Accumulative Crosswise-Validation Analysis: within-row and between-column validity measurement¶

Element · All elements
Evidence · no claims cited

Description¶

Crosswise-Validation is AMOVA's core analytic operation, yielding sequential instrumentation validation outcomes analogous to ANOVA F-test critical values. The article defines it as "a measure of validity that is taken across items in rows representing 'within' categorical clusters of data and down columns of data in groups representing an overall 'between' items validation analysis". Weighted within-group means (per category) are accumulated into a between-groups total mean to produce the final m-value used to judge instrument efficacy.

Design Implications¶

Context¶

Requirements¶

• Items must be arranged in categorical clusters permitting row (within) and column (between) aggregation
• Item weights assigned via the Taxonomy of Process Education Self-Growth scale

Constraints¶

Target Learners¶

• researchers validating psychometric instruments

Target Learning Goals¶

• within-cluster and between-group instrument validity assessment

Claims¶

Related Elements¶

• AMOVA Cluster Axiom for Manifold Consistency

Examples¶

• Use AMOVA to add validity and reliability assessment value for researcher-designed instruments, with further substantiating research

Key Sources¶

• Osler, J. E. (2015). AMOVA ["Accumulative Manifold Validation Analysis"]: An advanced statistical methodology designed to measure and test the validity, reliability, and overall efficacy of inquiry-based psychometric instruments. i-manager's Journal of Educational Technology, 12(3). https://eric.ed.gov/?id=EJ1098595. doi:10.26634/jet.12.3.3742