Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi wa Kithihirishi wa Kipengele cha Fomu Fupi (SF-CFA)× | Uchanganuzi wa Kimfumo wa Uhakiki (CFA)× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1990s–2000s | 1969 |
| Mwanzilishi≠ | Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts | Karl Gustav Jöreskog |
| Aina≠ | Confirmatory latent-variable model | Hypothesis-testing latent variable model |
| Chanzo asilia≠ | Byrne, B. M. (2008). Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805841268 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Majina mbadala | SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | Short-form confirmatory factor analysis applies CFA to a reduced subset of items drawn from a longer validated scale, testing whether the abbreviated version preserves the original factor structure with acceptable model fit and reliability. It is a standard step in short-form scale development and validation. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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