II.
LibrarySkill overview
Reference · livelib-skill:social-sciences--quantitative-methods
quantitative-methods overview
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
Attributes
displayName
quantitative-methods
description
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
libraryPath
library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods/SKILL.md
specialization
social-sciences
contentSummary
# Quantitative Methods Skill
Design and execute rigorous statistical analyses for social science research using modern analytical tools.
## Overview
The Quantitative Methods skill enables design and execution of statistical analyses including regression modeling, hypothesis testing, power a
Outgoing edges
lib_applies_to_domain1
- domain:social-sciences·DomainSocial Sciences
lib_belongs_to_specialization1
- specialization:social-sciences·SpecializationSocial Sciences
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:data-scientist·RoleData Scientist
- role:research-scientist·RoleResearch Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:machine-learning-frameworks·SkillAreaMachine Learning Frameworks
Incoming edges
None.