ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Analisis Kebolehpercayaan Bertingkat×Analisis Faktor Pengesahan (CFA)×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal20141969
PengasasGeldhof, Preacher & ZyphurKarl Gustav Jöreskog
JenisReliability estimation / psychometric modelingHypothesis-testing latent variable model
Sumber perintisGeldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Aliasmultilevel omega, within-group reliability, between-group reliability, hierarchical reliabilityCFA, confirmatory FA, measurement model, restricted factor analysis
Berkaitan34
RingkasanMultilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms.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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Multilevel Reliability Analysis · Confirmatory factor analysis. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare