Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uthibitisho wa Maudhui× | Uchanganuzi wa Vipengele vya Uchunguzi (EFA)× | |
|---|---|---|
| Nyanja≠ | Saikometriki | Takwimu |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1975 | — |
| Mwanzilishi≠ | C. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement | — |
| Aina≠ | Validity evidence / expert judgement procedure | Latent variable / dimension reduction |
| Chanzo asilia≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | 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 ↗ |
| Majina mbadala≠ | content-related validity, logical validity, face validity, content validation | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Zinazohusiana≠ | 6 | 4 |
| Muhtasari≠ | Content validity is evidence that a measurement instrument adequately samples the full domain of the construct it is intended to measure. It is established through systematic expert review and quantified with indices such as Lawshe's Content Validity Ratio (CVR) and Lynn's Content Validity Index (CVI), making it the foundational validity step in scale development. | 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. |
| ScholarGateSeti ya data ↗ |
|
|