Linganisha mbinu

	Nadharia ya Majibu ya Vipengee ya Fomu Fupi (SF-IRT)	Computerized adaptive test item response theory
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1980s–2000s	1970s–1980s
Mwanzilishi	Multiple contributors; IRT adapted to short-form contexts from Lord & Novick (1968) and subsequent applied psychometricians	Lord, F. M.; further developed by Wainer, van der Linden, and others
Aina	Latent trait / item calibration model	Adaptive measurement / sequential testing
Chanzo asilia	Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Majina mbadala	SF-IRT, abbreviated scale IRT, short-form calibration, shortened instrument IRT	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Zinazohusiana	6	4
Muhtasari	Short-form item response theory applies IRT calibration and scoring to abbreviated or shortened psychological scales. It uses item information functions to guide which items to retain from a full-length instrument, then estimates latent trait scores from the reduced item set while preserving psychometric rigor and linkage to the full-scale metric.	Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.