What is the 5-Phase VS-Research process in E1?

It is a methodology that starts with context collection, identifies common 'modal' methods, explores 'long-tail' innovative alternatives, selects the optimal fit for the data, and provides execution guidance with suitability verification.

What coding languages are supported for data analysis?

E1 generates production-ready code for R (tidyverse), Python (scipy/pingouin), and syntax for SPSS users.

Does E1 support qualitative research like thematic analysis?

Yes, E1 includes specialized guidance for qualitative methods including Braun & Clarke thematic analysis, grounded theory, discourse analysis, and IPA.

Can this skill help with sample size determination?

Absolutely. E1 includes automated power analysis (a priori) to determine required N and sensitivity analysis to identify the minimum detectable effect size for your current sample.

How does E1 help with peer review preparation?

It specifically targets 'Low-Typicality' methods that offer higher methodological contribution, provides APA 7th edition reporting formats, and includes rigorous assumption checking to ensure results are defensible.

Diverga E1: Advanced Research & Statistical Analysis

Name: Diverga E1: Advanced Research & Statistical Analysis
Author: HosungYou

byHosungYou

0•

Data Science & ML

Automates complex quantitative and qualitative research workflows with 5-phase methodological guidance and multi-language code generation.

Diverga E1 is a flagship research-oriented skill that guides users through a sophisticated 5-phase analytical process to ensure methodological rigor. Unlike basic analysis tools, E1 identifies 'modal' (common) methods and suggests 'Long-Tail' innovative alternatives to increase the chances of publication in top-tier journals. It supports a vast range of quantitative techniques—from standard ANOVA to Bayesian mixed-effects models—and qualitative frameworks like Grounded Theory and Reflexive Thematic Analysis. The skill provides end-to-end support including assumption checking, R/Python/SPSS code generation, power analysis, and APA-compliant reporting templates.

Key Features

01Built-in power analysis and sensitivity checks for robust data inference.

025-Phase VS-Research process to avoid obvious or biased analytical paths.

030 GitHub stars

04Methodological Typicality Scoring (T-Score) to identify innovative research directions.

05Integrated code generation for R, Python (pingouin/pandas), and SPSS syntax.

06Dual-track support for both high-level quantitative and qualitative methodologies.

Use Cases

01Designing structured qualitative coding frameworks for interview and focus group data.

02Selecting and justifying innovative statistical methods for high-impact journal submissions.

03Generating reproducible R or Python scripts for experimental data analysis.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hosungyou/diverga e1

For use in Claude.ai and ChatGPT

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