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Table 4 Multiple group confirmatory factor analysis based on year (2018 and 2019): model fit measures

From: Are different station formats assessing different dimensions in multiple mini-interviews? Findings from the Canadian integrated French multiple mini-interviews

 

CFI

TLI

RMSEA

SRMR

AIC

BIC

Model 1

0.993

.992

0.014

0.017

241,213.843

241,604.664

Model 2

0.994

.990

0.016

0.017

241,219.843

241,628.429

Model 3

0.993

.970

0.015

0.019

241,214.457

241,581.592

Model 4

0.984

.982

0.021

0.024

241,230.547

241,538.467

  1. Abbreviations: CFI Comparative fit index, TLI Tucker-Lewis index, RMSEA Root mean square error of approximation, AIC Akaike information criterion, BIC Bayesian information criterion
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BMC Medical Education

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