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Table 5 Results of one and two-factor CFA

From: Parallel exploratory and confirmatory factor analysis of the Hungarian Fear of COVID-19 Scale in a large general population sample: a psychometric and dimensionality evaluation

One-factor CFA model

Item

Latent factor

estimate (stand. reg. weight)

regression weight (SE)

squared loading (SMC)

 #1

Fear

0.654

1.00 (-)

0.428

 #2

0.670

1.08 (0.05)

0.449

 #3

0.684

0.74 (0.04)

0.468

 #4

0.808

1.01 (0.05)

0.653

 #5

0.759

1.14 (0.06)

0.576

 #6

0.668

0.63 (0.04)

0.447

 #7

0.727

0.74 (0.04)

0.529

One-factor model fit

Statistical measure

Test indices

Test Results

Test standard (unit value)

Model fit

Absolute fit

RMSEA

0.075

 < 0.08

excellent

Chi square/df

93.3 (14)

 < 5.0

not optimal

Chi square p

 < 0.001

 > 0.05

not optimal

SRMR

0.091

 < 0.06

not optimal

Incremental fit

TLI

0.974

 > 0.95

good

CFI

0.962

 > 0.95

good

Two-factor CFA model

Item

Latent factor

estimate (stand. reg. weight)

regression weight

squared loading (SMC)

 #1

1. factor: emotional fear

0.705

1.00 (-)

0.498

 #2

0.735

1.10 (0.05)

0.540

 #5

0.805

1.13 (0.06)

0.649

 #3

2. factor: physiological fear

0.755

1.00 (-)

0.571

 #4

0.877

1.34 (0.08)

0.769

 #6

0.743

0.86 (0.05)

0.552

 #7

0.806

1.00 (0.06)

0.649

Two-factor model fit

Statistical measure

Test indices

Test Results

Test standard (unit value)

Model fit

Absolute fit

RMSEA

0.044

 < 0.08

excellent

Chi square/df

38.3 (13)

 < 5.0

optimal

Chi square p

 < 0.001

 > 0.05

not optimal

SRMR

0.057

 < 0.06

good

Incremental fit

TLI

0.992

 > 0.95

excellent

CFI

0.987

 > 0.95

excellent