Assessing the Measurement Equivalence of a Set of Items: Item-Specific Diagnostics on an Interpretable Metric
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| Title: | Assessing the Measurement Equivalence of a Set of Items: Item-Specific Diagnostics on an Interpretable Metric |
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| Language: | English |
| Authors: | Johan Braeken (ORCID |
| Source: | Practical Assessment, Research & Evaluation. 2026 31(1). |
| Availability: | University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/ |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Evaluative |
| Descriptors: | Test Items, Factor Analysis, Effect Size, Measurement, Models, Identification |
| ISSN: | 1531-7714 |
| Abstract: | The characteristic of 'measuring the same thing repeatedly in the same way' makes psychological tests with equivalent items an attractive choice for one-off assessments and progress monitoring. A hierarchy of factor analysis measurement models formalizes the global equivalence of the item set. The traditional model comparison approach provides a binary statistical significance decision about the global level of equivalence, but interpretable local diagnostics to assess the degree of equivalence for specific items on a meaningful metric are not yet available. We introduce such item-specific effect-size diagnostics through smart use of the effect-coding identification rule to set the to-be-measured latent variable's scale. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1507969 |
| Database: | ERIC |
| Abstract: | The characteristic of 'measuring the same thing repeatedly in the same way' makes psychological tests with equivalent items an attractive choice for one-off assessments and progress monitoring. A hierarchy of factor analysis measurement models formalizes the global equivalence of the item set. The traditional model comparison approach provides a binary statistical significance decision about the global level of equivalence, but interpretable local diagnostics to assess the degree of equivalence for specific items on a meaningful metric are not yet available. We introduce such item-specific effect-size diagnostics through smart use of the effect-coding identification rule to set the to-be-measured latent variable's scale. |
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| ISSN: | 1531-7714 |
