Bandingkan metode
Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.
| Pengujian Adaptif Terkomputerisasi dengan Model Rasch (CAT-Rasch)× | Analisis Faktor Eksploratori (EFA)× | |
|---|---|---|
| Bidang≠ | Psikometri | Statistika |
| Keluarga | Latent structure | Latent structure |
| Tahun asal≠ | 1960 (Rasch model); CAT integration from 1970s onward | — |
| Pencetus≠ | Georg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others | — |
| Tipe≠ | Adaptive psychometric measurement | Latent variable / dimension reduction |
| Sumber perintis≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Alias≠ | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Terkait≠ | 5 | 4 |
| Ringkasan≠ | Computerized adaptive testing with the Rasch model selects items in real time based on each examinee's evolving ability estimate, so that every person receives a test precisely calibrated to their proficiency level. The result is a shorter, more efficient measurement instrument that loses none of the precision of a full-length fixed-form test. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateSet data ↗ |
|
|