Refining the asymptotically correct standardization of person‐fit statistics for mixed‐format tests
Bibliographic Data
| ID | 22410157 |
|---|---|
| Authors | Sandip Sinharay (0000-0003-4491-8510, ETS Research Institute Princeton New Jersey USA, corresponding author) |
| Year | 2026 |
| Publication date | 2026-04-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Mathematical and Statistical Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-1102 • E-ISSN: 2044-8317 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/bmsp.70049 |
| PMID | 42003850 |
| OpenAlex | W7154954264 |
| Language | EN |
| References cited | 48 |
Sinharay ( Psychometrika , 2016, 81, 992) suggested the asymptotically correct standardized version of a class of person‐fit statistics for mixed‐format tests. This paper provides an alternative and arguably simpler derivation of the standardization. The derivation leads to several benefits including a simpler formula of the (asymptotically correct) standardized person‐fit statistics and a theoretical explanation of simulation results reported in literature on person‐fit statistics. This paper promises to make several person‐fit statistics for mixed‐format tests more accessible to researchers and practitioners.
Class (philosophy) · Mathematical statistics · Refining (metallurgy) · Standardization · Statistical hypothesis testing · Summary statistics · Behavioral and Psychological Studies · Medical Education and Admissions · Psychometric Methodologies and Testing
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| Highly cited | No |
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