a replication package.

03Auditing a pre-registration document to ensure all six core Lakens elements are present.