Likert Scale Survey Prompts
Attitude measurement framework using graduated response options Discover how these prompts can help you collect actionable insights, improve engagement, and ...
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Features
- Customizable scale anchors
- Neutral midpoint validation
- Cross-cultural response normalization
Benefits
- Quantify subjective opinions
- Enable trend analysis
- Simplify complex sentiment measurement
Frequently Asked Questions
- Use information theory principles - 7±2 points balances discrimination power and cognitive load. Conduct pretests comparing 5/7/9-point reliability. Analyze variance in pilot responses. Consider cultural factors (Asian vs Western response styles)
- Implement scale orientation training with visual anchors. Use culture-specific reference examples. Conduct response style weighting (e.g., extreme vs moderate). Include validation checks with reversed items
- Use non-parametric tests (Mann-Whitney, Kruskal-Wallis) for ordinal data. For advanced modeling, treat as interval with normality checks. Implement reliability testing (Cronbach's alpha). Use factor analysis for construct validity
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