Analysis

Preliminary phase

1

2

3

(Finalizing)

Data is

randomly split in 3 parts (20% - 40% - 40%)

EFA

CFA 1

CFA 2 in a sample of equal power

Measurement Invariance across gender

Construct Validity with the

“3-faced construct validation method”

Data screening & Univariate & Multivariate Normality

Standard EFA

Bifactor EFA

ICM-CFA

(Single factor, Multifactor)

Higher-order CFA

Bifactor-CFA

(test of alternative models)

Cross-validation of optimal model of step 2

Multi-group CFA to establish Measurement Invariance

Subsample applied

Planning the Implementation of

“The 3-faced construct validation method”

EFA SUB-SAMPLE =

20%

CFA1 SUB-SAMPLE =

40%

CFA2 SUB-SAMPLE =

40%

Entire Sample