skills.rest
HaoxuanLiTHUAI
HaoxuanLiTHUAICOMMUNITY
Explore all skills by this author →
GitHub

Sentence Stimulus Norming

Plans and documents linguistic stimulus norming for psycholinguistic experiments.

34|5|Updated Feb 28, 2026
Search Tags:#cloze#psycholinguistics#norming#plausibility#acceptability#lexical-controls
One-click install
npx skills add https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills --skill sentence-stimulus-norming
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Sentence Stimulus Norming
Source: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/tree/main/skills/sentence-stimulus-norming
Command: npx skills add https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills --skill sentence-stimulus-norming

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The skill encodes expert methodological knowledge for norming linguistic stimuli before running psycholinguistic experiments. It helps researchers prevent confounds by establishing baseline cloze probabilities, plausibility/acceptability ratings, and lexical property controls (frequency, length, AoA, concreteness), ensuring stimuli are well-validated prior to data collection.

Core Features & Use Cases

  • Design and execute cloze probability studies with recommended sample sizes and scoring rules.
  • Collect plausibility and acceptability ratings using standard Likert scales and recommended workflows.
  • Apply lexical controls (SUBTLEX frequency, AoA, concreteness, length, orthographic neighborhood) and apply Latin square counterbalancing for within-item designs.
  • Plan and document online norming workflows with quality checks, fillers, practice items, and reporting.

Quick Start

Provide your stimulus list and I will generate a complete cloze norming protocol with item counts, rating scales, and lexical matching criteria.

Frequently Asked Questions about Sentence Stimulus Norming

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

FAQPage Schema
Why do I need cloze norming before running psycholinguistic experiments?▼

Cloze norming establishes baseline completion probabilities for linguistic stimuli, preventing confounds in psycholinguistic experiments. It validates that target words are predictable at expected rates before data collection begins.

How do I collect plausibility and acceptability ratings for sentence stimuli?▼

Collect plausibility and acceptability ratings using standard Likert scales with recommended workflows. Apply Latin square counterbalancing for within-item designs and include fillers plus practice items for quality control.

What lexical controls do I need for psycholinguistic stimulus norming?▼

Lexical controls require matching stimuli on SUBTLEX frequency, age of acquisition, concreteness, length, and orthographic neighborhood. These properties ensure items are balanced across conditions and reduce unintended confounds.

Can I run stimulus norming studies online instead of in the lab?▼

Online norming workflows are supported with quality checks, filler items, practice trials, and reporting standards. The skill specifies recommended sample sizes and quality-control practices for both lab and online contexts.

What sample size do I need for reliable cloze probability norming?▼

Recommended sample sizes for cloze norming depend on your stimulus count and design complexity. The skill provides expert methodological guidance on appropriate participant counts and scoring rules for valid baseline estimates.

Related Skills

Explore More Education & Research Skills→
NeuroAIHubNeuroAIHub
34

Sentence Stimulus Norming

Document cloze, plausibility, and acceptability norming protocols for sentence stimuli.

Official
Advanced
neuromechanistneuromechanist
42

experiment-design

Design and implement neuroscience experiments with PsychoPy and Lab Streaming Layer synchronization.

Community
Intermediate
kriegcloudkriegcloud
68

ontology-mapper

Generate and validate SSSOM mapping sets between ontologies using lexical matching and LLM-assisted verification.

Community
Advanced
dkyazzentwatwadkyazzentwatwa
86

survey-analyzer

Analyzes survey responses with statistical tests, sentiment scoring, and PDF report generation.

Community
Advanced