Shorter surveys.
Less respondent burden.
Measurement you can defend.
We help research teams shorten questionnaires and assessments while evaluating how well the shorter version measures what matters to their study. Using Item Response Theory (IRT), we examine which items provide useful measurement across the range relevant to your research.
Six-page sample: simulated responses with public-domain IPIP items. Download code & data (ZIP)
Pricing and final scope provided after a feasibility audit.
Achievable length depends on your data.
What can change when
you shorten a survey?
A shorter questionnaire may measure well for some respondents and less accurately for others. This example shows why item selection should reflect your study’s purpose. Higher test information means greater precision; lower conditional standard error means less uncertainty.
From your original questionnaire
to a shorter, usable assessment.
| Decision need | Internal-consistency selection (alpha) | Factor structure analysis (CFA) | IRT + constrained item selection |
|---|---|---|---|
| Internal consistency | Yes | Model-based | Can assess |
| Latent structure | Limited | Yes | Requires model audit |
| Precision across score levels | Not directly | Not directly | Explicit target |
| Constrained item assembly | Not inherent | Not inherent | Explicit constraints |
| IRT scoring crosswalk | No | Not inherent | Where defensible |
Explore options
for your questionnaire.
Check initial feasibility and prepare your project scope. Download scope documents locally. Institutional details stay in your browser unless you choose “Validate project details.” No participant data.