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data-analysis

Guide quantitative, qualitative, and mixed methods data analysis with statistical test selection.

Updated Mar 12, 2026
Search Tags:#data analysis#statistics#r#qualitative#quantitative#mixed methods#spss
One-click install
npx skills add https://github.com/faizalhaini958/igris --skill data-analysis-faizalhaini958
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/faizalhaini958/igris/tree/main/skills/data-analysis
Command: npx skills add https://github.com/faizalhaini958/igris --skill data-analysis-faizalhaini958

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance for performing quantitative, qualitative, and mixed methods data analysis, helping users select appropriate statistical tests, interpret results, and choose the right tools.

Core Features & Use Cases

  • Quantitative Analysis: Step-by-step guide for data preparation, descriptive statistics, inferential test selection, assumption checking, effect size calculation, and result reporting.
  • Qualitative Analysis: Covers familiarization, coding techniques, thematic analysis, quality criteria, and reporting for qualitative data.
  • Mixed Methods: Explains integration strategies and common design types.
  • Tool Recommendations: Compares SPSS, R, Python, JASP, NVivo, and ATLAS.ti for various analysis needs.
  • Use Case: A researcher needs to analyze survey data. This Skill guides them through choosing the correct statistical tests (e.g., t-tests, ANOVA), checking assumptions, and reporting findings accurately.

Quick Start

Use the data-analysis skill to help me choose the right statistical test for comparing the means of two independent groups.

Frequently Asked Questions about data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right statistical test for my quantitative data analysis?▼

Statistical test selection for quantitative data analysis depends on your research question, data types, and distribution. This Skill guides you through selecting appropriate inferential tests like t-tests or ANOVA, checking assumptions, and calculating effect sizes.

What is the best way to conduct thematic analysis for qualitative data?▼

Thematic analysis for qualitative data involves familiarization, systematic coding, and theme identification. This Skill provides structured methodologies for applying coding techniques, evaluating quality criteria, and reporting qualitative findings accurately.

How do I perform mixed methods data analysis and integrate the results?▼

Mixed methods data analysis requires combining quantitative and qualitative results using specific integration strategies. This Skill explains common mixed methods design types and guides you through structured integration workflows for robust research reporting.

Should I use SPSS, R, or Python for my data analysis workflow?▼

Choosing between SPSS, R, and Python for data analysis depends on your statistical needs and coding proficiency. This Skill compares these tools alongside JASP, NVivo, and ATLAS.ti to help you select the right software for your methodology.

Do I need to check data assumptions before running inferential statistics?▼

Checking data assumptions is required before running inferential statistics to ensure valid results. This Skill guides you through the data preparation process, including verifying statistical assumptions and calculating effect sizes for accurate reporting.

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