Method evidence record

Ordinal Scale Development

Ordinal scale development is the systematic construction and validation of multi-item measurement instruments whose response options form an ordered but not necessarily equal-interval sequence — most commonly Likert-type formats (e.g., 1 = Strongly Disagree to 5 = Strongly Agree). It applies psychometric techniques that respect the ordinal nature of items rather than treating them as continuous.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Taxonomic method record · latent-structure / psychometrics

DeVellis, R. F. (2017). Scale Development: Theory and Applications (4th ed.). SAGE Publications. · ISBN 978-1506341569
Finney, S. J. & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural Equation Modeling: A Second Course (pp. 269–314). Information Age Publishing. · URL

Open full method

Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal CFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal EFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal Reliability Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketScale developmentmachine-suggested · Relational suggestion, not evidence.